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Unverified Commit be309bfb authored by Charlie Lin's avatar Charlie Lin Committed by GitHub
Browse files

Rewrite TF batch norm; remove batch_norm_inference (#1371) 

Rewrites the TF batch norm like operators to other MIGX operators
Removes the code related to batch_norm_inference
parent 4f3cc417
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Showing with 2054 additions and 4260 deletions
src/CMakeLists.txt
View file @ be309bfb
......@@ -81,7 +81,6 @@ add_library(migraphx
replace_allocate.cpp
simplify_qdq.cpp
sqlite.cpp
rewrite_batchnorm.cpp
rewrite_gelu.cpp
rewrite_pooling.cpp
rewrite_quantization.cpp
......@@ -115,7 +114,6 @@ register_migraphx_ops(
as_shape
atanh
atan
batch_norm_inference
broadcast
capture
ceil
......
src/driver/alexnet.cpp
View file @ be309bfb
......@@ -25,6 +25,7 @@
#include <migraphx/make_op.hpp>
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/json.hpp>
#include "models.hpp"
namespace migraphx {
namespace driver {
......@@ -39,153 +40,161 @@ migraphx::program alexnet(unsigned batch) // NOLINT(readability-function-size)
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1}}, 1)));
auto x_main_module_2 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1}}, 2)));
auto x_0 = mmain->add_parameter(
"0", migraphx::shape{migraphx::shape::float_type, {batch, 3, 224, 224}});
auto x_data_0 = mmain->add_parameter(
"data_0", migraphx::shape{migraphx::shape::float_type, {batch, 3, 224, 224}});
auto x_main_module_4 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1000}}, 3));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1000, 4096}}, 3));
auto x_main_module_5 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1000, 4096}}, 4));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1000}}, 4));
auto x_main_module_6 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {4096}}, 5));
auto x_main_module_7 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {4096, 4096}}, 6));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {4096, 4096}}, 5));
auto x_main_module_7 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {4096}}, 6)));
auto x_main_module_8 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {4096}}, 7));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {4096, 9216}}, 7));
auto x_main_module_9 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {4096, 9216}}, 8));
auto x_main_module_10 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 9));
auto x_main_module_11 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 256, 3, 3}}, 10));
auto x_main_module_12 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 11));
auto x_main_module_13 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 384, 3, 3}}, 12));
auto x_main_module_14 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {384}}, 13));
auto x_main_module_15 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {384, 192, 3, 3}}, 14));
auto x_main_module_16 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {192}}, 15));
auto x_main_module_17 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {192, 64, 5, 5}}, 16));
auto x_main_module_18 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 17));
auto x_main_module_19 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {64, 3, 11, 11}}, 18));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {4096}}, 8));
auto x_main_module_10 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 192, 3, 3}}, 9));
auto x_main_module_11 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 10));
auto x_main_module_12 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {384, 192, 3, 3}}, 11));
auto x_main_module_13 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {384}}, 12));
auto x_main_module_14 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {384, 256, 3, 3}}, 13));
auto x_main_module_15 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {384}}, 14));
auto x_main_module_16 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 48, 5, 5}}, 15));
auto x_main_module_17 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 16)));
auto x_main_module_18 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {96, 3, 11, 11}}, 17));
auto x_main_module_19 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {96}}, 18));
auto x_main_module_20 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[2,2,2,2],padding_mode:0,stride:[4,"
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[4,"
"4],use_dynamic_same_auto_pad:0}"),
x_0,
x_main_module_19);
x_data_0,
x_main_module_18);
auto x_main_module_21 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,64,55,55]}"), x_main_module_18);
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,96,54,54]}"), x_main_module_19);
auto x_main_module_22 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_20, x_main_module_21);
auto x_main_module_23 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_22);
auto x_main_module_24 = mmain->add_instruction(
migraphx::make_json_op("lrn", "{alpha:9.999999747378752e-05,beta:0.75,bias:1.0,size:5}"),
x_main_module_23);
auto x_main_module_25 = mmain->add_instruction(
migraphx::make_json_op(
"pooling",
"{ceil_mode:0,lengths:[3,3],lp_order:2,mode:1,padding:[0,0,0,0],stride:[2,2]}"),
x_main_module_23);
auto x_main_module_25 = mmain->add_instruction(
x_main_module_24);
auto x_main_module_26 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[2,2,2,2],padding_mode:0,stride:[1,"
"{dilation:[1,1],group:2,padding:[2,2,2,2],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_24,
x_main_module_17);
auto x_main_module_26 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,192,27,27]}"), x_main_module_16);
auto x_main_module_27 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_25, x_main_module_26);
auto x_main_module_28 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_27);
auto x_main_module_29 = mmain->add_instruction(
x_main_module_25,
x_main_module_16);
auto x_main_module_27 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,256,26,26]}"), x_main_module_17);
auto x_main_module_28 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_26, x_main_module_27);
auto x_main_module_29 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_28);
auto x_main_module_30 = mmain->add_instruction(
migraphx::make_json_op("lrn", "{alpha:9.999999747378752e-05,beta:0.75,bias:1.0,size:5}"),
x_main_module_29);
auto x_main_module_31 = mmain->add_instruction(
migraphx::make_json_op(
"pooling",
"{ceil_mode:0,lengths:[3,3],lp_order:2,mode:1,padding:[0,0,0,0],stride:[2,2]}"),
x_main_module_28);
auto x_main_module_30 = mmain->add_instruction(
x_main_module_30);
auto x_main_module_32 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_29,
x_main_module_15);
auto x_main_module_31 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,384,13,13]}"), x_main_module_14);
auto x_main_module_32 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_30, x_main_module_31);
auto x_main_module_33 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_32);
auto x_main_module_34 = mmain->add_instruction(
x_main_module_31,
x_main_module_14);
auto x_main_module_33 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,384,12,12]}"), x_main_module_15);
auto x_main_module_34 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_32, x_main_module_33);
auto x_main_module_35 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_34);
auto x_main_module_36 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,"
"{dilation:[1,1],group:2,padding:[1,1,1,1],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_33,
x_main_module_13);
auto x_main_module_35 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,256,13,13]}"), x_main_module_12);
auto x_main_module_36 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_34, x_main_module_35);
auto x_main_module_37 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_36);
auto x_main_module_38 = mmain->add_instruction(
x_main_module_35,
x_main_module_12);
auto x_main_module_37 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,384,12,12]}"), x_main_module_13);
auto x_main_module_38 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_36, x_main_module_37);
auto x_main_module_39 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_38);
auto x_main_module_40 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,"
"{dilation:[1,1],group:2,padding:[1,1,1,1],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_37,
x_main_module_11);
auto x_main_module_39 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,256,13,13]}"), x_main_module_10);
auto x_main_module_40 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_38, x_main_module_39);
auto x_main_module_41 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_40);
auto x_main_module_42 = mmain->add_instruction(
x_main_module_39,
x_main_module_10);
auto x_main_module_41 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,256,12,12]}"), x_main_module_11);
auto x_main_module_42 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_40, x_main_module_41);
auto x_main_module_43 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_42);
auto x_main_module_44 = mmain->add_instruction(
migraphx::make_json_op(
"pooling",
"{ceil_mode:0,lengths:[3,3],lp_order:2,mode:1,padding:[0,0,0,0],stride:[2,2]}"),
x_main_module_41);
auto x_main_module_43 =
mmain->add_instruction(migraphx::make_json_op("flatten", "{axis:1}"), x_main_module_42);
auto x_main_module_44 = mmain->add_instruction(migraphx::make_op("identity"), x_main_module_43);
"{ceil_mode:0,lengths:[3,3],lp_order:2,mode:1,padding:[0,0,1,1],stride:[2,2]}"),
x_main_module_43);
auto x_main_module_45 = mmain->add_instruction(
migraphx::make_json_op("transpose", "{permutation:[1,0]}"), x_main_module_9);
auto x_main_module_46 =
mmain->add_instruction(migraphx::make_op("dot"), x_main_module_44, x_main_module_45);
auto x_main_module_47 = mmain->add_instruction(
migraphx::make_json_op("multibroadcast", "{out_lens:[1,4096]}"), x_main_module_8);
migraphx::make_json_op("reshape", "{dims:[1,9216]}"), x_main_module_44);
auto x_main_module_46 = mmain->add_instruction(
migraphx::make_json_op("transpose", "{permutation:[1,0]}"), x_main_module_8);
auto x_main_module_47 =
mmain->add_instruction(migraphx::make_op("dot"), x_main_module_45, x_main_module_46);
auto x_main_module_48 = mmain->add_instruction(
migraphx::make_json_op("multibroadcast", "{out_lens:[1,4096]}"), x_main_module_9);
auto x_main_module_49 = mmain->add_instruction(
migraphx::make_json_op("multibroadcast", "{out_lens:[1,4096]}"), x_main_module_2);
auto x_main_module_49 =
mmain->add_instruction(migraphx::make_op("mul"), x_main_module_47, x_main_module_48);
auto x_main_module_50 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_46, x_main_module_49);
auto x_main_module_51 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_50);
auto x_main_module_52 = mmain->add_instruction(migraphx::make_op("identity"), x_main_module_51);
auto x_main_module_53 = mmain->add_instruction(
migraphx::make_json_op("transpose", "{permutation:[1,0]}"), x_main_module_7);
auto x_main_module_54 =
mmain->add_instruction(migraphx::make_op("dot"), x_main_module_52, x_main_module_53);
auto x_main_module_55 = mmain->add_instruction(
migraphx::make_json_op("multibroadcast", "{out_lens:[1,4096]}"), x_main_module_6);
mmain->add_instruction(migraphx::make_op("mul"), x_main_module_48, x_main_module_49);
auto x_main_module_51 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_47, x_main_module_50);
auto x_main_module_52 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_51);
auto x_main_module_53 = mmain->add_instruction(migraphx::make_op("identity"), x_main_module_52);
auto x_main_module_54 = mmain->add_instruction(
migraphx::make_json_op("transpose", "{permutation:[1,0]}"), x_main_module_6);
auto x_main_module_55 =
mmain->add_instruction(migraphx::make_op("dot"), x_main_module_53, x_main_module_54);
auto x_main_module_56 = mmain->add_instruction(
migraphx::make_json_op("multibroadcast", "{out_lens:[1,4096]}"), x_main_module_7);
auto x_main_module_57 = mmain->add_instruction(
migraphx::make_json_op("multibroadcast", "{out_lens:[1,4096]}"), x_main_module_1);
auto x_main_module_57 =
mmain->add_instruction(migraphx::make_op("mul"), x_main_module_55, x_main_module_56);
auto x_main_module_58 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_54, x_main_module_57);
auto x_main_module_59 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_58);
auto x_main_module_60 = mmain->add_instruction(
migraphx::make_json_op("transpose", "{permutation:[1,0]}"), x_main_module_5);
auto x_main_module_61 =
mmain->add_instruction(migraphx::make_op("dot"), x_main_module_59, x_main_module_60);
mmain->add_instruction(migraphx::make_op("mul"), x_main_module_56, x_main_module_57);
auto x_main_module_59 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_55, x_main_module_58);
auto x_main_module_60 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_59);
auto x_main_module_61 = mmain->add_instruction(migraphx::make_op("identity"), x_main_module_60);
auto x_main_module_62 = mmain->add_instruction(
migraphx::make_json_op("multibroadcast", "{out_lens:[1,1000]}"), x_main_module_4);
auto x_main_module_63 = mmain->add_instruction(
migraphx::make_json_op("transpose", "{permutation:[1,0]}"), x_main_module_4);
auto x_main_module_63 =
mmain->add_instruction(migraphx::make_op("dot"), x_main_module_61, x_main_module_62);
auto x_main_module_64 = mmain->add_instruction(
migraphx::make_json_op("multibroadcast", "{out_lens:[1,1000]}"), x_main_module_5);
auto x_main_module_65 = mmain->add_instruction(
migraphx::make_json_op("multibroadcast", "{out_lens:[1,1000]}"), x_main_module_0);
auto x_main_module_64 =
mmain->add_instruction(migraphx::make_op("mul"), x_main_module_62, x_main_module_63);
auto x_main_module_65 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_61, x_main_module_64);
mmain->add_return({x_main_module_65});
auto x_main_module_66 =
mmain->add_instruction(migraphx::make_op("mul"), x_main_module_64, x_main_module_65);
auto x_main_module_67 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_63, x_main_module_66);
auto x_main_module_68 =
mmain->add_instruction(migraphx::make_json_op("softmax", "{axis:1}"), x_main_module_67);
mmain->add_return({x_main_module_68});
return p;
}
......
