Unverified Commit 66d50268 authored by Paul Fultz II's avatar Paul Fultz II Committed by GitHub
Browse files

Merge branch 'develop' into jit-layernorm-merge

parents 389bc830 fa3c21fa
......@@ -53,6 +53,7 @@ jobs:
CXX=/opt/rocm/llvm/bin/clang++ CC=/opt/rocm/llvm/bin/clang cmake \
-DMIGRAPHX_ENABLE_GPU=On \
-DMIGRAPHX_ENABLE_CPU=On \
-DMIGRAPHX_ENABLE_FPGA=On \
-DROCM_ENABLE_GH_ANNOTATIONS=On \
-DCLANG_TIDY_DEPEND_ON_TARGET=Off \
-DCLANG_TIDY_CACHE=/data/tidy-cache \
......
......@@ -90,7 +90,6 @@ add_library(migraphx
shape.cpp
simplify_algebra.cpp
simplify_reshapes.cpp
target_assignments.cpp
tmp_dir.cpp
value.cpp
verify_args.cpp
......
......@@ -25,13 +25,10 @@
#include <migraphx/make_op.hpp>
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/json.hpp>
#include "models.hpp"
namespace migraphx {
namespace driver {
inline namespace MIGRAPHX_INLINE_NS {
migraphx::program alexnet(unsigned batch) // NOLINT(readability-function-size)
{
migraphx::program p;
......@@ -42,179 +39,153 @@ 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_input_1 = mmain->add_parameter(
"input.1", migraphx::shape{migraphx::shape::float_type, {batch, 3, 224, 224}});
auto x_0 = mmain->add_parameter(
"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, {4096, 4096}}, 3));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1000}}, 3));
auto x_main_module_5 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {4096}}, 4));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1000, 4096}}, 4));
auto x_main_module_6 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {4096, 9216}}, 5));
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}}, 6));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {4096, 4096}}, 6));
auto x_main_module_8 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1000, 4096}}, 7));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {4096}}, 7));
auto x_main_module_9 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1000}}, 8));
auto x_main_module_10 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 384, 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, {192, 64, 5, 5}}, 13));
auto x_main_module_15 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {192}}, 14));
auto x_main_module_16 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 256, 3, 3}}, 15));
auto x_main_module_17 = mmain->add_literal(
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, {64, 3, 11, 11}}, 17));
auto x_main_module_19 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 18));
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));
auto x_main_module_20 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[2,2,2,2],padding_mode:0,stride:[4,4]}")),
x_input_1,
x_main_module_18);
auto x_main_module_21 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,64,55,55]}")),
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[2,2,2,2],padding_mode:0,stride:[4,"
"4],use_dynamic_same_auto_pad:0}"),
x_0,
x_main_module_19);
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);
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_op(
migraphx::make_json_op(
"pooling",
migraphx::from_json_string(
"{ceil_mode:0,lengths:[3,3],lp_order:2,mode:1,padding:[0,0,0,0],stride:[2,2]}")),
"{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(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[2,2,2,2],padding_mode:0,stride:[1,1]}")),
migraphx::make_json_op("convolution",
"{dilation:[1,1],group:1,padding:[2,2,2,2],padding_mode:0,stride:[1,"
"1],use_dynamic_same_auto_pad:0}"),
x_main_module_24,
x_main_module_14);
x_main_module_17);
auto x_main_module_26 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,192,27,27]}")),
x_main_module_15);
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(
migraphx::make_op(
migraphx::make_json_op(
"pooling",
migraphx::from_json_string(
"{ceil_mode:0,lengths:[3,3],lp_order:2,mode:1,padding:[0,0,0,0],stride:[2,2]}")),
"{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(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,1]}")),
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_12);
x_main_module_15);
auto x_main_module_31 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,384,13,13]}")),
x_main_module_13);
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(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,1]}")),
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_33,
x_main_module_10);
x_main_module_13);
auto x_main_module_35 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,256,13,13]}")),
x_main_module_11);
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(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,1]}")),
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_37,
x_main_module_16);
x_main_module_11);
auto x_main_module_39 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,256,13,13]}")),
x_main_module_17);
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(
migraphx::make_op(
migraphx::make_json_op(
"pooling",
migraphx::from_json_string(
"{ceil_mode:0,lengths:[3,3],lp_order:2,mode:1,padding:[0,0,0,0],stride:[2,2]}")),
"{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_op("reshape", migraphx::from_json_string("{dims:[1,9216]}")),
x_main_module_42);
auto x_main_module_44 = mmain->add_instruction(
migraphx::make_op("transpose", migraphx::from_json_string("{permutation:[1,0]}")),
x_main_module_6);
auto x_main_module_45 =
mmain->add_instruction(migraphx::make_op("dot"), x_main_module_43, x_main_module_44);
auto x_main_module_46 = mmain->add_instruction(
migraphx::make_op("multibroadcast", migraphx::from_json_string("{out_lens:[1,4096]}")),
x_main_module_7);
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);
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_op("multibroadcast", migraphx::from_json_string("{out_lens:[1,4096]}")),
x_main_module_2);
auto x_main_module_48 =
mmain->add_instruction(migraphx::make_op("mul"), x_main_module_46, x_main_module_47);
migraphx::make_json_op("multibroadcast", "{out_lens:[1,4096]}"), x_main_module_8);
auto x_main_module_48 = 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("add"), x_main_module_45, x_main_module_48);
auto x_main_module_50 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_49);
auto x_main_module_51 = mmain->add_instruction(
migraphx::make_op("transpose", migraphx::from_json_string("{permutation:[1,0]}")),
x_main_module_4);
auto x_main_module_52 =
mmain->add_instruction(migraphx::make_op("dot"), x_main_module_50, x_main_module_51);
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_op("multibroadcast", migraphx::from_json_string("{out_lens:[1,4096]}")),
x_main_module_5);
auto x_main_module_54 = mmain->add_instruction(
migraphx::make_op("multibroadcast", migraphx::from_json_string("{out_lens:[1,4096]}")),
x_main_module_1);
auto x_main_module_55 =
mmain->add_instruction(migraphx::make_op("mul"), x_main_module_53, x_main_module_54);
auto x_main_module_56 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_52, x_main_module_55);
auto x_main_module_57 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_56);
auto x_main_module_58 = mmain->add_instruction(
migraphx::make_op("transpose", migraphx::from_json_string("{permutation:[1,0]}")),
x_main_module_8);
auto x_main_module_59 =
mmain->add_instruction(migraphx::make_op("dot"), x_main_module_57, x_main_module_58);
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);
auto x_main_module_56 = 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_op("multibroadcast", migraphx::from_json_string("{out_lens:[1,1000]}")),
x_main_module_9);
auto x_main_module_61 = mmain->add_instruction(
migraphx::make_op("multibroadcast", migraphx::from_json_string("{out_lens:[1,1000]}")),
x_main_module_0);
auto x_main_module_62 =
mmain->add_instruction(migraphx::make_op("mul"), x_main_module_60, x_main_module_61);
auto x_main_module_63 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_59, x_main_module_62);
mmain->add_return({x_main_module_63});
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);
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("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});
return p;
}
......
