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Commit be5f3539 authored by Shucai Xiao's avatar Shucai Xiao
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merge develop branch changes

parents 7e3bdc34 ebfe9735
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Showing with 94 additions and 44 deletions
test/tf/sub_test.pb 0 → 100644
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test/tf/tanh_test.pb 0 → 100644
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test/tf/tf_test.cpp
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#include <iostream>
#include <vector>
#include <migraphx/literal.hpp>
#include <migraphx/pass_manager.hpp>
#include <migraphx/simplify_reshapes.hpp>
#include <migraphx/dead_code_elimination.hpp>
#include <migraphx/eliminate_identity.hpp>
#include <migraphx/operators.hpp>
#include <migraphx/program.hpp>
#include <migraphx/instruction.hpp>
#include <migraphx/tf.hpp>
#include "test.hpp"
migraphx::program optimize_tf(const std::string& name, bool is_nhwc)
{
auto prog = migraphx::parse_tf(name, is_nhwc);
if(is_nhwc)
migraphx::run_passes(prog,
{migraphx::simplify_reshapes{},
migraphx::dead_code_elimination{},
migraphx::eliminate_identity{}});
return prog;
}
TEST_CASE(add_test)
{
migraphx::program p;
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 2, 2, 3}});
auto l1 = p.add_parameter("1", migraphx::shape{migraphx::shape::float_type, {1, 2, 2, 3}});
p.add_instruction(migraphx::op::add{}, l0, l1);
auto prog = migraphx::parse_tf("add_test.pb", false);
auto prog = optimize_tf("add_test.pb", false);
EXPECT(p == prog);
}
......@@ -28,7 +43,7 @@ TEST_CASE(add_bcast_test)
auto l2 = p.add_instruction(migraphx::op::multibroadcast{s0.lens()}, l0);
auto l3 = p.add_instruction(migraphx::op::multibroadcast{s0.lens()}, l1);
p.add_instruction(migraphx::op::add{}, l2, l3);
auto prog = migraphx::parse_tf("add_bcast_test.pb", false);
auto prog = optimize_tf("add_bcast_test.pb", false);
EXPECT(p == prog);
}
......@@ -51,7 +66,7 @@ TEST_CASE(batchnorm_test)
auto l4 = p.add_parameter("4", s0);
auto l1 = p.add_literal(migraphx::literal{s0, const_vals});
p.add_instruction(op, l0, l1, l2, l3, l4);
auto prog = migraphx::parse_tf("batchnorm_test.pb", true);
auto prog = optimize_tf("batchnorm_test.pb", true);
EXPECT(p == prog);
}
......@@ -65,7 +80,7 @@ TEST_CASE(biasadd_test)
auto l1 = p.add_parameter("1", migraphx::shape{migraphx::shape::float_type, {500}});
auto l2 = p.add_instruction(migraphx::op::broadcast{axis, l0->get_shape().lens()}, l1);
p.add_instruction(migraphx::op::add{}, l0, l2);
auto prog = migraphx::parse_tf("biasadd_test.pb", true);
auto prog = optimize_tf("biasadd_test.pb", true);
EXPECT(p == prog);
}
......@@ -83,7 +98,7 @@ TEST_CASE(concat_test)
p.add_literal(migraphx::shape{migraphx::shape::int32_type}, std::vector<int>{axis});
p.add_instruction(migraphx::op::concat{static_cast<std::size_t>(axis)}, l0, l1);
auto prog = migraphx::parse_tf("concat_test.pb", false);
auto prog = optimize_tf("concat_test.pb", false);
EXPECT(p == prog);
}
......@@ -92,7 +107,7 @@ TEST_CASE(const_test)
{
migraphx::program p;
p.add_literal(migraphx::shape{migraphx::shape::float_type}, std::vector<float>{1.0f});
auto prog = migraphx::parse_tf("constant_test.pb", false);
auto prog = optimize_tf("constant_test.pb", false);
EXPECT(p == prog);
}
......@@ -112,10 +127,9 @@ TEST_CASE(conv_test)
op.padding = {1, 1};
op.stride = {1, 1};
op.dilation = {1, 1};
auto l2 = p.add_instruction(migraphx::op::transpose{{0, 3, 1, 2}}, l1);
auto l3 = p.add_instruction(migraphx::op::transpose{{1, 3, 0, 2}}, l2);
p.add_instruction(op, l0, l3);
auto prog = migraphx::parse_tf("conv_test.pb", true);
auto l2 = p.add_instruction(migraphx::op::transpose{{3, 2, 0, 1}}, l1);
p.add_instruction(op, l0, l2);
auto prog = optimize_tf("conv_test.pb", true);
EXPECT(p == prog);
}
......@@ -136,12 +150,11 @@ TEST_CASE(depthwiseconv_test)
op.stride = {1, 1};
op.dilation = {1, 1};