src/driver/inceptionv3.cpp
View file @ be309bfb
This source diff could not be displayed because it is too large. You can view the blob instead.
src/driver/main.cpp
View file @ be309bfb
......@@ -44,7 +44,6 @@
#include <migraphx/propagate_constant.hpp>
#include <migraphx/quantization.hpp>
#include <migraphx/register_op.hpp>
#include <migraphx/rewrite_batchnorm.hpp>
#include <migraphx/simplify_algebra.hpp>
#include <migraphx/simplify_reshapes.hpp>
#include <migraphx/register_target.hpp>
......@@ -221,7 +220,6 @@ struct loader
{
migraphx::run_passes(*p.get_main_module(),
{
migraphx::rewrite_batchnorm{},
migraphx::eliminate_identity{},
migraphx::dead_code_elimination{},
migraphx::simplify_algebra{},
......
src/driver/resnet50.cpp
View file @ be309bfb
......@@ -25,6 +25,7 @@
#include <migraphx/make_op.hpp>
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/json.hpp>
#include "models.hpp"
namespace migraphx {
namespace driver {
......@@ -35,1443 +36,901 @@ migraphx::program resnet50(unsigned batch) // NOLINT(readability-function-size)
migraphx::module_ref mmain = p.get_main_module();
auto x_main_module_0 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1}}, 0)));
auto x_0 = mmain->add_parameter(
"0", migraphx::shape{migraphx::shape::float_type, {batch, 3, 224, 224}});
auto x_main_module_2 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1000}}, 1));
auto x_main_module_1 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1}}, 1)));
auto x_input_tensor_module_0 = mmain->add_parameter(
"input_tensor:0", migraphx::shape{migraphx::shape::float_type, {batch, 3, 224, 224}});
auto x_main_module_3 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1000, 2048}}, 2));
auto x_main_module_4 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {2048}}, 3)));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 2));
auto x_main_module_4 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 512, 3, 3}}, 3));
auto x_main_module_5 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {2048}}, 4));
auto x_main_module_6 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {2048}}, 5));
auto x_main_module_7 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {2048}}, 6)));
auto x_main_module_8 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {2048, 512, 1, 1}}, 7));
auto x_main_module_9 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 8)));
auto x_main_module_10 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 9));
auto x_main_module_11 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 10));
auto x_main_module_12 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 11)));
auto x_main_module_13 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 512, 3, 3}}, 12));
auto x_main_module_14 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 13)));
auto x_main_module_15 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 14));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 4));
auto x_main_module_6 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {2048, 512, 1, 1}}, 5));
auto x_main_module_7 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 64, 1, 1}}, 6));
auto x_main_module_8 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {2048}}, 7));
auto x_main_module_9 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 8));
auto x_main_module_10 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 2048, 1, 1}}, 9));
auto x_main_module_11 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {64, 64, 1, 1}}, 10));
auto x_main_module_12 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 11));
auto x_main_module_13 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 12));
auto x_main_module_14 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 512, 3, 3}}, 13));
auto x_main_module_15 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {64, 64, 3, 3}}, 14));
auto x_main_module_16 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 15));
auto x_main_module_17 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 16)));
auto x_main_module_17 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 16));
auto x_main_module_18 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 2048, 1, 1}}, 17));
auto x_main_module_19 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {2048}}, 18)));
migraphx::shape{migraphx::shape::float_type, {2048, 512, 1, 1}}, 17));
auto x_main_module_19 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 64, 1, 1}}, 18));
auto x_main_module_20 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {2048}}, 19));
auto x_main_module_21 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {2048}}, 20));
auto x_main_module_22 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {2048}}, 21)));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 20));
auto x_main_module_22 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 2048, 1, 1}}, 21));
auto x_main_module_23 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {2048, 512, 1, 1}}, 22));
auto x_main_module_24 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 23)));
migraphx::shape{migraphx::shape::float_type, {64, 256, 1, 1}}, 22));
auto x_main_module_24 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 23));
auto x_main_module_25 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 24));
auto x_main_module_26 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 25));
auto x_main_module_27 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 26)));
auto x_main_module_28 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 512, 3, 3}}, 27));
auto x_main_module_29 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 28)));
auto x_main_module_30 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 29));
auto x_main_module_31 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 30));
auto x_main_module_32 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 31)));
auto x_main_module_33 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 2048, 1, 1}}, 32));
auto x_main_module_34 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {2048}}, 33)));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 24));
auto x_main_module_26 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 512, 3, 3}}, 25));
auto x_main_module_27 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {64, 64, 3, 3}}, 26));
auto x_main_module_28 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 27));
auto x_main_module_29 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 28));
auto x_main_module_30 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {2048, 512, 1, 1}}, 29));
auto x_main_module_31 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 64, 1, 1}}, 30));
auto x_main_module_32 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {2048}}, 31));
auto x_main_module_33 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 32));
auto x_main_module_34 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {64, 256, 1, 1}}, 33));
auto x_main_module_35 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {2048}}, 34));
auto x_main_module_36 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {2048}}, 35));
auto x_main_module_37 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {2048}}, 36)));
auto x_main_module_38 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {2048, 1024, 1, 1}}, 37));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 34));
auto x_main_module_36 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {64, 64, 3, 3}}, 35));
auto x_main_module_37 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 36));
auto x_main_module_38 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 37));
auto x_main_module_39 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {2048}}, 38)));
auto x_main_module_40 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {2048}}, 39));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 38)));
auto x_main_module_40 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 64, 1, 1}}, 39));
auto x_main_module_41 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {2048}}, 40));
auto x_main_module_42 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {2048}}, 41)));
auto x_main_module_43 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {2048, 512, 1, 1}}, 42));
auto x_main_module_44 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 43)));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 40));
auto x_main_module_42 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 41));
auto x_main_module_43 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 42)));
auto x_main_module_44 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {128, 128, 3, 3}}, 43));
auto x_main_module_45 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 44));
auto x_main_module_46 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 45));
auto x_main_module_47 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 46)));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 44));
auto x_main_module_46 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 128, 1, 1}}, 45));
auto x_main_module_47 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 46));
auto x_main_module_48 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 512, 3, 3}}, 47));
auto x_main_module_49 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 48)));
auto x_main_module_50 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 49));
migraphx::shape{migraphx::shape::float_type, {1024, 512, 1, 1}}, 47));
auto x_main_module_49 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 48));
auto x_main_module_50 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 512, 1, 1}}, 49));
auto x_main_module_51 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 50));
auto x_main_module_52 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 51)));
auto x_main_module_53 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 1024, 1, 1}}, 52));
auto x_main_module_54 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 53)));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 50));
auto x_main_module_52 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 256, 3, 3}}, 51));
auto x_main_module_53 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 52));
auto x_main_module_54 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {1024, 256, 1, 1}}, 53));
auto x_main_module_55 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 54));
auto x_main_module_56 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 55));
auto x_main_module_56 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 1024, 1, 1}}, 55));
auto x_main_module_57 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 56));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 56));
auto x_main_module_58 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {1024, 256, 1, 1}}, 57));
auto x_main_module_59 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 58)));
auto x_main_module_60 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 59));
migraphx::shape{migraphx::shape::float_type, {256, 256, 3, 3}}, 57));
auto x_main_module_59 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 58));
auto x_main_module_60 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {1024, 256, 1, 1}}, 59));
auto x_main_module_61 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 60));
auto x_main_module_62 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 61)));
auto x_main_module_63 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 256, 3, 3}}, 62));
auto x_main_module_64 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 63)));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 60));
auto x_main_module_62 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 1024, 1, 1}}, 61));
auto x_main_module_63 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 62));
auto x_main_module_64 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 256, 3, 3}}, 63));
auto x_main_module_65 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 64));
auto x_main_module_66 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 65));
auto x_main_module_67 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 66)));
auto x_main_module_66 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 256, 1, 1}}, 65));
auto x_main_module_67 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 66));
auto x_main_module_68 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 1024, 1, 1}}, 67));
auto x_main_module_69 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 68)));
auto x_main_module_70 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 69));
migraphx::shape{migraphx::shape::float_type, {128, 256, 1, 1}}, 67));
auto x_main_module_69 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 68));
auto x_main_module_70 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {128, 128, 3, 3}}, 69));
auto x_main_module_71 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 70));
auto x_main_module_72 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 71));
auto x_main_module_73 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {1024, 256, 1, 1}}, 72));
auto x_main_module_74 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 73)));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 70));
auto x_main_module_72 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 128, 1, 1}}, 71));
auto x_main_module_73 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 72));
auto x_main_module_74 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {128, 512, 1, 1}}, 73));
auto x_main_module_75 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 74));
auto x_main_module_76 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 75));
auto x_main_module_77 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 76)));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 74));
auto x_main_module_76 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {128, 128, 3, 3}}, 75));
auto x_main_module_77 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 76));
auto x_main_module_78 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 256, 3, 3}}, 77));
auto x_main_module_79 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 78)));
auto x_main_module_80 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 79));
migraphx::shape{migraphx::shape::float_type, {512, 128, 1, 1}}, 77));
auto x_main_module_79 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 78));
auto x_main_module_80 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {128, 512, 1, 1}}, 79));
auto x_main_module_81 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 80));
auto x_main_module_82 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 81)));
auto x_main_module_83 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 1024, 1, 1}}, 82));
auto x_main_module_84 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 83)));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 80));
auto x_main_module_82 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {128, 128, 3, 3}}, 81));
auto x_main_module_83 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 82));
auto x_main_module_84 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 128, 1, 1}}, 83));
auto x_main_module_85 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 84));
auto x_main_module_86 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 85));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 84));
auto x_main_module_86 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {128, 512, 1, 1}}, 85));
auto x_main_module_87 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 86));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 86));
auto x_main_module_88 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {1024, 256, 1, 1}}, 87));
auto x_main_module_89 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 88)));
auto x_main_module_89 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {64, 3, 7, 7}}, 88));
auto x_main_module_90 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 89));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1001}}, 89));
auto x_main_module_91 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 90));
auto x_main_module_92 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 91)));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 90));
auto x_main_module_92 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {2048, 1001}}, 91));
auto x_main_module_93 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 256, 3, 3}}, 92));
auto x_main_module_94 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 93)));
auto x_main_module_95 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 94));
migraphx::shape{migraphx::shape::float_type, {256, 1024, 1, 1}}, 92));
auto x_main_module_94 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 93));
auto x_main_module_95 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 256, 3, 3}}, 94));