This source diff could not be displayed because it is too large. You can view the blob instead.
......@@ -25,1033 +25,1453 @@
#include <migraphx/make_op.hpp>
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/json.hpp>
#include "models.hpp"
namespace migraphx {
namespace driver {
inline namespace MIGRAPHX_INLINE_NS {
migraphx::program resnet50(unsigned batch) // NOLINT(readability-function-size)
{
migraphx::program p;
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_input_1 = mmain->add_parameter(
"input.1", migraphx::shape{migraphx::shape::float_type, {batch, 3, 224, 224}});
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, 2048}}, 1));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1000}}, 1));
auto x_main_module_3 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1000}}, 2));
auto x_main_module_4 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {2048}}, 3));
auto x_main_module_5 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {2048, 512, 1, 1}}, 4));
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)));
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, {512}}, 5));
auto x_main_module_7 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 512, 3, 3}}, 6));
auto x_main_module_8 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 7));
auto x_main_module_9 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 2048, 1, 1}}, 8));
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, {2048}}, 9));
auto x_main_module_11 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {2048, 512, 1, 1}}, 10));
auto x_main_module_12 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 11));
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::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, 2048, 1, 1}}, 14));
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));
auto x_main_module_16 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {2048}}, 15));
auto x_main_module_17 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {2048, 1024, 1, 1}}, 16));
auto x_main_module_18 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {2048}}, 17));
auto x_main_module_19 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {2048, 512, 1, 1}}, 18));
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_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)));
auto x_main_module_20 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 19));
auto x_main_module_21 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 512, 3, 3}}, 20));
auto x_main_module_22 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 21));
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)));
auto x_main_module_23 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 1024, 1, 1}}, 22));
auto x_main_module_24 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 23));
auto x_main_module_25 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {1024, 256, 1, 1}}, 24));
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)));
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, {256}}, 25));
auto x_main_module_27 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 256, 3, 3}}, 26));
auto x_main_module_28 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 27));
auto x_main_module_29 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 1024, 1, 1}}, 28));
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, {1024}}, 29));
auto x_main_module_31 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {1024, 256, 1, 1}}, 30));
auto x_main_module_32 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 31));
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, {256, 256, 3, 3}}, 32));
auto x_main_module_34 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 33));
auto x_main_module_35 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 1024, 1, 1}}, 34));
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)));
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, {1024}}, 35));
auto x_main_module_37 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {1024, 256, 1, 1}}, 36));
auto x_main_module_38 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 37));
auto x_main_module_39 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 256, 3, 3}}, 38));
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));
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, {256}}, 39));
auto x_main_module_41 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 1024, 1, 1}}, 40));
auto x_main_module_42 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 41));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {2048}}, 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, {1024, 256, 1, 1}}, 42));
auto x_main_module_44 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 43));
auto x_main_module_45 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 256, 3, 3}}, 44));
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)));
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, {256}}, 45));
auto x_main_module_47 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 1024, 1, 1}}, 46));
auto x_main_module_48 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 47));
auto x_main_module_49 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {1024, 256, 1, 1}}, 48));
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)));
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, {256}}, 49));
auto x_main_module_51 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 256, 3, 3}}, 50));
auto x_main_module_52 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 51));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 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, {256, 1024, 1, 1}}, 52));
auto x_main_module_54 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 53));
auto x_main_module_55 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {1024, 512, 1, 1}}, 54));
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)));
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_57 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {1024, 256, 1, 1}}, 56));
auto x_main_module_58 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 57));
auto x_main_module_59 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 256, 3, 3}}, 58));
auto x_main_module_57 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 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));
auto x_main_module_61 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 512, 1, 1}}, 60));
auto x_main_module_62 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 61));
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, {512, 128, 1, 1}}, 62));
auto x_main_module_64 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 63));
auto x_main_module_65 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {128, 128, 3, 3}}, 64));
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)));
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, {128}}, 65));
auto x_main_module_67 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {128, 512, 1, 1}}, 66));
auto x_main_module_68 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 67));
auto x_main_module_69 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 128, 1, 1}}, 68));
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_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, {128}}, 69));
auto x_main_module_71 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {128, 128, 3, 3}}, 70));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 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, {128}}, 71));
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, {128, 512, 1, 1}}, 72));
auto x_main_module_74 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 73));
auto x_main_module_75 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 128, 1, 1}}, 74));
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)));
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, {128}}, 75));
auto x_main_module_77 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {128, 128, 3, 3}}, 76));
auto x_main_module_78 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 77));
auto x_main_module_79 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {128, 512, 1, 1}}, 78));
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)));
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, {512}}, 79));
auto x_main_module_81 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {512, 256, 1, 1}}, 80));
auto x_main_module_82 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {512}}, 81));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 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, {512, 128, 1, 1}}, 82));
auto x_main_module_84 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {128}}, 83));
auto x_main_module_85 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {128, 128, 3, 3}}, 84));
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)));
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, {128}}, 85));
auto x_main_module_87 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {128, 256, 1, 1}}, 86));
auto x_main_module_88 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 87));
auto x_main_module_89 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 64, 1, 1}}, 88));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 85));
auto x_main_module_87 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 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_90 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 89));
auto x_main_module_91 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {64, 64, 3, 3}}, 90));
auto x_main_module_92 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 91));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 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)));
auto x_main_module_93 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {64, 256, 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, 64, 1, 1}}, 94));
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));
auto x_main_module_96 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 95));
auto x_main_module_97 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {64, 64, 3, 3}}, 96));
auto x_main_module_98 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 97));