op.group = 3;
auto l2 = p.add_instruction(migraphx::op::transpose{{0, 3, 1, 2}}, l1);
auto l3 = p.add_instruction(migraphx::op::transpose{{1, 3, 0, 2}}, l2);
auto l3 = p.add_instruction(migraphx::op::transpose{{3, 2, 0, 1}}, l1);
auto l4 = p.add_instruction(migraphx::op::contiguous{}, l3);
auto l5 = p.add_instruction(migraphx::op::reshape{{3, 1, 3, 3}}, l4);
p.add_instruction(op, l0, l5);
auto prog = migraphx::parse_tf("depthwise_conv_test.pb", true);
auto prog = optimize_tf("depthwise_conv_test.pb", true);
EXPECT(p == prog);
}
......@@ -151,7 +164,7 @@ TEST_CASE(identity_test)
migraphx::program p;
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 3, 16, 16}});
p.add_instruction(migraphx::op::identity{}, l0);
auto prog = migraphx::parse_tf("identity_test.pb", false);
auto prog = optimize_tf("identity_test.pb", false);
EXPECT(p == prog);
}
......@@ -166,7 +179,7 @@ TEST_CASE(matmul_test)
auto trans_l1 = p.add_instruction(migraphx::op::transpose{{1, 0}}, l1);
p.add_instruction(migraphx::op::dot{}, trans_l0, trans_l1);
auto prog = migraphx::parse_tf("matmul_test.pb", false);
auto prog = optimize_tf("matmul_test.pb", false);
EXPECT(p == prog);
}
......@@ -183,7 +196,7 @@ TEST_CASE(mean_test)
p.add_instruction(op, l0);
auto l3 = p.add_instruction(op, l0);
p.add_instruction(migraphx::op::squeeze{{2, 3}}, l3);
auto prog = migraphx::parse_tf("mean_test.pb", false);
auto prog = optimize_tf("mean_test.pb", false);
EXPECT(p == prog);
}
......@@ -193,14 +206,11 @@ TEST_CASE(mean_test_nhwc)
migraphx::program p;
migraphx::literal l{migraphx::shape{migraphx::shape::int32_type, {2}}, {1, 2}};
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 3, 16, 16}});
p.add_literal(l);
p.add_literal(l);
migraphx::op::pooling op;
op.lengths = {16, 16};
p.add_instruction(op, l0);
auto l3 = p.add_instruction(op, l0);
auto l3 = p.add_instruction(op, l0);
p.add_instruction(migraphx::op::squeeze{{2, 3}}, l3);
auto prog = migraphx::parse_tf("mean_test_nhwc.pb", true);
auto prog = optimize_tf("mean_test_nhwc.pb", true);
EXPECT(p == prog);
}
......@@ -212,7 +222,7 @@ TEST_CASE(mul_test)
auto l1 = p.add_parameter("1", migraphx::shape{migraphx::shape::float_type, {1, 1, 1, 16}});
p.add_instruction(migraphx::op::mul{}, l0, l1);
auto prog = migraphx::parse_tf("mul_test.pb", false);
auto prog = optimize_tf("mul_test.pb", false);
EXPECT(p == prog);
}
......@@ -234,7 +244,7 @@ TEST_CASE(pack_test)
return p.add_instruction(migraphx::op::unsqueeze{{axis}}, arg);
});
p.add_instruction(migraphx::op::concat{static_cast<size_t>(axis)}, unsqueezed_args);
auto prog = migraphx::parse_tf("pack_test.pb", false);
auto prog = optimize_tf("pack_test.pb", false);
EXPECT(p == prog);
}
......@@ -242,12 +252,15 @@ TEST_CASE(pack_test)
TEST_CASE(pack_test_nhwc)
{
migraphx::program p;
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 2, 1, 1}});
auto l1 = p.add_parameter("1", migraphx::shape{migraphx::shape::float_type, {1, 2, 1, 1}});
auto l2 = p.add_parameter("2", migraphx::shape{migraphx::shape::float_type, {1, 2, 1, 1}});
std::vector<migraphx::instruction_ref> args{l0, l1, l2};
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 2, 1, 1}});
auto lt0 = p.add_instruction(migraphx::op::transpose{{0, 2, 3, 1}}, l0);
auto l1 = p.add_parameter("1", migraphx::shape{migraphx::shape::float_type, {1, 2, 1, 1}});
auto lt1 = p.add_instruction(migraphx::op::transpose{{0, 2, 3, 1}}, l1);
auto l2 = p.add_parameter("2", migraphx::shape{migraphx::shape::float_type, {1, 2, 1, 1}});
auto lt2 = p.add_instruction(migraphx::op::transpose{{0, 2, 3, 1}}, l2);
std::vector<migraphx::instruction_ref> args{lt0, lt1, lt2};
std::vector<migraphx::instruction_ref> unsqueezed_args;
int64_t nchw_axis = 1;
int64_t nchw_axis = 3;
std::transform(args.begin(),
args.end(),
......@@ -256,7 +269,7 @@ TEST_CASE(pack_test_nhwc)
return p.add_instruction(migraphx::op::unsqueeze{{nchw_axis}}, arg);
});