auto x_main_module_96 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 95));
auto x_main_module_97 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 96)));
auto x_main_module_98 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 1024, 1, 1}}, 97));
auto x_main_module_99 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 98)));
auto x_main_module_97 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {1024, 256, 1, 1}}, 96));
auto x_main_module_98 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 97));
auto x_main_module_99 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 1024, 1, 1}}, 98));
auto x_main_module_100 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 99));
auto x_main_module_101 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 100));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 99));
auto x_main_module_101 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 256, 3, 3}}, 100));
auto x_main_module_102 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 101));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 101));
auto x_main_module_103 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {1024, 256, 1, 1}}, 102));
auto x_main_module_104 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 103)));
auto x_main_module_105 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 104));
auto x_main_module_104 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 103));
auto x_main_module_105 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 1024, 1, 1}}, 104));
auto x_main_module_106 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 105));
auto x_main_module_107 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 106)));
auto x_main_module_108 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 256, 3, 3}}, 107));
auto x_main_module_109 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 108)));
auto x_main_module_107 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 256, 3, 3}}, 106));
auto x_main_module_108 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 107));
auto x_main_module_109 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {1024, 256, 1, 1}}, 108));
auto x_main_module_110 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 109));
auto x_main_module_111 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 110));
auto x_main_module_112 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 111)));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 109));
auto x_main_module_111 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {2048, 1024, 1, 1}}, 110));
auto x_main_module_112 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {2048}}, 111));
auto x_main_module_113 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 1024, 1, 1}}, 112));
auto x_main_module_114 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 113)));
auto x_main_module_115 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 114));
auto x_main_module_116 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 115));
auto x_main_module_117 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 116));
auto x_main_module_118 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {1024, 256, 1, 1}}, 117));
auto x_main_module_119 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 118)));
auto x_main_module_120 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 119));
auto x_main_module_121 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 120));
auto x_main_module_122 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 121)));
auto x_main_module_123 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 256, 3, 3}}, 122));
auto x_main_module_124 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 123)));
auto x_main_module_125 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 124));
auto x_main_module_126 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 125));
auto x_main_module_127 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 126)));
auto x_main_module_128 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 1024, 1, 1}}, 127));
auto x_main_module_129 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 128)));
auto x_main_module_130 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 129));
auto x_main_module_131 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 130));
auto x_main_module_132 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 131));
auto x_main_module_133 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {1024, 512, 1, 1}}, 132));
auto x_main_module_134 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 133)));
auto x_main_module_135 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 134));
auto x_main_module_136 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 135));
auto x_main_module_137 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 136));
auto x_main_module_138 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {1024, 256, 1, 1}}, 137));
auto x_main_module_139 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 138)));
auto x_main_module_140 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 139));
auto x_main_module_141 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 140));
auto x_main_module_142 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 141)));
auto x_main_module_143 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 256, 3, 3}}, 142));
auto x_main_module_144 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 143)));
auto x_main_module_145 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 144));
auto x_main_module_146 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 145));
auto x_main_module_147 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 146)));
auto x_main_module_148 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 512, 1, 1}}, 147));
auto x_main_module_149 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 148)));
auto x_main_module_150 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 149));
auto x_main_module_151 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 150));
auto x_main_module_152 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 151));
auto x_main_module_153 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 128, 1, 1}}, 152));
auto x_main_module_154 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 153)));
auto x_main_module_155 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 154));
auto x_main_module_156 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 155));
auto x_main_module_157 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 156)));
auto x_main_module_158 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {128, 128, 3, 3}}, 157));
auto x_main_module_159 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 158)));
auto x_main_module_160 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 159));
auto x_main_module_161 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 160));
auto x_main_module_162 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 161)));
auto x_main_module_163 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {128, 512, 1, 1}}, 162));
auto x_main_module_164 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 163)));
auto x_main_module_165 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 164));
auto x_main_module_166 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 165));
auto x_main_module_167 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 166));
auto x_main_module_168 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 128, 1, 1}}, 167));
auto x_main_module_169 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 168)));
auto x_main_module_170 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 169));
auto x_main_module_171 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 170));
auto x_main_module_172 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 171)));
auto x_main_module_173 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {128, 128, 3, 3}}, 172));
auto x_main_module_174 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 173)));
auto x_main_module_175 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 174));
auto x_main_module_176 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 175));
auto x_main_module_177 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 176)));
auto x_main_module_178 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {128, 512, 1, 1}}, 177));
auto x_main_module_179 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 178)));
auto x_main_module_180 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 179));
auto x_main_module_181 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 180));
auto x_main_module_182 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 181));
auto x_main_module_183 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 128, 1, 1}}, 182));
auto x_main_module_184 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 183)));
auto x_main_module_185 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 184));
auto x_main_module_186 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 185));
auto x_main_module_187 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 186)));
auto x_main_module_188 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {128, 128, 3, 3}}, 187));
auto x_main_module_189 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 188)));
auto x_main_module_190 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 189));
auto x_main_module_191 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 190));
auto x_main_module_192 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 191)));
auto x_main_module_193 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {128, 512, 1, 1}}, 192));
auto x_main_module_194 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 193)));
auto x_main_module_195 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 194));
auto x_main_module_196 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 195));
auto x_main_module_197 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 196));
auto x_main_module_198 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 256, 1, 1}}, 197));
auto x_main_module_199 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 198)));
auto x_main_module_200 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 199));
auto x_main_module_201 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 200));
auto x_main_module_202 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 201));
auto x_main_module_203 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 128, 1, 1}}, 202));
auto x_main_module_204 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 203)));
auto x_main_module_205 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 204));
auto x_main_module_206 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 205));
auto x_main_module_207 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 206)));
auto x_main_module_208 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {128, 128, 3, 3}}, 207));
auto x_main_module_209 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 208)));
auto x_main_module_210 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 209));
auto x_main_module_211 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 210));
auto x_main_module_212 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 211)));
auto x_main_module_213 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {128, 256, 1, 1}}, 212));
auto x_main_module_214 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 213)));
auto x_main_module_215 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 214));
auto x_main_module_216 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 215));
auto x_main_module_217 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 216));
auto x_main_module_218 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 64, 1, 1}}, 217));
auto x_main_module_219 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 218)));
auto x_main_module_220 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 219));
auto x_main_module_221 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 220));
auto x_main_module_222 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 221)));
auto x_main_module_223 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {64, 64, 3, 3}}, 222));
auto x_main_module_224 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 223)));
auto x_main_module_225 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 224));
auto x_main_module_226 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 225));
auto x_main_module_227 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 226)));
auto x_main_module_228 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {64, 256, 1, 1}}, 227));
auto x_main_module_229 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 228)));
auto x_main_module_230 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 229));
auto x_main_module_231 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 230));
auto x_main_module_232 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 231));
auto x_main_module_233 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 64, 1, 1}}, 232));
auto x_main_module_234 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 233)));
auto x_main_module_235 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 234));
auto x_main_module_236 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 235));
auto x_main_module_237 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 236)));
auto x_main_module_238 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {64, 64, 3, 3}}, 237));
auto x_main_module_239 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 238)));
auto x_main_module_240 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 239));
auto x_main_module_241 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 240));
auto x_main_module_242 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 241)));
auto x_main_module_243 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {64, 256, 1, 1}}, 242));
auto x_main_module_244 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 243)));
auto x_main_module_245 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 244));
auto x_main_module_246 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 245));
auto x_main_module_247 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 246));
auto x_main_module_248 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 64, 1, 1}}, 247));
auto x_main_module_249 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 248)));
auto x_main_module_250 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 249));
auto x_main_module_251 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 250));
auto x_main_module_252 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 251));
auto x_main_module_253 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 64, 1, 1}}, 252));
auto x_main_module_254 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 253)));
auto x_main_module_255 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 254));
auto x_main_module_256 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 255));
auto x_main_module_257 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 256)));
auto x_main_module_258 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {64, 64, 3, 3}}, 257));
auto x_main_module_259 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 258)));
auto x_main_module_260 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 259));
auto x_main_module_261 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 260));
auto x_main_module_262 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 261)));
auto x_main_module_263 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {64, 64, 1, 1}}, 262));
auto x_main_module_264 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 263)));
auto x_main_module_265 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 264));
auto x_main_module_266 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 265));
auto x_main_module_267 = mmain->add_literal(migraphx::abs(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 266)));
auto x_main_module_268 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {64, 3, 7, 7}}, 267));
auto x_main_module_269 = mmain->add_instruction(
migraphx::shape{migraphx::shape::float_type, {512, 1024, 1, 1}}, 112));
auto x_main_module_114 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[3,3,3,3],padding_mode:0,stride:[2,"
"2],use_dynamic_same_auto_pad:0}"),
x_0,
x_main_module_268);
auto x_main_module_270 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_269,
x_main_module_267,
x_main_module_266,
x_main_module_265,
x_main_module_264);
auto x_main_module_271 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_270);