auto x_main_module_99 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {64, 256, 1, 1}}, 98));
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_100 = mmain->add_literal(
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, 64, 1, 1}}, 100));
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));
auto x_main_module_102 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {256}}, 101));
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {1024}}, 101));
auto x_main_module_103 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {256, 64, 1, 1}}, 102));
auto x_main_module_104 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 103));
auto x_main_module_105 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {64, 64, 3, 3}}, 104));
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_106 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 105));
auto x_main_module_107 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {64, 64, 1, 1}}, 106));
auto x_main_module_108 = mmain->add_literal(
migraphx::generate_literal(migraphx::shape{migraphx::shape::float_type, {64}}, 107));
auto x_main_module_109 = mmain->add_literal(migraphx::generate_literal(
migraphx::shape{migraphx::shape::float_type, {64, 3, 7, 7}}, 108));
auto x_main_module_110 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[3,3,3,3],padding_mode:0,stride:[2,2]}")),
x_input_1,
x_main_module_109);
auto x_main_module_111 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,64,112,112]}")),
x_main_module_108);
auto x_main_module_112 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_110, x_main_module_111);
auto x_main_module_113 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_112);
auto x_main_module_114 = mmain->add_instruction(
migraphx::make_op(
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_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)));
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::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(
migraphx::make_json_op(
"pooling",
migraphx::from_json_string(
"{ceil_mode:0,lengths:[3,3],lp_order:2,mode:1,padding:[1,1,1,1],stride:[2,2]}")),
"{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(
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(
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(
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(
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(
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(
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(
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(
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(
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(
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(
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(
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(
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(
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(
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(
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(
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(
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(
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(
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(
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(
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(
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(
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(
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(
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(
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(
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(
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(
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_115 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_114,
x_main_module_107);
auto x_main_module_116 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,64,56,56]}")),
x_main_module_106);
auto x_main_module_117 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_115, x_main_module_116);
auto x_main_module_118 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_117);
auto x_main_module_119 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,1]}")),
x_main_module_118,
x_main_module_105);
auto x_main_module_120 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,64,56,56]}")),
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(
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_121 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_119, x_main_module_120);
auto x_main_module_122 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_121);
auto x_main_module_123 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_122,
auto x_main_module_374 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_373);
auto x_main_module_375 = 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_124 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,256,56,56]}")),
x_main_module_102);
auto x_main_module_125 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_123, x_main_module_124);
auto x_main_module_126 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_114,
x_main_module_101);
auto x_main_module_127 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,256,56,56]}")),
x_main_module_100);
auto x_main_module_128 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_126, x_main_module_127);
auto x_main_module_129 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_125, x_main_module_128);
auto x_main_module_130 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_129);
auto x_main_module_131 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_130,
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_132 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,64,56,56]}")),
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(
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_133 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_131, x_main_module_132);
auto x_main_module_134 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_133);
auto x_main_module_135 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,1]}")),
x_main_module_134,
x_main_module_97);
auto x_main_module_136 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,64,56,56]}")),
x_main_module_96);
auto x_main_module_137 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_135, x_main_module_136);
auto x_main_module_138 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_137);
auto x_main_module_139 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_138,
x_main_module_95);
auto x_main_module_140 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,256,56,56]}")),
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_141 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_139, x_main_module_140);
auto x_main_module_142 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_141, x_main_module_130);
auto x_main_module_143 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_142);
auto x_main_module_144 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_143,
auto x_main_module_381 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_380);
auto x_main_module_382 = 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_145 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,64,56,56]}")),
x_main_module_92);
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("relu"), x_main_module_146);
auto x_main_module_148 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,1]}")),
x_main_module_147,
x_main_module_91);
auto x_main_module_149 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,64,56,56]}")),
x_main_module_90);
auto x_main_module_150 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_148, x_main_module_149);
auto x_main_module_151 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_150);
auto x_main_module_152 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_151,
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_153 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,256,56,56]}")),
auto x_main_module_384 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_383);
auto x_main_module_385 = 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_154 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_152, x_main_module_153);
auto x_main_module_155 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_154, x_main_module_143);
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_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_156,
x_main_module_87);
auto x_main_module_158 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,128,56,56]}")),
x_main_module_86);
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("relu"), x_main_module_159);
auto x_main_module_161 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[2,2]}")),
x_main_module_160,
x_main_module_85);
auto x_main_module_162 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,128,28,28]}")),
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_163 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_161, x_main_module_162);
auto x_main_module_164 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_163);
auto x_main_module_165 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_164,
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(
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_166 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,512,28,28]}")),
x_main_module_82);
auto x_main_module_167 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_165, x_main_module_166);
auto x_main_module_168 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[2,2]}")),
x_main_module_156,
x_main_module_81);
auto x_main_module_169 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,512,28,28]}")),
x_main_module_80);
auto x_main_module_170 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_168, x_main_module_169);
auto x_main_module_171 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_167, x_main_module_170);
auto x_main_module_172 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_171);
auto x_main_module_173 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_172,
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_174 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,128,28,28]}")),