p.add_instruction(migraphx::op::concat{static_cast<size_t>(nchw_axis)}, unsqueezed_args);
auto prog = migraphx::parse_tf("pack_test_nhwc.pb", true);
auto prog = optimize_tf("pack_test_nhwc.pb", true);
EXPECT(p == prog);
}
......@@ -273,9 +286,9 @@ TEST_CASE(pooling_test)
max_pool_op.stride = {2, 2};
avg_pool_op.lengths = {2, 2};
max_pool_op.lengths = {2, 2};
p.add_instruction(avg_pool_op, l0);
p.add_instruction(max_pool_op, l0);
auto prog = migraphx::parse_tf("pooling_test.pb", true);
// p.add_instruction(avg_pool_op, l0);
auto prog = optimize_tf("pooling_test.pb", true);
EXPECT(p == prog);
}
......@@ -285,7 +298,7 @@ TEST_CASE(relu_test)
migraphx::program p;
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 3, 16, 16}});
p.add_instruction(migraphx::op::relu{}, l0);
auto prog = migraphx::parse_tf("relu_test.pb", false);
auto prog = optimize_tf("relu_test.pb", false);
EXPECT(p == prog);
}
......@@ -295,7 +308,7 @@ TEST_CASE(relu6_test)
migraphx::program p;
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 3, 16, 16}});
p.add_instruction(migraphx::op::clip{6.0, 0.0}, l0);
auto prog = migraphx::parse_tf("relu6_test.pb", false);
auto prog = optimize_tf("relu6_test.pb", false);
EXPECT(p == prog);
}
......@@ -308,7 +321,7 @@ TEST_CASE(reshape_test)
// in tf, the second arg is a literal that contains new dimensions
p.add_literal(migraphx::literal{s0, {1, 1, 1, 16}});
p.add_instruction(migraphx::op::reshape{{1, 1, 1, 16}}, l0);
auto prog = migraphx::parse_tf("reshape_test.pb", false);
auto prog = optimize_tf("reshape_test.pb", false);
EXPECT(p == prog);
}
......@@ -321,7 +334,7 @@ TEST_CASE(softmax_test)
auto r = p.add_instruction(migraphx::op::reshape{{long(dims[0]), long(dims[1]), 1, 1}}, l0);
auto s = p.add_instruction(migraphx::op::softmax{}, r);
p.add_instruction(migraphx::op::reshape{{long(dims[0]), long(dims[1])}}, s);
auto prog = migraphx::parse_tf("softmax_test.pb", false);
auto prog = optimize_tf("softmax_test.pb", false);
EXPECT(p == prog);
}
......@@ -331,7 +344,7 @@ TEST_CASE(squeeze_test)
migraphx::program p;
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 2, 3, 1}});
p.add_instruction(migraphx::op::squeeze{{0, 3}}, l0);
auto prog = migraphx::parse_tf("squeeze_test.pb", false);
auto prog = optimize_tf("squeeze_test.pb", false);
EXPECT(p == prog);
}
......@@ -343,18 +356,35 @@ TEST_CASE(stridedslice_test)
std::size_t num_axes = 4;
migraphx::op::slice op;
op.starts = {0, 0, 0, 0};
op.ends = {1, 5, 1, 1};
op.ends = {1, 1, 1, 5};
op.axes = std::vector<int64_t>(num_axes);
std::iota(op.axes.begin(), op.axes.end(), 0);
// add literals for starts, ends, and strides in tf (NHWC format)
p.add_literal(migraphx::shape{migraphx::shape::int32_type, {4}}, std::vector<int>{0, 0, 0, 0});
p.add_literal(migraphx::shape{migraphx::shape::int32_type, {4}}, std::vector<int>{1, 1, 1, 5});
p.add_literal(migraphx::shape{migraphx::shape::int32_type, {4}}, std::vector<int>{1, 1, 1, 1});
auto l1 = p.add_instruction(op, l0);
auto shrink_axis = 2;
auto shrink_axis = 1;
p.add_instruction(migraphx::op::squeeze{{shrink_axis}}, l1);
auto prog = migraphx::parse_tf("stridedslice_test.pb", true);
auto prog = optimize_tf("stridedslice_test.pb", true);
EXPECT(p == prog);
}
TEST_CASE(sub_test)
{
migraphx::program p;
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 2, 2, 3}});
auto l1 = p.add_parameter("1", migraphx::shape{migraphx::shape::float_type, {1, 2, 2, 3}});
p.add_instruction(migraphx::op::sub{}, l0, l1);
auto prog = migraphx::parse_tf("sub_test.pb", false);
EXPECT(p == prog);
}
TEST_CASE(tanh_test)
{
migraphx::program p;
auto l0 = p.add_parameter("0", migraphx::shape{migraphx::shape::float_type, {1, 2, 2, 3}});
auto l1 = p.add_parameter("1", migraphx::shape{migraphx::shape::float_type, {1, 2, 2, 3}});
p.add_instruction(migraphx::op::sub{}, l0, l1);
auto prog = migraphx::parse_tf("sub_test.pb", false);
EXPECT(p == prog);
}
......
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