auto x_main_module_272 = mmain->add_instruction(
x_input_tensor_module_0,
x_main_module_89);
auto x_main_module_115 = mmain->add_instruction(
migraphx::make_json_op("unsqueeze", "{axes:[1,2],steps:[]}"), x_main_module_39);
auto x_main_module_116 = mmain->add_instruction(
migraphx::make_json_op("unsqueeze", "{axes:[1,2],steps:[]}"), x_main_module_37);
auto x_main_module_117 = mmain->add_instruction(
migraphx::make_json_op("unsqueeze", "{axes:[1,2],steps:[]}"), x_main_module_41);
auto x_main_module_118 = mmain->add_instruction(
migraphx::make_json_op("unsqueeze", "{axes:[1,2],steps:[]}"), x_main_module_43);
auto x_main_module_119 = mmain->add_instruction(
migraphx::make_json_op("multibroadcast", "{out_lens:[1,64,112,112]}"), x_main_module_117);
auto x_main_module_120 =
mmain->add_instruction(migraphx::make_op("sub"), x_main_module_114, x_main_module_119);
auto x_main_module_121 = mmain->add_instruction(
migraphx::make_json_op("multibroadcast", "{out_lens:[64,1,1]}"), x_main_module_0);
auto x_main_module_122 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_118, x_main_module_121);
auto x_main_module_123 = mmain->add_instruction(
migraphx::make_json_op("multibroadcast", "{out_lens:[64,1,1]}"), x_main_module_1);
auto x_main_module_124 =
mmain->add_instruction(migraphx::make_op("pow"), x_main_module_122, x_main_module_123);
auto x_main_module_125 = mmain->add_instruction(
migraphx::make_json_op("multibroadcast", "{out_lens:[1,64,112,112]}"), x_main_module_124);
auto x_main_module_126 =
mmain->add_instruction(migraphx::make_op("div"), x_main_module_120, x_main_module_125);
auto x_main_module_127 = mmain->add_instruction(
migraphx::make_json_op("multibroadcast", "{out_lens:[1,64,112,112]}"), x_main_module_115);
auto x_main_module_128 =
mmain->add_instruction(migraphx::make_op("mul"), x_main_module_126, x_main_module_127);
auto x_main_module_129 = mmain->add_instruction(
migraphx::make_json_op("multibroadcast", "{out_lens:[1,64,112,112]}"), x_main_module_116);
auto x_main_module_130 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_128, x_main_module_129);
auto x_main_module_131 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_130);
auto x_main_module_132 = mmain->add_instruction(
migraphx::make_json_op(
"pooling",
"{ceil_mode:0,lengths:[3,3],lp_order:2,mode:1,padding:[1,1,1,1],stride:[2,2]}"),
x_main_module_271);
auto x_main_module_273 = mmain->add_instruction(
"{ceil_mode:0,lengths:[3,3],lp_order:2,mode:1,padding:[0,0,1,1],stride:[2,2]}"),
x_main_module_131);
auto x_main_module_133 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_272,
x_main_module_263);
auto x_main_module_274 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_273,
x_main_module_262,
x_main_module_261,
x_main_module_260,
x_main_module_259);
auto x_main_module_275 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_274);
auto x_main_module_276 = mmain->add_instruction(
x_main_module_132,
x_main_module_11);
auto x_main_module_134 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,64,56,56]}"), x_main_module_13);
auto x_main_module_135 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_133, x_main_module_134);
auto x_main_module_136 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_135);
auto x_main_module_137 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_275,
x_main_module_258);
auto x_main_module_277 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_276,
x_main_module_257,
x_main_module_256,
x_main_module_255,
x_main_module_254);
auto x_main_module_278 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_277);
auto x_main_module_279 = mmain->add_instruction(
x_main_module_136,
x_main_module_15);
auto x_main_module_138 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,64,56,56]}"), x_main_module_17);
auto x_main_module_139 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_137, x_main_module_138);
auto x_main_module_140 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_139);
auto x_main_module_141 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_278,
x_main_module_253);
auto x_main_module_280 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_279,
x_main_module_252,
x_main_module_251,
x_main_module_250,
x_main_module_249);
auto x_main_module_281 = mmain->add_instruction(
x_main_module_140,
x_main_module_19);
auto x_main_module_142 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,256,56,56]}"), x_main_module_21);
auto x_main_module_143 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_141, x_main_module_142);
auto x_main_module_144 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_272,
x_main_module_248);
auto x_main_module_282 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_281,
x_main_module_247,
x_main_module_246,
x_main_module_245,
x_main_module_244);
auto x_main_module_283 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_280, x_main_module_282);
auto x_main_module_284 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_283);
auto x_main_module_285 = mmain->add_instruction(
x_main_module_132,
x_main_module_7);
auto x_main_module_145 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,256,56,56]}"), x_main_module_9);
auto x_main_module_146 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_144, x_main_module_145);
auto x_main_module_147 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_143, x_main_module_146);
auto x_main_module_148 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_147);
auto x_main_module_149 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_284,
x_main_module_243);
auto x_main_module_286 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_285,
x_main_module_242,
x_main_module_241,
x_main_module_240,
x_main_module_239);
auto x_main_module_287 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_286);
auto x_main_module_288 = mmain->add_instruction(
x_main_module_148,
x_main_module_23);
auto x_main_module_150 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,64,56,56]}"), x_main_module_25);
auto x_main_module_151 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_149, x_main_module_150);
auto x_main_module_152 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_151);
auto x_main_module_153 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_287,
x_main_module_238);
auto x_main_module_289 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_288,
x_main_module_237,
x_main_module_236,
x_main_module_235,
x_main_module_234);
auto x_main_module_290 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_289);
auto x_main_module_291 = mmain->add_instruction(
x_main_module_152,
x_main_module_27);
auto x_main_module_154 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,64,56,56]}"), x_main_module_29);
auto x_main_module_155 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_153, x_main_module_154);
auto x_main_module_156 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_155);
auto x_main_module_157 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_290,
x_main_module_233);
auto x_main_module_292 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_291,
x_main_module_232,
x_main_module_231,
x_main_module_230,
x_main_module_229);
auto x_main_module_293 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_292, x_main_module_284);
auto x_main_module_294 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_293);
auto x_main_module_295 = mmain->add_instruction(
x_main_module_156,
x_main_module_31);
auto x_main_module_158 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,256,56,56]}"), x_main_module_33);
auto x_main_module_159 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_157, x_main_module_158);
auto x_main_module_160 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_159, x_main_module_148);
auto x_main_module_161 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_160);
auto x_main_module_162 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_294,
x_main_module_228);
auto x_main_module_296 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_295,
x_main_module_227,
x_main_module_226,
x_main_module_225,
x_main_module_224);
auto x_main_module_297 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_296);
auto x_main_module_298 = mmain->add_instruction(
x_main_module_161,
x_main_module_34);
auto x_main_module_163 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,64,56,56]}"), x_main_module_35);
auto x_main_module_164 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_162, x_main_module_163);
auto x_main_module_165 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_164);
auto x_main_module_166 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_297,
x_main_module_223);
auto x_main_module_299 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_298,
x_main_module_222,
x_main_module_221,
x_main_module_220,
x_main_module_219);
auto x_main_module_300 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_299);
auto x_main_module_301 = mmain->add_instruction(
x_main_module_165,
x_main_module_36);
auto x_main_module_167 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,64,56,56]}"), x_main_module_38);
auto x_main_module_168 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_166, x_main_module_167);
auto x_main_module_169 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_168);
auto x_main_module_170 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_300,
x_main_module_218);
auto x_main_module_302 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_301,
x_main_module_217,
x_main_module_216,
x_main_module_215,
x_main_module_214);
auto x_main_module_303 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_302, x_main_module_294);
auto x_main_module_304 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_303);
auto x_main_module_305 = mmain->add_instruction(
x_main_module_169,
x_main_module_40);
auto x_main_module_171 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,256,56,56]}"), x_main_module_42);
auto x_main_module_172 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_170, x_main_module_171);
auto x_main_module_173 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_172, x_main_module_161);
auto x_main_module_174 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_173);
auto x_main_module_175 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_304,
x_main_module_213);
auto x_main_module_306 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_305,
x_main_module_212,
x_main_module_211,
x_main_module_210,
x_main_module_209);
auto x_main_module_307 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_306);
auto x_main_module_308 = mmain->add_instruction(
x_main_module_174,
x_main_module_68);
auto x_main_module_176 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,128,56,56]}"), x_main_module_69);
auto x_main_module_177 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_175, x_main_module_176);
auto x_main_module_178 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_177);
auto x_main_module_179 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[2,"
"2],use_dynamic_same_auto_pad:0}"),
x_main_module_307,
x_main_module_208);
auto x_main_module_309 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_308,
x_main_module_207,
x_main_module_206,
x_main_module_205,
x_main_module_204);
auto x_main_module_310 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_309);
auto x_main_module_311 = mmain->add_instruction(
x_main_module_178,
x_main_module_70);
auto x_main_module_180 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,128,28,28]}"), x_main_module_71);
auto x_main_module_181 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_179, x_main_module_180);
auto x_main_module_182 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_181);
auto x_main_module_183 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_310,
x_main_module_203);
auto x_main_module_312 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_311,
x_main_module_202,
x_main_module_201,
x_main_module_200,
x_main_module_199);
auto x_main_module_313 = mmain->add_instruction(
x_main_module_182,
x_main_module_72);
auto x_main_module_184 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,512,28,28]}"), x_main_module_73);
auto x_main_module_185 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_183, x_main_module_184);
auto x_main_module_186 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[2,"
"2],use_dynamic_same_auto_pad:0}"),
x_main_module_304,
x_main_module_198);
auto x_main_module_314 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_313,
x_main_module_197,
x_main_module_196,
x_main_module_195,
x_main_module_194);
auto x_main_module_315 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_312, x_main_module_314);
auto x_main_module_316 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_315);
auto x_main_module_317 = mmain->add_instruction(
x_main_module_174,
x_main_module_66);
auto x_main_module_187 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,512,28,28]}"), x_main_module_67);
auto x_main_module_188 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_186, x_main_module_187);
auto x_main_module_189 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_185, x_main_module_188);
auto x_main_module_190 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_189);
auto x_main_module_191 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_316,
x_main_module_193);
auto x_main_module_318 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_317,
x_main_module_192,
x_main_module_191,
x_main_module_190,
x_main_module_189);
auto x_main_module_319 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_318);
auto x_main_module_320 = mmain->add_instruction(
x_main_module_74);
auto x_main_module_192 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,128,28,28]}"), x_main_module_75);
auto x_main_module_193 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_191, x_main_module_192);
auto x_main_module_194 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_193);
auto x_main_module_195 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_319,
x_main_module_188);
auto x_main_module_321 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_320,
x_main_module_187,
x_main_module_186,
x_main_module_185,
x_main_module_184);
auto x_main_module_322 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_321);
auto x_main_module_323 = mmain->add_instruction(
x_main_module_194,
x_main_module_76);
auto x_main_module_196 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,128,28,28]}"), x_main_module_77);
auto x_main_module_197 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_195, x_main_module_196);
auto x_main_module_198 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_197);
auto x_main_module_199 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_322,
x_main_module_183);
auto x_main_module_324 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_323,
x_main_module_182,
x_main_module_181,
x_main_module_180,
x_main_module_179);
auto x_main_module_325 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_324, x_main_module_316);
auto x_main_module_326 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_325);
auto x_main_module_327 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_326,
x_main_module_178);
auto x_main_module_328 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_327,
x_main_module_177,
x_main_module_176,
x_main_module_175,
x_main_module_174);
auto x_main_module_329 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_328);
auto x_main_module_330 = mmain->add_instruction(
x_main_module_198,
x_main_module_78);
auto x_main_module_200 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,512,28,28]}"), x_main_module_79);
auto x_main_module_201 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_199, x_main_module_200);
auto x_main_module_202 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_201, x_main_module_190);
auto x_main_module_203 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_202);
auto x_main_module_204 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_203,
x_main_module_80);
auto x_main_module_205 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,128,28,28]}"), x_main_module_81);
auto x_main_module_206 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_204, x_main_module_205);
auto x_main_module_207 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_206);
auto x_main_module_208 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_329,
x_main_module_173);
auto x_main_module_331 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_330,
x_main_module_172,
x_main_module_171,
x_main_module_170,
x_main_module_169);
auto x_main_module_332 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_331);
auto x_main_module_333 = mmain->add_instruction(
x_main_module_207,
x_main_module_82);
auto x_main_module_209 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,128,28,28]}"), x_main_module_83);