auto x_main_module_391 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_390);
auto x_main_module_392 = 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_175 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_173, x_main_module_174);
auto x_main_module_176 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_175);
auto x_main_module_177 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,1]}")),
x_main_module_176,
x_main_module_77);
auto x_main_module_178 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,128,28,28]}")),
x_main_module_76);
auto x_main_module_179 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_177, x_main_module_178);
auto x_main_module_180 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_179);
auto x_main_module_181 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_180,
x_main_module_75);
auto x_main_module_182 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,512,28,28]}")),
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_183 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_181, x_main_module_182);
auto x_main_module_184 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_183, x_main_module_172);
auto x_main_module_185 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_184);
auto x_main_module_186 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_185,
auto x_main_module_394 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_393);
auto x_main_module_395 = 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_187 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,128,28,28]}")),
x_main_module_72);
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("relu"), x_main_module_188);
auto x_main_module_190 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,1]}")),
x_main_module_189,
x_main_module_71);
auto x_main_module_191 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,128,28,28]}")),
x_main_module_70);
auto x_main_module_192 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_190, x_main_module_191);
auto x_main_module_193 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_192);
auto x_main_module_194 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_193,
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_195 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,512,28,28]}")),
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(
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_196 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_194, x_main_module_195);
auto x_main_module_197 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_196, x_main_module_185);
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_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_198,
x_main_module_67);
auto x_main_module_200 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,128,28,28]}")),
x_main_module_66);
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("relu"), x_main_module_201);
auto x_main_module_203 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,1]}")),
x_main_module_202,
x_main_module_65);
auto x_main_module_204 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,128,28,28]}")),
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_205 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_203, x_main_module_204);
auto x_main_module_206 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_205);
auto x_main_module_207 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_206,
auto x_main_module_401 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_400);
auto x_main_module_402 = 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_208 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,512,28,28]}")),
x_main_module_62);
auto x_main_module_209 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_207, x_main_module_208);
auto x_main_module_210 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_209, x_main_module_198);
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_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_211,
x_main_module_61);
auto x_main_module_213 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,256,28,28]}")),
x_main_module_60);
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("relu"), x_main_module_214);
auto x_main_module_216 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[2,2]}")),
x_main_module_215,
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_217 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,256,14,14]}")),
auto x_main_module_404 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_403);
auto x_main_module_405 = 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_218 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_216, x_main_module_217);
auto x_main_module_219 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_218);
auto x_main_module_220 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_219,
x_main_module_57);
auto x_main_module_221 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,1024,14,14]}")),
x_main_module_56);
auto x_main_module_222 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_220, x_main_module_221);
auto x_main_module_223 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[2,2]}")),
x_main_module_211,
x_main_module_55);
auto x_main_module_224 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,1024,14,14]}")),
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_225 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_223, x_main_module_224);
auto x_main_module_226 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_222, x_main_module_225);
auto x_main_module_227 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_226);
auto x_main_module_228 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_227,
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(
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_229 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,256,14,14]}")),
x_main_module_52);
auto x_main_module_230 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_228, x_main_module_229);
auto x_main_module_231 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_230);
auto x_main_module_232 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,1]}")),
x_main_module_231,
x_main_module_51);
auto x_main_module_233 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,256,14,14]}")),
x_main_module_50);
auto x_main_module_234 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_232, x_main_module_233);
auto x_main_module_235 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_234);
auto x_main_module_236 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_235,
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_237 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,1024,14,14]}")),
auto x_main_module_411 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_410);
auto x_main_module_412 = 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_238 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_236, x_main_module_237);
auto x_main_module_239 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_238, x_main_module_227);
auto x_main_module_240 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_239);
auto x_main_module_241 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_240,
x_main_module_47);
auto x_main_module_242 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,256,14,14]}")),
x_main_module_46);
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("relu"), x_main_module_243);
auto x_main_module_245 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,1]}")),
x_main_module_244,
x_main_module_45);
auto x_main_module_246 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,256,14,14]}")),
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_247 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_245, x_main_module_246);
auto x_main_module_248 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_247);
auto x_main_module_249 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_248,
auto x_main_module_414 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_413);
auto x_main_module_415 = 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_250 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,1024,14,14]}")),
x_main_module_42);
auto x_main_module_251 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_249, x_main_module_250);
auto x_main_module_252 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_251, x_main_module_240);
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_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_253,
x_main_module_41);
auto x_main_module_255 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,256,14,14]}")),
x_main_module_40);
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("relu"), x_main_module_256);
auto x_main_module_258 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,1]}")),
x_main_module_257,
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_259 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,256,14,14]}")),
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_260 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_258, x_main_module_259);
auto x_main_module_261 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_260);
auto x_main_module_262 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_261,
x_main_module_37);
auto x_main_module_263 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,1024,14,14]}")),
x_main_module_36);
auto x_main_module_264 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_262, x_main_module_263);
auto x_main_module_265 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_264, x_main_module_253);
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_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_266,
x_main_module_35);
auto x_main_module_268 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,256,14,14]}")),
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_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("relu"), x_main_module_269);
auto x_main_module_271 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,1]}")),
x_main_module_270,
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(
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_272 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,256,14,14]}")),
x_main_module_32);
auto x_main_module_273 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_271, x_main_module_272);
auto x_main_module_274 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_273);
auto x_main_module_275 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_274,
x_main_module_31);
auto x_main_module_276 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,1024,14,14]}")),
x_main_module_30);
auto x_main_module_277 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_275, x_main_module_276);
auto x_main_module_278 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_277, x_main_module_266);
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_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_279,
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_281 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,256,14,14]}")),
auto x_main_module_423 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_422);
auto x_main_module_424 = 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_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("relu"), x_main_module_282);
auto x_main_module_284 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,1]}")),
x_main_module_283,
x_main_module_27);
auto x_main_module_285 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,256,14,14]}")),
x_main_module_26);
auto x_main_module_286 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_284, x_main_module_285);
auto x_main_module_287 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_286);
auto x_main_module_288 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_287,
x_main_module_25);
auto x_main_module_289 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,1024,14,14]}")),
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_290 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_288, x_main_module_289);
auto x_main_module_291 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_290, x_main_module_279);
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_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_292,
auto x_main_module_426 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_425);
auto x_main_module_427 = 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_294 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,512,14,14]}")),
x_main_module_22);
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("relu"), x_main_module_295);
auto x_main_module_297 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[2,2]}")),
x_main_module_296,
x_main_module_21);
auto x_main_module_298 = mmain->add_instruction(
migraphx::make_op("broadcast", migraphx::from_json_string("{axis:1,out_lens:[1,512,7,7]}")),
x_main_module_20);
auto x_main_module_299 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_297, x_main_module_298);
auto x_main_module_300 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_299);
auto x_main_module_301 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_300,
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_302 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,2048,7,7]}")),
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(
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_303 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_301, x_main_module_302);
auto x_main_module_304 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[2,2]}")),
x_main_module_292,
x_main_module_17);
auto x_main_module_305 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,2048,7,7]}")),
x_main_module_16);
auto x_main_module_306 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_304, x_main_module_305);
auto x_main_module_307 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_303, x_main_module_306);
auto x_main_module_308 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_307);
auto x_main_module_309 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_308,
x_main_module_15);
auto x_main_module_310 = mmain->add_instruction(
migraphx::make_op("broadcast", migraphx::from_json_string("{axis:1,out_lens:[1,512,7,7]}")),
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_311 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_309, x_main_module_310);
auto x_main_module_312 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_311);
auto x_main_module_313 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,1]}")),
x_main_module_312,
auto x_main_module_433 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_432);
auto x_main_module_434 = 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_314 = mmain->add_instruction(
migraphx::make_op("broadcast", migraphx::from_json_string("{axis:1,out_lens:[1,512,7,7]}")),
x_main_module_12);
auto x_main_module_315 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_313, 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(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_316,
x_main_module_11);
auto x_main_module_318 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,2048,7,7]}")),
x_main_module_10);
auto x_main_module_319 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_317, x_main_module_318);
auto x_main_module_320 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_319, x_main_module_308);
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_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_321,
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_323 = mmain->add_instruction(
migraphx::make_op("broadcast", migraphx::from_json_string("{axis:1,out_lens:[1,512,7,7]}")),
auto x_main_module_436 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_435);
auto x_main_module_437 = 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_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("relu"), x_main_module_324);
auto x_main_module_326 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[1,1,1,1],padding_mode:0,stride:[1,1]}")),
x_main_module_325,
x_main_module_7);
auto x_main_module_327 = mmain->add_instruction(
migraphx::make_op("broadcast", migraphx::from_json_string("{axis:1,out_lens:[1,512,7,7]}")),
x_main_module_6);
auto x_main_module_328 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_326, x_main_module_327);
auto x_main_module_329 = mmain->add_instruction(migraphx::make_op("relu"), x_main_module_328);
auto x_main_module_330 = mmain->add_instruction(
migraphx::make_op(
"convolution",
migraphx::from_json_string(
"{dilation:[1,1],group:1,padding:[0,0,0,0],padding_mode:0,stride:[1,1]}")),
x_main_module_329,
x_main_module_5);
auto x_main_module_331 = mmain->add_instruction(
migraphx::make_op("broadcast",
migraphx::from_json_string("{axis:1,out_lens:[1,2048,7,7]}")),
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_332 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_330, x_main_module_331);
auto x_main_module_333 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_332, x_main_module_321);
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_op(
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",
migraphx::from_json_string(
"{ceil_mode:0,lengths:[7,7],lp_order:2,mode:0,padding:[0,0,0,0],stride:[1,1]}")),
x_main_module_334);
auto x_main_module_336 = mmain->add_instruction(
migraphx::make_op("reshape", migraphx::from_json_string("{dims:[1,-1]}")),
x_main_module_335);
auto x_main_module_337 = mmain->add_instruction(
migraphx::make_op("transpose", migraphx::from_json_string("{permutation:[1,0]}")),
x_main_module_2);
auto x_main_module_338 =
mmain->add_instruction(migraphx::make_op("dot"), x_main_module_336, x_main_module_337);
auto x_main_module_339 = mmain->add_instruction(
migraphx::make_op("multibroadcast", migraphx::from_json_string("{out_lens:[1,1000]}")),
x_main_module_3);
auto x_main_module_340 = mmain->add_instruction(
migraphx::make_op("multibroadcast", migraphx::from_json_string("{out_lens:[1,1000]}")),
x_main_module_0);
auto x_main_module_341 =
mmain->add_instruction(migraphx::make_op("mul"), x_main_module_339, x_main_module_340);
auto x_main_module_342 =
mmain->add_instruction(migraphx::make_op("add"), x_main_module_338, x_main_module_341);
mmain->add_return({x_main_module_342});
"{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});
return p;
}
......
......@@ -27,6 +27,8 @@
#include <migraphx/config.hpp>
#include <migraphx/operation.hpp>
#include <migraphx/value.hpp>
#include <migraphx/json.hpp>
#include <migraphx/convert_to_json.hpp>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
......@@ -46,6 +48,8 @@ operation make_op(const std::string& name, const Value& v)
return make_op_from_value(name, v);
}
operation make_json_op(const std::string& name, const std::string& s);
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
......
......@@ -35,17 +35,13 @@ struct onnx_options
{
/// Old way to set default fixed dimension size
std::size_t default_dim_value = 0;
/*!
* Default dynamic dimension size (if both default_dim_value and default_dyn_dim_value
* set parser throws)
*/
/// Default dynamic dimension size (if both default_dim_value and default_dyn_dim_value set
/// parser throws)
shape::dynamic_dimension default_dyn_dim_value = {1, 1, 0};
/// Explicitly specify the dims of an input
std::unordered_map<std::string, std::vector<std::size_t>> map_input_dims = {};
/*!
* Explicitly specify dynamic dims of an input (if both map_input_dims and
* map_dyn_input_dims set parser throws)
*/
/// Explicitly specify dynamic dims of an input (if both map_input_dims and map_dyn_input_dims
/// set parser throws)
std::unordered_map<std::string, std::vector<shape::dynamic_dimension>> map_dyn_input_dims = {};
/// Continue parsing onnx file if an unknown operator is found
bool skip_unknown_operators = false;
......@@ -53,6 +49,8 @@ struct onnx_options
bool print_program_on_error = false;
/// Max iter num for the loop operator
int64_t max_loop_iterations = 10;
/// Use dynamic output for operators when available
bool use_dyn_output = false;
};
/// Create a program from an onnx file
......
......@@ -45,7 +45,15 @@ struct convert : unary<convert>
shape compute_shape(std::vector<shape> inputs) const
{
check_shapes{inputs, *this}.has(1);
return {target_type, inputs.at(0).lens(), inputs.at(0).strides()};
auto input = inputs.at(0);
if(input.dynamic())
{
return {target_type, input.dyn_dims()};
}
else
{
return {target_type, input.lens(), input.strides()};
}
}
std::string point_op() const
......