auto x_main_module_210 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_208, x_main_module_209);
auto x_main_module_211 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_210);
auto x_main_module_212 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_332,
x_main_module_168);
auto x_main_module_334 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_333,
x_main_module_167,
x_main_module_166,
x_main_module_165,
x_main_module_164);
auto x_main_module_335 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_334, x_main_module_326);
auto x_main_module_336 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_335);
auto x_main_module_337 = mmain->add_instruction(
x_main_module_211,
x_main_module_84);
auto x_main_module_213 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,512,28,28]}"), x_main_module_85);
auto x_main_module_214 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_212, x_main_module_213);
auto x_main_module_215 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_214, x_main_module_203);
auto x_main_module_216 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_215);
auto x_main_module_217 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_336,
x_main_module_163);
auto x_main_module_338 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_337,
x_main_module_162,
x_main_module_161,
x_main_module_160,
x_main_module_159);
auto x_main_module_339 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_338);
auto x_main_module_340 = mmain->add_instruction(
x_main_module_216,
x_main_module_86);
auto x_main_module_218 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,128,28,28]}"), x_main_module_87);
auto x_main_module_219 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_217, x_main_module_218);
auto x_main_module_220 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_219);
auto x_main_module_221 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_339,
x_main_module_158);
auto x_main_module_341 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_340,
x_main_module_157,
x_main_module_156,
x_main_module_155,
x_main_module_154);
auto x_main_module_342 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_341);
auto x_main_module_343 = mmain->add_instruction(
x_main_module_220,
x_main_module_44);
auto x_main_module_222 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,128,28,28]}"), x_main_module_45);
auto x_main_module_223 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_221, x_main_module_222);
auto x_main_module_224 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_223);
auto x_main_module_225 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_342,
x_main_module_153);
auto x_main_module_344 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_343,
x_main_module_152,
x_main_module_151,
x_main_module_150,
x_main_module_149);
auto x_main_module_345 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_344, x_main_module_336);
auto x_main_module_346 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_345);
auto x_main_module_347 = mmain->add_instruction(
x_main_module_224,
x_main_module_46);
auto x_main_module_226 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,512,28,28]}"), x_main_module_47);
auto x_main_module_227 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_225, x_main_module_226);
auto x_main_module_228 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_227, x_main_module_216);
auto x_main_module_229 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_228);
auto x_main_module_230 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_346,
x_main_module_148);
auto x_main_module_348 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_347,
x_main_module_147,
x_main_module_146,
x_main_module_145,
x_main_module_144);
auto x_main_module_349 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_348);
auto x_main_module_350 = mmain->add_instruction(
x_main_module_229,
x_main_module_50);
auto x_main_module_231 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,256,28,28]}"), x_main_module_51);
auto x_main_module_232 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_230, x_main_module_231);
auto x_main_module_233 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_232);
auto x_main_module_234 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[2,"
"2],use_dynamic_same_auto_pad:0}"),
x_main_module_349,
x_main_module_143);
auto x_main_module_351 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_350,
x_main_module_142,
x_main_module_141,
x_main_module_140,
x_main_module_139);
auto x_main_module_352 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_351);
auto x_main_module_353 = mmain->add_instruction(
x_main_module_233,
x_main_module_52);
auto x_main_module_235 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,256,14,14]}"), x_main_module_53);
auto x_main_module_236 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_234, x_main_module_235);
auto x_main_module_237 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_236);
auto x_main_module_238 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_352,
x_main_module_138);
auto x_main_module_354 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_353,
x_main_module_137,
x_main_module_136,
x_main_module_135,
x_main_module_134);
auto x_main_module_355 = mmain->add_instruction(
x_main_module_237,
x_main_module_54);
auto x_main_module_239 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,1024,14,14]}"), x_main_module_55);
auto x_main_module_240 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_238, x_main_module_239);
auto x_main_module_241 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[2,"
"2],use_dynamic_same_auto_pad:0}"),
x_main_module_346,
x_main_module_133);
auto x_main_module_356 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_355,
x_main_module_132,
x_main_module_131,
x_main_module_130,
x_main_module_129);
auto x_main_module_357 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_354, x_main_module_356);
auto x_main_module_358 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_357);
auto x_main_module_359 = mmain->add_instruction(
x_main_module_229,
x_main_module_48);
auto x_main_module_242 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,1024,14,14]}"), x_main_module_49);
auto x_main_module_243 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_241, x_main_module_242);
auto x_main_module_244 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_240, x_main_module_243);
auto x_main_module_245 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_244);
auto x_main_module_246 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_358,
x_main_module_128);
auto x_main_module_360 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_359,
x_main_module_127,
x_main_module_126,
x_main_module_125,
x_main_module_124);
auto x_main_module_361 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_360);
auto x_main_module_362 = mmain->add_instruction(
x_main_module_245,
x_main_module_56);
auto x_main_module_247 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,256,14,14]}"), x_main_module_57);
auto x_main_module_248 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_246, x_main_module_247);
auto x_main_module_249 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_248);
auto x_main_module_250 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_361,
x_main_module_123);
auto x_main_module_363 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_362,
x_main_module_122,
x_main_module_121,
x_main_module_120,
x_main_module_119);
auto x_main_module_364 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_363);
auto x_main_module_365 = mmain->add_instruction(
x_main_module_249,
x_main_module_58);
auto x_main_module_251 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,256,14,14]}"), x_main_module_59);
auto x_main_module_252 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_250, x_main_module_251);
auto x_main_module_253 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_252);
auto x_main_module_254 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_364,
x_main_module_118);
auto x_main_module_366 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_365,
x_main_module_117,
x_main_module_116,
x_main_module_115,
x_main_module_114);
auto x_main_module_367 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_366, x_main_module_358);
auto x_main_module_368 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_367);
auto x_main_module_369 = mmain->add_instruction(
x_main_module_253,
x_main_module_60);
auto x_main_module_255 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,1024,14,14]}"), x_main_module_61);
auto x_main_module_256 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_254, x_main_module_255);
auto x_main_module_257 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_256, x_main_module_245);
auto x_main_module_258 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_257);
auto x_main_module_259 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_368,
x_main_module_113);
auto x_main_module_370 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_369,
x_main_module_112,
x_main_module_111,
x_main_module_110,
x_main_module_109);
auto x_main_module_371 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_370);
auto x_main_module_372 = mmain->add_instruction(
x_main_module_258,
x_main_module_62);
auto x_main_module_260 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,256,14,14]}"), x_main_module_63);
auto x_main_module_261 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_259, x_main_module_260);
auto x_main_module_262 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_261);
auto x_main_module_263 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_371,
x_main_module_108);
auto x_main_module_373 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_372,
x_main_module_107,
x_main_module_106,
x_main_module_105,
x_main_module_104);
auto x_main_module_374 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_373);
auto x_main_module_375 = mmain->add_instruction(
x_main_module_262,
x_main_module_64);
auto x_main_module_264 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,256,14,14]}"), x_main_module_65);
auto x_main_module_265 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_263, x_main_module_264);
auto x_main_module_266 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_265);
auto x_main_module_267 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_374,
x_main_module_103);
auto x_main_module_376 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_375,
x_main_module_102,
x_main_module_101,
x_main_module_100,
x_main_module_99);
auto x_main_module_377 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_376, x_main_module_368);
auto x_main_module_378 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_377);
auto x_main_module_379 = mmain->add_instruction(
x_main_module_266,
x_main_module_88);
auto x_main_module_268 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,1024,14,14]}"), x_main_module_91);
auto x_main_module_269 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_267, x_main_module_268);
auto x_main_module_270 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_269, x_main_module_258);
auto x_main_module_271 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_270);
auto x_main_module_272 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_378,
x_main_module_98);
auto x_main_module_380 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_379,
x_main_module_97,
x_main_module_96,
x_main_module_95,
x_main_module_94);
auto x_main_module_381 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_380);
auto x_main_module_382 = mmain->add_instruction(
x_main_module_271,
x_main_module_93);
auto x_main_module_273 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,256,14,14]}"), x_main_module_94);
auto x_main_module_274 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_272, x_main_module_273);
auto x_main_module_275 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_274);
auto x_main_module_276 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_381,
x_main_module_93);
auto x_main_module_383 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_382,
x_main_module_92,
x_main_module_91,
x_main_module_90,
x_main_module_89);
auto x_main_module_384 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_383);
auto x_main_module_385 = mmain->add_instruction(
x_main_module_275,
x_main_module_95);
auto x_main_module_277 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,256,14,14]}"), x_main_module_96);
auto x_main_module_278 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_276, x_main_module_277);
auto x_main_module_279 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_278);
auto x_main_module_280 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_384,
x_main_module_88);
auto x_main_module_386 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_385,
x_main_module_87,
x_main_module_86,
x_main_module_85,
x_main_module_84);
auto x_main_module_387 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_386, x_main_module_378);
auto x_main_module_388 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_387);
auto x_main_module_389 = mmain->add_instruction(
x_main_module_279,
x_main_module_97);
auto x_main_module_281 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,1024,14,14]}"), x_main_module_98);
auto x_main_module_282 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_280, x_main_module_281);
auto x_main_module_283 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_282, x_main_module_271);
auto x_main_module_284 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_283);
auto x_main_module_285 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_388,
x_main_module_83);
auto x_main_module_390 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_389,
x_main_module_82,
x_main_module_81,
x_main_module_80,
x_main_module_79);
auto x_main_module_391 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_390);
auto x_main_module_392 = mmain->add_instruction(
x_main_module_284,
x_main_module_99);
auto x_main_module_286 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,256,14,14]}"), x_main_module_100);
auto x_main_module_287 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_285, x_main_module_286);
auto x_main_module_288 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_287);
auto x_main_module_289 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_391,
x_main_module_78);
auto x_main_module_393 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_392,
x_main_module_77,
x_main_module_76,
x_main_module_75,
x_main_module_74);
auto x_main_module_394 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_393);
auto x_main_module_395 = mmain->add_instruction(
x_main_module_288,
x_main_module_101);
auto x_main_module_290 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,256,14,14]}"), x_main_module_102);
auto x_main_module_291 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_289, x_main_module_290);
auto x_main_module_292 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_291);
auto x_main_module_293 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_394,
x_main_module_73);
auto x_main_module_396 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_395,
x_main_module_72,
x_main_module_71,
x_main_module_70,
x_main_module_69);
auto x_main_module_397 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_396, x_main_module_388);
auto x_main_module_398 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_397);
auto x_main_module_399 = mmain->add_instruction(
x_main_module_292,
x_main_module_103);
auto x_main_module_294 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,1024,14,14]}"), x_main_module_104);
auto x_main_module_295 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_293, x_main_module_294);
auto x_main_module_296 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_295, x_main_module_284);
auto x_main_module_297 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_296);
auto x_main_module_298 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_398,
x_main_module_68);
auto x_main_module_400 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_399,
x_main_module_67,
x_main_module_66,
x_main_module_65,
x_main_module_64);
auto x_main_module_401 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_400);
auto x_main_module_402 = mmain->add_instruction(
x_main_module_297,
x_main_module_105);
auto x_main_module_299 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,256,14,14]}"), x_main_module_106);
auto x_main_module_300 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_298, x_main_module_299);
auto x_main_module_301 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_300);
auto x_main_module_302 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_401,
x_main_module_63);