......@@ -45,11 +45,13 @@ namespace op {
struct nonmaxsuppression
{
bool center_point_box = false;
bool use_dyn_output = false;
template <class Self, class F>
static auto reflect(Self& self, F f)
{
return pack(f(self.center_point_box, "center_point_box"));
return pack(f(self.center_point_box, "center_point_box"),
f(self.use_dyn_output, "use_dyn_output"));
}
std::string name() const { return "nonmaxsuppression"; }
......@@ -57,27 +59,81 @@ struct nonmaxsuppression
shape compute_shape(std::vector<shape> inputs) const
{
// requires at least 2 inputs
check_shapes{{inputs.at(0), inputs.at(1)}, *this}.only_dims(3);
auto lens = inputs.front().lens();
check_shapes{{inputs.at(0), inputs.at(1)}, *this, true}.only_dims(3).same_ndims();
auto boxes_max_lens = inputs.at(0).max_lens();
// num batches * num boxes
const auto max_num_boxes = boxes_max_lens.at(0) * boxes_max_lens.at(1);
// check input shape
if(lens[1] != inputs.at(1).lens()[2])
auto fixed_shape_error_check = [&]() {
auto lens = inputs.front().lens();
if(lens[1] != inputs.at(1).lens()[2])
{
MIGRAPHX_THROW(
"NonMaxSuppression: spatial dimension mismatch between boxes and scores input");
}
if(lens[0] != inputs.at(1).lens()[0])
{
MIGRAPHX_THROW(
"NonMaxSuppression: number of batches mismatch between boxes and scores input");
}
};
if(use_dyn_output)
{
MIGRAPHX_THROW(
"NonMaxSuppression: spatial dimension mismatch between boxes and scores input");
if(inputs.at(0).dynamic())
{
// both boxes and scores should be dynamic
// check dynamic dimensions are consistent
const auto boxes_dims = inputs.at(0).dyn_dims();
const auto scores_dims = inputs.at(1).dyn_dims();
if(boxes_dims.at(1) != scores_dims.at(2))
{
MIGRAPHX_THROW("NonMaxSuppression: dynamic spatial dimension mismatch between "
"boxes and scores input");
}
if(boxes_dims.at(0) != scores_dims.at(0))
{
MIGRAPHX_THROW("NonMaxSuppression: dynamic number of batches mismatch between "
"boxes and scores input");
}
}
else if(inputs.at(1).dynamic())
{
// scores has dynamic shape, boxes fixed shape
// check that it is only a dynamic number of classes
const auto scores_dims = inputs.at(1).dyn_dims();
const auto boxes_lens = inputs.at(0).lens();
if(not scores_dims.at(0).is_fixed() or scores_dims.at(0).max != boxes_lens.at(0))
{
MIGRAPHX_THROW("NonMaxSuppression: scores dynamic num_classes; num_batches not "
"fixed or mismatched");
}
if(not scores_dims.at(2).is_fixed() or scores_dims.at(2).max != boxes_lens.at(1))
{
MIGRAPHX_THROW("NonMaxSuppression: scores dynamic num_classes; "
"spatial_dimension not fixed or mismatches");
}
}
else
{
fixed_shape_error_check();
}
std::vector<shape::dynamic_dimension> out_lens = {};
out_lens.push_back({0, max_num_boxes, 0});
out_lens.push_back({3, 3, 0});
return {shape::int64_type, out_lens};
}
// check batch sizes
if(lens[0] != inputs.at(1).lens()[0])
else
{
MIGRAPHX_THROW(
"NonMaxSuppression: number of batches mismatch between boxes and scores input");
if(inputs.at(0).dynamic() or inputs.at(1).dynamic())
{
MIGRAPHX_THROW(
"NonMaxSuppression: dynamic input shape with use_dyn_output set to false");
}
fixed_shape_error_check();
std::vector<std::size_t> out_lens = {max_num_boxes, 3};
return {shape::int64_type, out_lens};
}
std::vector<int64_t> out_lens(2);
out_lens.at(0) = lens.at(1);
out_lens.at(1) = 3;
return {shape::int64_type, out_lens};
}
struct box
......@@ -181,13 +237,13 @@ struct nonmaxsuppression
}
template <class Output, class Boxes, class Scores>
void compute_nms(Output output,
Boxes boxes,
Scores scores,
const shape& output_shape,
std::size_t max_output_boxes_per_class,
double iou_threshold,
double score_threshold) const
std::size_t compute_nms(Output output,
Boxes boxes,
Scores scores,
const shape& max_output_shape,
std::size_t max_output_boxes_per_class,
double iou_threshold,
double score_threshold) const
{
std::fill(output.begin(), output.end(), 0);
const auto& lens = scores.get_shape().lens();
......@@ -197,7 +253,7 @@ struct nonmaxsuppression
// boxes of a class with NMS applied [score, index]
std::vector<std::pair<double, int64_t>> selected_boxes_inside_class;
std::vector<int64_t> selected_indices;
selected_boxes_inside_class.reserve(output_shape.elements());
selected_boxes_inside_class.reserve(max_output_shape.elements());
// iterate over batches and classes
shape comp_s{shape::double_type, {num_batches, num_classes}};
shape_for_each(comp_s, [&](auto idx) {
......@@ -237,11 +293,14 @@ struct nonmaxsuppression
}
});
std::copy(selected_indices.begin(), selected_indices.end(), output.begin());
return selected_indices.size() / 3;
}
argument compute(const shape& output_shape, std::vector<argument> args) const
{
argument result{output_shape};
// make buffer of maximum size
shape max_output_shape = {output_shape.type(), output_shape.max_lens()};
argument result{max_output_shape};
std::size_t max_output_boxes_per_class =
(args.size() > 2) ? (args.at(2).at<std::size_t>()) : 0;
......@@ -249,22 +308,29 @@ struct nonmaxsuppression
{
return result;
}
double iou_threshold = (args.size() > 3) ? (args.at(3).at<double>()) : 0.0f;
double score_threshold = (args.size() > 4) ? (args.at(4).at<double>()) : 0.0f;
double iou_threshold = (args.size() > 3) ? (args.at(3).at<double>()) : 0.0f;
double score_threshold = (args.size() > 4) ? (args.at(4).at<double>()) : 0.0f;
std::size_t num_selected = 0;
result.visit([&](auto output) {
visit_all(args[0], args[1])([&](auto boxes, auto scores) {
compute_nms(output,
boxes,
scores,
output_shape,
max_output_boxes_per_class,
iou_threshold,
score_threshold);
num_selected = compute_nms(output,
boxes,
scores,
max_output_shape,
max_output_boxes_per_class,
iou_threshold,
score_threshold);
});
});
return result;
if(use_dyn_output)
{
return result.reshape({output_shape.type(), {num_selected, 3}});
}
else
{
return result;
}
}
};
......
......@@ -21,16 +21,24 @@
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
#ifndef MIGRAPHX_GUARD_MIGRAPHX_SUPPORTED_SEGMENTS_HPP
#define MIGRAPHX_GUARD_MIGRAPHX_SUPPORTED_SEGMENTS_HPP
#include <migraphx/target_assignments.hpp>
#include <unordered_set>
#include <migraphx/instruction_ref.hpp>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
void target_assignments::add_assignment(instruction_ref ins, const std::string& target)
struct supported_segment
{
assignments.emplace(ins, target);
}
std::unordered_set<instruction_ref> instructions;
float metric;
};
using supported_segments = std::vector<supported_segment>;
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
#endif // MIGRAPHX_GUARD_MIGRAPHX_SUPPORTED_SEGMENTS_HPP
......@@ -37,8 +37,10 @@
#include <migraphx/compile_options.hpp>
#include <migraphx/argument.hpp>
#include <migraphx/rank.hpp>
#include <migraphx/module_ref.hpp>
#include <migraphx/support_metric.hpp>
#include <migraphx/instruction_ref.hpp>
#include <migraphx/supported_segments.hpp>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
......@@ -64,12 +66,12 @@ struct target
*/
context get_context() const;
/**
* @brief Check how well an instruction is supported on a target with the given metric
* @param ins Instruction to check if it's supported
* @param metric Used to define how the return value should be interpreted
* @return The value based on the chosen metric. Negative numbers mean unsupported
* @brief Get the ranges of instructions that are supported on a target
* @param module Module to check for supported instructions
* @param metric Used to define how the quality of the support should be measured
* @return the supported segments of the graph
*/
float is_supported(T&, instruction_ref ins, support_metric m) const;
supported_segments target_is_supported(T&, const_module_ref mod, support_metric metric) const;
/**
* @brief copy an argument to the current target.
*
......@@ -115,9 +117,9 @@ argument copy_from_target(T&, const argument& arg)
}
template <class T>
float target_is_supported(T&, instruction_ref, support_metric)
supported_segments target_find_supported(T&, const_module_ref, support_metric)
{
return 0;
return {};
}
#ifdef TYPE_ERASED_DECLARATION
......@@ -132,7 +134,7 @@ struct target
//
context get_context() const;
// (optional)
float is_supported(instruction_ref ins, support_metric m) const;
supported_segments find_supported(const_module_ref mod, support_metric m) const;
// (optional)
argument copy_to(const argument& input) const;
// (optional)
......@@ -224,10 +226,10 @@ struct target
return (*this).private_detail_te_get_handle().get_context();
}
float is_supported(instruction_ref ins, support_metric m) const
supported_segments find_supported(const_module_ref mod, support_metric m) const
{
assert((*this).private_detail_te_handle_mem_var);
return (*this).private_detail_te_get_handle().is_supported(ins, m);
return (*this).private_detail_te_get_handle().find_supported(mod, m);
}
argument copy_to(const argument& input) const
......@@ -261,33 +263,33 @@ struct target
virtual std::shared_ptr<private_detail_te_handle_base_type> clone() const = 0;
virtual const std::type_info& type() const = 0;
virtual std::string name() const = 0;
virtual std::string name() const = 0;
virtual std::vector<pass> get_passes(context& ctx,
const compile_options& options) const = 0;
virtual context get_context() const = 0;
virtual float is_supported(instruction_ref ins, support_metric m) const = 0;
virtual argument copy_to(const argument& input) const = 0;
virtual argument copy_from(const argument& input) const = 0;
virtual argument allocate(const shape& s) const = 0;
const compile_options& options) const = 0;
virtual context get_context() const = 0;
virtual supported_segments find_supported(const_module_ref mod, support_metric m) const = 0;
virtual argument copy_to(const argument& input) const = 0;
virtual argument copy_from(const argument& input) const = 0;
virtual argument allocate(const shape& s) const = 0;
};
template <class T>
static auto private_detail_te_default_is_supported(char,
T&& private_detail_te_self,
instruction_ref ins,
support_metric m)
-> decltype(private_detail_te_self.is_supported(ins, m))
static auto private_detail_te_default_find_supported(char,
T&& private_detail_te_self,
const_module_ref mod,
support_metric m)
-> decltype(private_detail_te_self.find_supported(mod, m))
{
return private_detail_te_self.is_supported(ins, m);
return private_detail_te_self.find_supported(mod, m);
}
template <class T>
static float private_detail_te_default_is_supported(float,
T&& private_detail_te_self,
instruction_ref ins,
support_metric m)
static supported_segments private_detail_te_default_find_supported(float,
T&& private_detail_te_self,
const_module_ref mod,
support_metric m)
{
return target_is_supported(private_detail_te_self, ins, m);
return target_find_supported(private_detail_te_self, mod, m);
}
template <class T>
......@@ -372,10 +374,11 @@ struct target
context get_context() const override { return private_detail_te_value.get_context(); }
float is_supported(instruction_ref ins, support_metric m) const override
supported_segments find_supported(const_module_ref mod, support_metric m) const override
{
return private_detail_te_default_is_supported(char(0), private_detail_te_value, ins, m);
return private_detail_te_default_find_supported(
char(0), private_detail_te_value, mod, m);
}
argument copy_to(const argument& input) const override
......
......@@ -33,10 +33,20 @@ inline namespace MIGRAPHX_INLINE_NS {
struct target_assignments
{
void add_assignment(instruction_ref ins, const std::string& target);
using iterator = std::unordered_map<instruction_ref, std::string>::const_iterator;
using value_type = std::pair<instruction_ref, std::string>;
auto begin() const { return assignments.cbegin(); }
auto end() const { return assignments.cend(); }
auto size() const { return assignments.size(); }
auto& at(instruction_ref ins) const { return assignments.at(ins); }
auto insert(iterator it, const std::pair<instruction_ref, std::string>& assignment)
{
return assignments.insert(it, assignment);
}
auto find(instruction_ref ins) const { return assignments.find(ins); }
auto begin() const { return assignments.begin(); }
auto end() const { return assignments.end(); }
private:
std::unordered_map<instruction_ref, std::string> assignments;
......