auto x_main_module_403 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_402,
x_main_module_62,
x_main_module_61,
x_main_module_60,
x_main_module_59);
auto x_main_module_404 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_403);
auto x_main_module_405 = mmain->add_instruction(
x_main_module_301,
x_main_module_107);
auto x_main_module_303 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,256,14,14]}"), x_main_module_108);
auto x_main_module_304 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_302, x_main_module_303);
auto x_main_module_305 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_304);
auto x_main_module_306 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_404,
x_main_module_58);
auto x_main_module_406 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_405,
x_main_module_57,
x_main_module_56,
x_main_module_55,
x_main_module_54);
auto x_main_module_407 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_406, x_main_module_398);
auto x_main_module_408 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_407);
auto x_main_module_409 = mmain->add_instruction(
x_main_module_305,
x_main_module_109);
auto x_main_module_307 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,1024,14,14]}"), x_main_module_110);
auto x_main_module_308 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_306, x_main_module_307);
auto x_main_module_309 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_308, x_main_module_297);
auto x_main_module_310 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_309);
auto x_main_module_311 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[2,"
"2],use_dynamic_same_auto_pad:0}"),
x_main_module_310,
x_main_module_111);
auto x_main_module_312 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,2048,7,7]}"), x_main_module_112);
auto x_main_module_313 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_311, x_main_module_312);
auto x_main_module_314 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_408,
x_main_module_53);
auto x_main_module_410 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_409,
x_main_module_52,
x_main_module_51,
x_main_module_50,
x_main_module_49);
auto x_main_module_411 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_410);
auto x_main_module_412 = mmain->add_instruction(
x_main_module_310,
x_main_module_113);
auto x_main_module_315 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,512,14,14]}"), x_main_module_3);
auto x_main_module_316 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_314, x_main_module_315);
auto x_main_module_317 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_316);
auto x_main_module_318 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[2,"
"2],use_dynamic_same_auto_pad:0}"),
x_main_module_411,
x_main_module_48);
auto x_main_module_413 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_412,
x_main_module_47,
x_main_module_46,
x_main_module_45,
x_main_module_44);
auto x_main_module_414 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_413);
auto x_main_module_415 = mmain->add_instruction(
x_main_module_317,
x_main_module_4);
auto x_main_module_319 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,512,7,7]}"), x_main_module_5);
auto x_main_module_320 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_318, x_main_module_319);
auto x_main_module_321 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_320);
auto x_main_module_322 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_414,
x_main_module_43);
auto x_main_module_416 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_415,
x_main_module_42,
x_main_module_41,
x_main_module_40,
x_main_module_39);
auto x_main_module_417 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[2,"
"2],use_dynamic_same_auto_pad:0}"),
x_main_module_408,
x_main_module_38);
auto x_main_module_418 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_417,
x_main_module_37,
x_main_module_36,
x_main_module_35,
x_main_module_34);
auto x_main_module_419 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_416, x_main_module_418);
auto x_main_module_420 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_419);
auto x_main_module_421 = mmain->add_instruction(
x_main_module_321,
x_main_module_6);
auto x_main_module_323 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,2048,7,7]}"), x_main_module_8);
auto x_main_module_324 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_322, x_main_module_323);
auto x_main_module_325 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_324, x_main_module_313);
auto x_main_module_326 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_325);
auto x_main_module_327 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_420,
x_main_module_33);
auto x_main_module_422 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_421,
x_main_module_32,
x_main_module_31,
x_main_module_30,
x_main_module_29);
auto x_main_module_423 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_422);
auto x_main_module_424 = mmain->add_instruction(
x_main_module_326,
x_main_module_10);
auto x_main_module_328 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,512,7,7]}"), x_main_module_12);
auto x_main_module_329 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_327, x_main_module_328);
auto x_main_module_330 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_329);
auto x_main_module_331 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_423,
x_main_module_28);
auto x_main_module_425 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_424,
x_main_module_27,
x_main_module_26,
x_main_module_25,
x_main_module_24);
auto x_main_module_426 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_425);
auto x_main_module_427 = mmain->add_instruction(
x_main_module_330,
x_main_module_14);
auto x_main_module_332 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,512,7,7]}"), x_main_module_16);
auto x_main_module_333 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_331, x_main_module_332);
auto x_main_module_334 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_333);
auto x_main_module_335 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_426,
x_main_module_23);
auto x_main_module_428 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_427,
x_main_module_22,
x_main_module_21,
x_main_module_20,
x_main_module_19);
auto x_main_module_429 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_428, x_main_module_420);
auto x_main_module_430 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_429);
auto x_main_module_431 = mmain->add_instruction(
x_main_module_334,
x_main_module_18);
auto x_main_module_336 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,2048,7,7]}"), x_main_module_20);
auto x_main_module_337 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_335, x_main_module_336);
auto x_main_module_338 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_337, x_main_module_326);
auto x_main_module_339 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_338);
auto x_main_module_340 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_430,
x_main_module_18);
auto x_main_module_432 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_431,
x_main_module_17,
x_main_module_16,
x_main_module_15,
x_main_module_14);
auto x_main_module_433 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_432);
auto x_main_module_434 = mmain->add_instruction(
x_main_module_339,
x_main_module_22);
auto x_main_module_341 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,512,7,7]}"), x_main_module_24);
auto x_main_module_342 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_340, x_main_module_341);
auto x_main_module_343 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_342);
auto x_main_module_344 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_433,
x_main_module_13);
auto x_main_module_435 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_434,
x_main_module_12,
x_main_module_11,
x_main_module_10,
x_main_module_9);
auto x_main_module_436 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_435);
auto x_main_module_437 = mmain->add_instruction(
x_main_module_343,
x_main_module_26);
auto x_main_module_345 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,512,7,7]}"), x_main_module_28);
auto x_main_module_346 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_344, x_main_module_345);
auto x_main_module_347 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_346);
auto x_main_module_348 = mmain->add_instruction(
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_436,
x_main_module_8);
auto x_main_module_438 = mmain->add_instruction(
migraphx::make_json_op(
"batch_norm_inference",
"{bn_mode:1,epsilon:9.999999747378752e-06,momentum:0.8999999761581421}"),
x_main_module_437,
x_main_module_7,
x_main_module_6,
x_main_module_5,
x_main_module_4);
auto x_main_module_439 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_438, x_main_module_430);
auto x_main_module_440 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_439);
auto x_main_module_441 = mmain->add_instruction(
migraphx::make_json_op(
"pooling",
"{ceil_mode:0,lengths:[7,7],lp_order:2,mode:0,padding:[0,0,0,0],stride:[1,1]}"),
x_main_module_440);
auto x_main_module_442 =
mmain->add_instruction(migraphx::make_json_op("flatten", "{axis:1}"), x_main_module_441);
auto x_main_module_443 = mmain->add_instruction(
migraphx::make_json_op("transpose", "{permutation:[1,0]}"), x_main_module_3);
auto x_main_module_444 =
mmain->add_instruction(migraphx::make_op("dot"), x_main_module_442, x_main_module_443);
auto x_main_module_445 = mmain->add_instruction(
migraphx::make_json_op("multibroadcast", "{out_lens:[1,1000]}"), x_main_module_2);
auto x_main_module_446 = mmain->add_instruction(
migraphx::make_json_op("multibroadcast", "{out_lens:[1,1000]}"), x_main_module_0);
auto x_main_module_447 =
mmain->add_instruction(migraphx::make_op("mul"), x_main_module_445, x_main_module_446);
auto x_main_module_448 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_444, x_main_module_447);
mmain->add_return({x_main_module_448});
x_main_module_347,
x_main_module_30);
auto x_main_module_349 = mmain->add_instruction(
migraphx::make_json_op("broadcast", "{axis:1,out_lens:[1,2048,7,7]}"), x_main_module_32);
auto x_main_module_350 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_348, x_main_module_349);
auto x_main_module_351 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_350, x_main_module_339);
auto x_main_module_352 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_351);
auto x_main_module_353 = mmain->add_instruction(
migraphx::make_json_op("reduce_mean", "{axes:[2,3]}"), x_main_module_352);
auto x_main_module_354 = mmain->add_instruction(
migraphx::make_json_op("reshape", "{dims:[-1,1,1,2048]}"), x_main_module_353);
auto x_main_module_355 = mmain->add_instruction(
migraphx::make_json_op("squeeze", "{axes:[1,2]}"), x_main_module_354);
auto x_main_module_356 =
mmain->add_instruction(migraphx::make_op("dot"), x_main_module_355, x_main_module_92);
auto x_main_module_357 = mmain->add_instruction(
migraphx::make_json_op("multibroadcast", "{out_lens:[1,1001]}"), x_main_module_90);
auto x_main_module_358 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_356, x_main_module_357);
auto x_main_module_359 =
mmain->add_instruction(migraphx::make_op("identity"), x_main_module_358);
auto x_main_module_360 =
mmain->add_instruction(migraphx::make_json_op("softmax", "{axis:1}"), x_main_module_359);
auto x_main_module_361 =
mmain->add_instruction(migraphx::make_op("identity"), x_main_module_360);
auto x_main_module_362 =
mmain->add_instruction(migraphx::make_json_op("argmax", "{axis:1}"), x_main_module_359);
auto x_main_module_363 =
mmain->add_instruction(migraphx::make_json_op("squeeze", "{axes:[1]}"), x_main_module_362);
auto x_main_module_364 =
mmain->add_instruction(migraphx::make_op("identity"), x_main_module_363);
mmain->add_return({x_main_module_364, x_main_module_361});
return p;
}
......
src/include/migraphx/op/batch_norm_inference.hpp deleted 100644 → 0
View file @ 4f3cc417
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2022 Advanced Micro Devices, Inc. All rights reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
#ifndef MIGRAPHX_GUARD_OPERATORS_BATCH_NORM_HPP
#define MIGRAPHX_GUARD_OPERATORS_BATCH_NORM_HPP
#include <migraphx/check_shapes.hpp>
#include <migraphx/config.hpp>
#include <cmath>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace op {
struct batch_norm_inference
{
float epsilon = 1.0e-6f;
float momentum = 0.9f;
std::string name() const { return "batch_norm_inference"; }
enum bn_infer_mode_t
{
per_activation,
spatial,
};
bn_infer_mode_t bn_mode = spatial;
template <class Self, class F>
static auto reflect(Self& self, F f)
{
return pack(
f(self.epsilon, "epsilon"), f(self.momentum, "momentum"), f(self.bn_mode, "bn_mode"));
}
shape compute_shape(std::vector<shape> inputs) const
{
check_shapes{inputs, *this}.has(5);
check_shapes{inputs.data(), inputs.data() + 1, *this}.same_ndims();
check_shapes{inputs.data() + 1, inputs.data() + inputs.size(), *this}.same_shape();
return inputs.front();
}
};
} // namespace op
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
#endif
src/include/migraphx/operators.hpp
View file @ be309bfb
......@@ -35,7 +35,6 @@
#include <migraphx/op/as_shape.hpp>
#include <migraphx/op/atan.hpp>
#include <migraphx/op/atanh.hpp>
#include <migraphx/op/batch_norm_inference.hpp>
#include <migraphx/op/binary.hpp>
#include <migraphx/op/broadcast.hpp>
#include <migraphx/op/capture.hpp>
......
src/include/migraphx/rewrite_batchnorm.hpp deleted 100644 → 0
View file @ 4f3cc417
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2022 Advanced Micro Devices, Inc. All rights reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
#ifndef MIGRAPHX_GUARD_RTGLIB_FWD_CONV_BATCHNORM_REWRITE_HPP
#define MIGRAPHX_GUARD_RTGLIB_FWD_CONV_BATCHNORM_REWRITE_HPP
#include <string>
#include <migraphx/instruction_ref.hpp>
#include <migraphx/config.hpp>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
struct module;
/**
* Rewrite batchnorm to a multiply and add.
*/
struct rewrite_batchnorm
{
std::string name() const { return "rewrite_batchnorm"; }
void apply(module& m) const;
};
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
#endif
src/rewrite_batchnorm.cpp deleted 100644 → 0
View file @ 4f3cc417
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2022 Advanced Micro Devices, Inc. All rights reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
#include <migraphx/rewrite_batchnorm.hpp>
#include <migraphx/program.hpp>
#include <migraphx/instruction.hpp>
#include <migraphx/op/batch_norm_inference.hpp>
#include <migraphx/op/broadcast.hpp>
#include <migraphx/op/add.hpp>
#include <migraphx/op/mul.hpp>
#include <migraphx/iterator_for.hpp>
#include <migraphx/ranges.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/dfor.hpp>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
void rewrite_batchnorm::apply(module& m) const
{
for(auto ins : iterator_for(m))
{
if(ins->name() != "batch_norm_inference")
continue;
// Get scale, bias, mean, variance from inputs
auto gamma = ins->inputs()[1]->eval();
auto bias = ins->inputs()[2]->eval();
auto mean = ins->inputs()[3]->eval();
auto variance = ins->inputs()[4]->eval();
if(any_of({gamma, bias, mean, variance}, [](auto arg) { return arg.empty(); }))
continue;
std::vector<std::size_t> lens = ins->inputs()[1]->get_shape().lens();
shape s{ins->get_shape().type(), lens};
// Get epsilon
auto bn_op = any_cast<op::batch_norm_inference>(ins->get_operator());
auto epsilon = bn_op.epsilon;
argument a{s};
argument b{s};
visit_all(gamma, bias, mean, variance, a, b)(
[&](auto gamma2, auto bias2, auto mean2, auto variance2, auto a2, auto b2) {
dfor(a.get_shape().elements())(
[&](std::size_t c) { a2[c] = gamma2[c] / std::sqrt(variance2[c] + epsilon); });
dfor(b.get_shape().elements())([&](std::size_t c) {
b2[c] = bias2[c] - (gamma2[c] * mean2[c] / std::sqrt(variance2[c] + epsilon));
});
});
auto broadcast = op::broadcast{1, ins->get_shape().lens()};
auto a_ins = m.add_literal({a.get_shape(), a.data()});
auto a_broadcast = m.insert_instruction(ins, broadcast, a_ins);
auto mul = m.insert_instruction(ins, make_op("mul"), ins->inputs().front(), a_broadcast);
auto b_ins = m.add_literal({b.get_shape(), b.data()});
auto b_broadcast = m.insert_instruction(ins, broadcast, b_ins);
auto add = m.insert_instruction(ins, make_op("add"), mul, b_broadcast);
m.replace_instruction(ins, add);
}
}
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
src/targets/cpu/lowering.cpp
View file @ be309bfb
......@@ -26,7 +26,6 @@
#include <migraphx/instruction.hpp>
#include <migraphx/dfor.hpp>
#include <migraphx/op/identity.hpp>
#include <migraphx/op/batch_norm_inference.hpp>
#include <migraphx/op/convolution.hpp>
#include <migraphx/op/deconvolution.hpp>
#include <migraphx/op/quant_convolution.hpp>
......
src/targets/cpu/target.cpp
View file @ be309bfb
......@@ -37,7 +37,6 @@
#include <migraphx/propagate_constant.hpp>
#include <migraphx/register_target.hpp>
#include <migraphx/replace_allocate.hpp>
#include <migraphx/rewrite_batchnorm.hpp>
#include <migraphx/rewrite_pooling.hpp>
#include <migraphx/rewrite_quantization.hpp>
#include <migraphx/rewrite_rnn.hpp>
......@@ -78,8 +77,6 @@ std::vector<pass> target::get_passes(migraphx::context& gctx, const compile_opti
eliminate_identity{},
eliminate_pad{},
dead_code_elimination{},
rewrite_batchnorm{},
dead_code_elimination{},
rewrite_rnn{},
dead_code_elimination{},
eliminate_common_subexpression{},
......
src/targets/gpu/CMakeLists.txt 100755 → 100644
View file @ be309bfb
......@@ -78,7 +78,6 @@ add_library(migraphx_gpu
allocation_model.cpp
argmax.cpp
argmin.cpp
batch_norm_inference.cpp
code_object_op.cpp
compile_ops.cpp
compile_gen.cpp
......@@ -146,7 +145,6 @@ register_migraphx_gpu_ops(hip_
)
register_migraphx_gpu_ops(miopen_
abs
batch_norm_inference
contiguous
convolution
deconvolution
......
src/targets/gpu/batch_norm_inference.cpp deleted 100644 → 0
View file @ 4f3cc417
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2022 Advanced Micro Devices, Inc. All rights reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
#include <migraphx/gpu/batch_norm_inference.hpp>
#include <migraphx/gpu/context.hpp>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace gpu {
shape miopen_batch_norm_inference::compute_shape(const std::vector<shape>& inputs) const
{
check_shapes{inputs, *this}.has(6);
check_shapes{inputs.data(), inputs.data() + 1, *this}.same_ndims().max_ndims(5);
return op.compute_shape({inputs.at(0), inputs.at(1), inputs.at(2), inputs.at(3), inputs.at(4)});
}
inline shape reshape_to_2d(const shape& input)
{
auto dims = input.lens();
if(dims.size() >= 4)
return input;
std::vector<size_t> new_dims(dims.begin(), dims.end());
std::size_t num = 4 - dims.size();
new_dims.insert(new_dims.end(), num, 1);
return {input.type(), new_dims};
}
argument miopen_batch_norm_inference::compute(context& ctx,
const shape& output_shape,
const std::vector<argument>& args) const
{
shape x_shape = args[0].get_shape();
shape y_shape = output_shape;
shape bn_shape = args[3].get_shape();
auto x_desc = make_tensor(reshape_to_2d(x_shape));
auto y_desc = make_tensor(reshape_to_2d(y_shape));
auto bn_desc = make_tensor(reshape_to_2d(bn_shape));
float alpha = 1.0;
float beta = 0.0f;
miopenBatchNormalizationForwardInference(ctx.get_stream().get_miopen(),
miopenBatchNormMode_t(op.bn_mode),
&alpha,
&beta,
x_desc.get(),
args[0].implicit(),
y_desc.get(),
args[5].implicit(),
bn_desc.get(),
args[1].implicit(),
args[2].implicit(),
args[3].implicit(),
args[4].implicit(),
op.epsilon);
return args[5];
}
} // namespace gpu
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
src/targets/gpu/include/migraphx/gpu/batch_norm_inference.hpp deleted 100644 → 0
View file @ 4f3cc417
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2022 Advanced Micro Devices, Inc. All rights reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
#ifndef MIGRAPHX_GUARD_RTGLIB_BATCHNORM_HPP
#define MIGRAPHX_GUARD_RTGLIB_BATCHNORM_HPP
#include <migraphx/argument.hpp>
#include <migraphx/op/batch_norm_inference.hpp>
#include <migraphx/reflect.hpp>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace gpu {
struct context;
struct miopen_batch_norm_inference
{
op::batch_norm_inference op;
template <class Self, class F>
static auto reflect(Self& self, F f)
{
return migraphx::reflect(self.op, f);
}
std::string name() const { return "gpu::batch_norm_inference"; }
shape compute_shape(const std::vector<shape>& inputs) const;
argument
compute(context& ctx, const shape& output_shape, const std::vector<argument>& args) const;
std::ptrdiff_t output_alias(const std::vector<shape>& shapes) const
{
return shapes.size() - 1;
}
};
} // namespace gpu
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
#endif
src/targets/gpu/lowering.cpp
View file @ be309bfb
......@@ -37,7 +37,6 @@
#include <migraphx/op/quant_convolution.hpp>
#include <migraphx/op/quant_dot.hpp>
#include <migraphx/gpu/batch_norm_inference.hpp>
#include <migraphx/gpu/context.hpp>
#include <migraphx/gpu/convolution.hpp>
#include <migraphx/gpu/deconvolution.hpp>
......@@ -115,7 +114,6 @@ struct miopen_apply
add_extend_op("scatter_none");
add_extend_op("topk");
add_batch_norm_inference_op();
add_convolution_op();
add_deconvolution_op();
add_gemm_op<op::dot>("dot");
......@@ -336,43 +334,6 @@ struct miopen_apply
});
}
void add_batch_norm_inference_op()
{
apply_map.emplace("batch_norm_inference", [=](instruction_ref ins) {
auto&& op = any_cast<op::batch_norm_inference>(ins->get_operator());
auto output = insert_allocation(ins, ins->get_shape());
shape old_shape = ins->inputs().at(1)->get_shape();
auto input = ins->inputs()[0];
auto input_lens = input->get_shape().lens();
std::vector<int64_t> rsp_lens(input_lens.size(), 1);
// for per_activation case, also need to reshape input
if(op.bn_mode == op::batch_norm_inference::per_activation)
{
std::copy(input_lens.begin() + 1, input_lens.end(), rsp_lens.begin() + 1);
}
else
{
rsp_lens[1] = static_cast<int64_t>(old_shape.elements());
}
auto reshape_op = op::reshape{rsp_lens};
std::vector<instruction_ref> reshapes;
std::transform(ins->inputs().begin() + 1,
ins->inputs().end(),
std::back_inserter(reshapes),
[&](auto i) { return mod->insert_instruction(ins, reshape_op, i); });
return mod->replace_instruction(ins,
miopen_batch_norm_inference{op},
input,
reshapes[0],
reshapes[1],
reshapes[2],
reshapes[3],
output);
});
}
// use 0 - input to represent neg
void add_neg_op()
{
......
src/targets/gpu/target.cpp
View file @ be309bfb
......@@ -41,7 +41,6 @@
#include <migraphx/propagate_constant.hpp>
#include <migraphx/register_target.hpp>
#include <migraphx/replace_allocate.hpp>
#include <migraphx/rewrite_batchnorm.hpp>
#include <migraphx/rewrite_gelu.hpp>
#include <migraphx/rewrite_pooling.hpp>
#include <migraphx/rewrite_quantization.hpp>
......@@ -110,8 +109,6 @@ std::vector<pass> target::get_passes(migraphx::context& gctx, const compile_opti
dead_code_elimination{},
insert_pad{},
dead_code_elimination{},
rewrite_batchnorm{},
dead_code_elimination{},
rewrite_rnn{},
dead_code_elimination{},
inline_module{},
......
src/targets/ref/lowering.cpp
View file @ be309bfb
......@@ -26,7 +26,6 @@
#include <migraphx/instruction.hpp>
#include <migraphx/dfor.hpp>
#include <migraphx/op/identity.hpp>
#include <migraphx/op/batch_norm_inference.hpp>
#include <migraphx/op/convolution.hpp>
#include <migraphx/op/deconvolution.hpp>
#include <migraphx/op/quant_convolution.hpp>
......@@ -75,84 +74,6 @@ typename std::conditional_t<std::is_integral<T>{}, std::make_signed<T>, std::ena
return x;
}
//
// ref implemenataion of batch norm for inference
//
// inputs are:
// args[0] -> input data buffer
// args[1] -> mini batch mean
// args[2] -> mini batch variance
// args[3] -> gamma
// args[4] -> bias
//
// The equation to compute batch norm for inference is:
//
// output[i] = bias + gamma * (input[i] + mean) / sqrt(variance + epsilon)
//
// the input data format should be nchw
//
struct ref_batch_norm_inference
{
op::batch_norm_inference op;
template <class Self, class F>
static auto reflect(Self& self, F f)
{
return migraphx::reflect(self.op, f);
}
std::string name() const { return "ref::batch_norm_inference"; }
shape compute_shape(const std::vector<shape>& inputs) const { return op.compute_shape(inputs); }
argument compute(context&, const shape& output_shape, std::vector<argument> args) const
{
argument output{output_shape};
double epsilon = op.epsilon;
auto input = args[0];
auto arg_gamma = args[1];
auto arg_bias = args[2];
auto mini_batch_mean = args[3];
auto mini_batch_variance = args[4];
if(op.bn_mode == op::batch_norm_inference::spatial)
{
visit_all(output, input, mini_batch_mean, mini_batch_variance, arg_gamma, arg_bias)(
[&](auto result, auto buffer, auto mean, auto variance, auto gamma, auto bias) {
par_for(output_shape.elements(), [&](auto i) {
auto idx = output_shape.multi(i);
auto c = idx[1];
assert((variance[c] + epsilon) > 0);
result[i] =
gamma[c] * (buffer[i] - mean[c]) / std::sqrt(variance[c] + epsilon) +
bias[c];
});
});
}
if(op.bn_mode == op::batch_norm_inference::per_activation)
{
visit_all(output, input, mini_batch_mean, mini_batch_variance, arg_gamma, arg_bias)(
[&](auto result, auto buffer, auto mean, auto variance, auto gamma, auto bias) {
par_for(output_shape.elements(), [&](auto i) {
auto idx = output_shape.multi(i);
idx[0] = 0;
auto index = output_shape.index(idx);
assert((variance[index] + epsilon) > 0);
result[i] = gamma[index] * (buffer[i] - mean[index]) /
std::sqrt(variance[index] + epsilon) +
bias[index];
});
});
}
return output;
}
};
MIGRAPHX_REGISTER_OP(ref_batch_norm_inference)
struct ref_lrn
{
op::lrn op;
......@@ -731,8 +652,6 @@ struct ref_apply
void init()
{
apply_map["batch_norm_inference"] =
extend_op<ref_batch_norm_inference, op::batch_norm_inference>();
apply_map["convolution"] = extend_op<ref_convolution<op::convolution>, op::convolution>();
apply_map["dot"] = extend_op<ref_gemm, op::dot>();
apply_map["quant_dot"] = extend_op<ref_quant_gemm, op::quant_dot>();
......
src/tf/parse_batchnorm.cpp
View file @ be309bfb
......@@ -23,6 +23,7 @@
*/
#include <migraphx/tf/op_parser.hpp>
#include <migraphx/tf/tf_parser.hpp>
#include <migraphx/instruction.hpp>
#include <migraphx/ranges.hpp>
#include <migraphx/make_op.hpp>
......@@ -38,16 +39,37 @@ struct parse_batchnorm : op_parser<parse_batchnorm>
instruction_ref parse(const op_desc& /*opd*/,
const tf_parser& /*parser*/,
tf_parser::node_info info,
const std::vector<instruction_ref>& args) const
std::vector<instruction_ref> args) const
{
float epsilon = 1e-5f;
float momentum = 0.9f;
// different default epsilon than from ONNX
float epsilon = 1e-4f;
if(contains(info.attributes, "epsilon"))
{
epsilon = info.attributes.at("epsilon").f();
}
auto op = make_op("batch_norm_inference", {{"epsilon", epsilon}, {"momentum", momentum}});
return info.add_instruction(op, args);
auto x_lens = args[0]->get_shape().lens();
auto x_type = args[0]->get_shape().type();
// unsqueeze tensors of shape (C) to broadcast correctly
auto rt = info.add_literal(migraphx::literal{migraphx::shape{x_type}, {0.5}});
auto eps = info.add_literal(migraphx::literal{migraphx::shape{x_type}, {epsilon}});
auto scale_unsqueeze =
info.add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1, 2}}}), args[1]);
auto bias_unsqueeze =
info.add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1, 2}}}), args[2]);
auto mean_unsqueeze =
info.add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1, 2}}}), args[3]);
auto var_unsqueeze =
info.add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1, 2}}}), args[4]);
auto numer = info.add_broadcastable_binary_op("sub", args[0], mean_unsqueeze);
auto var_eps = info.add_broadcastable_binary_op("add", var_unsqueeze, eps);
auto denom = info.add_broadcastable_binary_op("pow", var_eps, rt);
auto div0 = info.add_broadcastable_binary_op("div", numer, denom);
auto r0 = info.add_broadcastable_binary_op("mul", div0, scale_unsqueeze);
return info.add_broadcastable_binary_op("add", r0, bias_unsqueeze);
}
};
......
test/op_shape_test.cpp
View file @ be309bfb
......@@ -81,16 +81,6 @@ void throws_shape(const migraphx::shape&, Ts...)
"An expected shape should not be passed to throws_shape function");
}
TEST_CASE(batch_norm_inference_shape)
{
const size_t channels = 3;
migraphx::shape s{migraphx::shape::float_type, {4, channels, 3, 3}};
migraphx::shape vars{migraphx::shape::float_type, {channels}};
expect_shape(s, migraphx::make_op("batch_norm_inference"), s, vars, vars, vars, vars);
throws_shape(migraphx::make_op("batch_norm_inference"), s);
throws_shape(migraphx::make_op("batch_norm_inference"), s, vars, vars, vars, vars, vars);
}
TEST_CASE(broadcast)
{
{
......
test/ref_ops_test.cpp
View file @ be309bfb
......@@ -28,7 +28,6 @@
#include <limits>
#include <migraphx/literal.hpp>
#include <migraphx/op/pooling.hpp>
#include <migraphx/op/batch_norm_inference.hpp>
#include <migraphx/instruction.hpp>
#include <migraphx/quantization.hpp>
#include <migraphx/ref/target.hpp>
......@@ -493,202 +492,6 @@ TEST_CASE(avgpool_test)
}
}
TEST_CASE(batch_norm_1d_per_actv_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape x_shape{migraphx::shape::float_type, {2, 2, 4}};
migraphx::shape c_shape(migraphx::shape::float_type, {2, 4});
std::vector<float> x_data = {0.3547,
0.477,
-1.8575,
0.663,
-0.1881,
-0.5113,
-0.1803,
-0.5915,
-0.1552,
0.9821,
1.827,
0.0558,
-0.0417,
-1.0693,
1.9948,
-0.7448};
std::vector<float> scale_data = {
-0.3181, -0.3885, 1.655, 0.0704, -0.2565, -1.1761, -0.3751, 0.1057};
std::vector<float> bias_data = {
-1.2118, -2.1156, 0.0046, -0.1341, -0.2724, -1.0718, 0.5535, -0.889};
std::vector<float> mean_data = {
0.0997, 0.7295, -0.0153, 0.3594, -0.1149, -0.7903, 0.9073, -0.6681};
std::vector<float> variance_data = {
0.13, 0.1276, 6.7878, 0.1843, 0.0107, 0.1556, 2.3655, 0.0117};
auto x = mm->add_literal(migraphx::literal{x_shape, x_data});
auto scale = mm->add_literal(migraphx::literal{c_shape, scale_data});
auto bias = mm->add_literal(migraphx::literal{c_shape, bias_data});
auto mean = mm->add_literal(migraphx::literal{c_shape, mean_data});
auto variance = mm->add_literal(migraphx::literal{c_shape, variance_data});
mm->add_instruction(
migraphx::make_op(
"batch_norm_inference",
{{"epsilon", 1e-6},
{"momentum", 0.9},
{"bn_mode", migraphx::to_value(migraphx::op::batch_norm_inference::per_activation)}}),
x,
scale,
bias,
mean,
variance);
p.compile(migraphx::ref::target{});
auto result = p.eval({}).back();
std::vector<float> result_vector;
result.visit([&](auto output) { result_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {-1.43677,
-1.84098,
-1.16563,
-0.0843136,
-0.090896,
-1.90364,
0.81875,
-0.81415,
-0.986915,
-2.39032,
1.17489,
-0.183886,
-0.453904,
-0.239955,
0.288275,
-0.963948};
EXPECT(migraphx::verify_range(result_vector, gold));
}
TEST_CASE(batch_norm_1d_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape x_shape{migraphx::shape::float_type, {2, 3, 4}};
migraphx::shape c_shape(migraphx::shape::float_type, {3});
std::vector<float> x_data = {0.7253, -0.6356, 0.4606, -0.8689, -1.1932, 0.4538,
-1.0018, -0.365, -0.214, -0.9553, -0.7672, 0.2331,
-0.8416, -0.6142, 0.0814, 0.2498, -0.6706, 1.4872,
0.5112, -1.5212, -0.9126, 0.0735, 1.085, -0.3417};
std::vector<float> scale_data = {1.1, 1.2, 1.3};
std::vector<float> bias_data = {0.1, 0.2, 0.3};
std::vector<float> mean_data = {-0.1804, -0.2875, -0.2249};
std::vector<float> variance_data = {2.7914, 7.3424, 3.3287};
auto x = mm->add_literal(migraphx::literal{x_shape, x_data});
auto scale = mm->add_literal(migraphx::literal{c_shape, scale_data});
auto bias = mm->add_literal(migraphx::literal{c_shape, bias_data});
auto mean = mm->add_literal(migraphx::literal{c_shape, mean_data});
auto variance = mm->add_literal(migraphx::literal{c_shape, variance_data});
mm->add_instruction(migraphx::make_op("batch_norm_inference", {{"epsilon", 1e-5}}),
x,
scale,
bias,
mean,
variance);
p.compile(migraphx::ref::target{});
auto result = p.eval({}).back();
std::vector<float> result_vector;
result.visit([&](auto output) { result_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {0.696301, -0.199697, 0.522026, -0.353299, -0.201094, 0.528289,
-0.116332, 0.165679, 0.307767, -0.220435, -0.086407, 0.62634,
-0.335325, -0.185608, 0.272366, 0.383238, 0.0303421, 0.985936,
0.553709, -0.346351, -0.190009, 0.51262, 1.23335, 0.216776};
EXPECT(migraphx::verify_range(result_vector, gold));
}
TEST_CASE(batch_norm_3d_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape x_shape{migraphx::shape::float_type, {2, 2, 2, 2, 2}};
migraphx::shape c_shape(migraphx::shape::float_type, {2});
std::vector<float> x_data = {-1.0833, 1.9681, 1.2075, -0.723, -0.4076, -0.8738, 0.5853,
-0.5357, 1.734, 0.7904, 0.6953, -0.468, -0.425, 0.6895,
0.0096, 0.4205, -0.1749, 1.2821, 2.1453, -0.8538, 1.0687,
0.0906, 0.0714, -1.3079, -0.6376, 1.3023, 0.945, 0.0927,
-0.7421, -1.4341, -1.0309, 1.5153};
std::vector<float> scale_data = {1.1, 1.3};
std::vector<float> bias_data = {0.1, 0.2};
std::vector<float> mean_data = {0.1537, 0.2161};
std::vector<float> variance_data = {18.0805, 13.3906};
auto x = mm->add_literal(migraphx::literal{x_shape, x_data});
auto scale = mm->add_literal(migraphx::literal{c_shape, scale_data});
auto bias = mm->add_literal(migraphx::literal{c_shape, bias_data});
auto mean = mm->add_literal(migraphx::literal{c_shape, mean_data});
auto variance = mm->add_literal(migraphx::literal{c_shape, variance_data});
mm->add_instruction(migraphx::make_op("batch_norm_inference"), x, scale, bias, mean, variance);
p.compile(migraphx::ref::target{});
auto result = p.eval({}).back();
std::vector<float> result_vector;
result.visit([&](auto output) { result_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {
-0.220005, 0.569376, 0.372612, -0.126798, -0.0452053, -0.165809, 0.211653, -0.0783441,
0.739245, 0.404024, 0.370239, -0.0430317, -0.0277556, 0.368179, 0.126639, 0.272615,
0.0149929, 0.391911, 0.615216, -0.160635, 0.336706, 0.0836764, 0.0787094, -0.278108,
-0.103283, 0.585881, 0.458947, 0.156161, -0.140408, -0.386246, -0.243006, 0.661551};
EXPECT(migraphx::verify_range(result_vector, gold));
}
TEST_CASE(batch_norm_inference_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
const size_t width = 2;
const size_t height = 2;
const size_t channels = 4;
const size_t batches = 2;
const float x_val = 8.0;
const float mean_val = 2.0;
const float variance_val = 4.0;
const float scale_val = 2.0f;
const float bias_val = 1.0f;
const float output_val = scale_val * (x_val - mean_val) / (std::sqrt(variance_val)) + bias_val;
migraphx::shape s{migraphx::shape::float_type, {batches, channels, height, width}};
migraphx::shape vars{migraphx::shape::float_type, {channels}};
std::vector<float> x_data(width * height * channels * batches);
std::vector<float> scale_data(channels);
std::vector<float> bias_data(channels);
std::vector<float> mean_data(channels);
std::vector<float> variance_data(channels);
std::fill(x_data.begin(), x_data.end(), x_val);
std::fill(mean_data.begin(), mean_data.end(), mean_val);
std::fill(variance_data.begin(), variance_data.end(), variance_val);
std::fill(scale_data.begin(), scale_data.end(), scale_val);
std::fill(bias_data.begin(), bias_data.end(), bias_val);
auto x = mm->add_literal(migraphx::literal{s, x_data});
auto scale = mm->add_literal(migraphx::literal{vars, scale_data});
auto bias = mm->add_literal(migraphx::literal{vars, bias_data});
auto mean = mm->add_literal(migraphx::literal{vars, mean_data});
auto variance = mm->add_literal(migraphx::literal{vars, variance_data});
mm->add_instruction(migraphx::make_op("batch_norm_inference"), x, scale, bias, mean, variance);
p.compile(migraphx::ref::target{});
auto result = p.eval({}).back();
std::vector<float> result_vector(width * height * channels * batches);
std::vector<float> gold(width * height * channels * batches);
std::fill(gold.begin(), gold.end(), output_val);
result.visit([&](auto output) { result_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify_range(result_vector, gold));
}
TEST_CASE(broadcast_test)
{
migraphx::program p;
......
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