......@@ -64,5 +64,10 @@ operation make_op_from_value(const std::string& name, const value& v)
});
}
operation make_json_op(const std::string& name, const std::string& s)
{
return make_op(name, from_json_string(convert_to_json(s)));
}
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
......@@ -788,12 +788,15 @@ static std::string cpp_var_name(const std::string& name)
static void print_make_op(std::ostream& os, const operation& op)
{
os << "migraphx::make_op(" << enclose_name(op.name());
auto v = op.to_value();
if(not v.empty())
{
os << ", "
<< "migraphx::from_json_string(" << enclose_name(to_json_string(v)) << ")";
os << "migraphx::make_json_op(" << enclose_name(op.name());
os << ", " << enclose_name(to_json_string(v));
}
else
{
os << "migraphx::make_op(" << enclose_name(op.name());
}
os << ")";
}
......
......@@ -97,6 +97,7 @@ struct onnx_parser
shape::dynamic_dimension default_dyn_dim_value = {1, 1, 0};
std::unordered_map<std::string, std::vector<std::size_t>> map_input_dims;
std::unordered_map<std::string, std::vector<shape::dynamic_dimension>> map_dyn_input_dims;
bool use_dyn_output = false;
bool skip_unknown_operators = false;
int64_t max_loop_iterations = 10;
int64_t opset_version = 13;
......
......@@ -60,8 +60,14 @@ program parse_onnx_from(const onnx_options& options, Ts&&... xs)
{
parser.default_dyn_dim_value = options.default_dyn_dim_value;
}
if(not options.map_input_dims.empty() and not options.map_dyn_input_dims.empty())
{
MIGRAPHX_THROW("PARSE_ONNX_FROM: both map_input_dims and map_dyn_input_dims non-empty, only"
"one should be used");
}
parser.skip_unknown_operators = options.skip_unknown_operators;
parser.max_loop_iterations = options.max_loop_iterations;
parser.use_dyn_output = options.use_dyn_output;
if(options.print_program_on_error)
{
......@@ -80,6 +86,7 @@ program parse_onnx_from(const onnx_options& options, Ts&&... xs)
{
parser.parse_from(std::forward<Ts>(xs)...);
}
return std::move(parser.prog);
}
......
......@@ -256,11 +256,6 @@ int64_t onnx_parser::get_opset_version(const onnx::ModelProto& model)
void onnx_parser::parse_graph(module* mod, const onnx::GraphProto& graph)
{
if(not map_input_dims.empty() and not map_dyn_input_dims.empty())
{
MIGRAPHX_THROW("PARSE_GRAPH: both map_input_dims and map_dyn_input_dims non-empty, only"
"one should be used");
}
std::unordered_map<std::string, instruction_ref> mod_insts;
for(auto&& f : graph.initializer())
{
......
......@@ -58,7 +58,6 @@ struct parse_generic_op : op_parser<parse_generic_op>
{"Log", "log"},
{"LRN", "lrn"},
{"Neg", "neg"},
{"NonMaxSuppression", "nonmaxsuppression"},
{"Reciprocal", "recip"},
{"Relu", "relu"},
{"Round", "round"},
......@@ -75,7 +74,7 @@ struct parse_generic_op : op_parser<parse_generic_op>
bool needs_contiguous(const std::string& op_name) const
{
return contains({"flatten", "gather", "nonmaxsuppression", "scatter"}, op_name);
return contains({"flatten", "gather", "scatter"}, op_name);
}
instruction_ref parse(const op_desc& opd,
......
/*
* 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/onnx/op_parser.hpp>
#include <migraphx/ranges.hpp>
#include <migraphx/make_op.hpp>
namespace migraphx {
inline namespace MIGRAPHX_INLINE_NS {
namespace onnx {
struct parse_nonmaxsuppression : op_parser<parse_nonmaxsuppression>
{
std::vector<op_desc> operators() const { return {{"NonMaxSuppression", "nonmaxsuppression"}}; }
instruction_ref parse(const op_desc& opd,
const onnx_parser& parser,
const onnx_parser::node_info& info,
const std::vector<instruction_ref>& args) const
{
auto op = parser.load(opd.op_name, info);
op.from_value({{"use_dyn_output", parser.use_dyn_output}});
return info.add_instruction(op, args);
}
};
} // namespace onnx
} // namespace MIGRAPHX_INLINE_NS
} // namespace migraphx
......@@ -37,6 +37,7 @@
#include <migraphx/output_iterator.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/marker.hpp>
#include <migraphx/supported_segments.hpp>
#include <iostream>
#include <sstream>
#include <algorithm>
......@@ -167,13 +168,37 @@ target_assignments program::get_target_assignments(const std::vector<target>& ta
target_assignments p;
const auto* mod = get_main_module();
for(auto it : iterator_for(*mod))
std::vector<std::pair<target, supported_segments>> target_subgraphs;
target_subgraphs.reserve(targets.size());
std::transform(targets.begin(),
targets.end(),
std::back_inserter(target_subgraphs),
[&](const auto& t) { return std::make_pair(t, t.find_supported(mod, m)); });
for(const auto ins : iterator_for(*mod))
{
auto t = std::max_element(
targets.begin(), targets.end(), [it, m](const target& lhs, const target& rhs) {
return lhs.is_supported(it, m) < rhs.is_supported(it, m);
});
p.add_assignment(it, t->name());
if(contains(p, ins))
{
continue;
}
for(const auto& [target, subgraph] : target_subgraphs)
{
// can't pass a structured binding into lambda in C++17 so create a variable for it
const auto& t = target;
for(const auto& segment : subgraph)
{
const auto& instructions = segment.instructions;
if(not contains(instructions, ins))
{
continue;
}
std::transform(instructions.begin(),
instructions.end(),
std::inserter(p, p.end()),
[&](auto instr) { return std::make_pair(instr, t.name()); });
}
}
}
return p;
}
......
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment