Unverified Commit 500d9441 authored by Paul Fultz II's avatar Paul Fultz II Committed by GitHub
Browse files

Split cpu and reference implementation (#671)



* Add all_targets cmake target

* Rename target

* Add ref target

* Rename tests

* Refactor compiler target

* Formatting

* Verify for every target

* Formatting

* Add verify test suite

* Formatting

* Add initial test programs

* Formatting

* Add rnn tests

* Formatting

* Validate gpu

* Formatting

* Remove old gpu tests

* Fix gpu tests

* Fix ref error

* Fix tidy issues

* Formatting

* Tidy fixes

* Fix header in python api

* Rename to ref

* Use ref in verify_onnx

* Fix tidy issue

* Build with verbose on

* Fix typo

* Remove verbose

* rename some cpu prefix to ref
Co-authored-by: default avatarShucai Xiao <Shucai.Xiao@amd.com>
parent ba33d25c
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/operators.hpp>
struct test_concat_relu : verify_program<test_concat_relu>
{
migraphx::program create_program() const
{
migraphx::program p;
int axis = 0;
migraphx::shape s0{migraphx::shape::float_type, {2, 2}};
migraphx::shape s1{migraphx::shape::float_type, {3, 2}};
migraphx::shape s2{migraphx::shape::float_type, {1, 2}};
auto l0 = p.add_parameter("x", s0);
auto l1 = p.add_parameter("y", s1);
auto l2 = p.add_parameter("z", s2);
auto r0 = p.add_instruction(migraphx::op::relu{}, l0);
auto r1 = p.add_instruction(migraphx::op::relu{}, l1);
auto r2 = p.add_instruction(migraphx::op::relu{}, l2);
auto c0 = p.add_instruction(migraphx::op::concat{axis}, r0, r1, r2);
p.add_instruction(migraphx::op::relu{}, c0);
return p;
}
};
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/operators.hpp>
struct test_concat_transpose : verify_program<test_concat_transpose>
{
migraphx::program create_program() const
{
migraphx::program p;
int axis = 1;
migraphx::shape s0{migraphx::shape::int32_type, {2, 2}};
migraphx::shape s1{migraphx::shape::int32_type, {3, 2}};
migraphx::shape s2{migraphx::shape::int32_type, {2, 4}};
auto l0 = p.add_parameter("x", s0);
auto lp1 = p.add_parameter("y", s1);
auto l1 = p.add_instruction(migraphx::op::transpose{{1, 0}}, lp1);
auto l2 = p.add_parameter("z", s2);
p.add_instruction(migraphx::op::concat{axis}, l0, l1, l2);
return p;
}
};
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/operators.hpp>
struct test_concat_transpose2 : verify_program<test_concat_transpose2>
{
migraphx::program create_program() const
{
migraphx::program p;
int axis = 1;
migraphx::shape s0{migraphx::shape::int32_type, {2, 2}};
migraphx::shape s1{migraphx::shape::int32_type, {2, 3}};
migraphx::shape s2{migraphx::shape::int32_type, {5, 2}};
auto l0 = p.add_parameter("x", s0);
auto l1 = p.add_parameter("y", s1);
auto lp2 = p.add_parameter("z", s2);
auto l2 = p.add_instruction(migraphx::op::transpose{{1, 0}}, lp2);
p.add_instruction(migraphx::op::concat{axis}, l0, l1, l2);
return p;
}
};
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/operators.hpp>
struct test_concat_transpose3 : verify_program<test_concat_transpose3>
{
migraphx::program create_program() const
{
migraphx::program p;
int axis = 1;
migraphx::shape s0{migraphx::shape::int32_type, {2, 2}};
migraphx::shape s1{migraphx::shape::int32_type, {3, 2}};
migraphx::shape s2{migraphx::shape::int32_type, {5, 2}};
auto l0 = p.add_parameter("x", s0);
auto lp1 = p.add_parameter("y", s1);
auto l1 = p.add_instruction(migraphx::op::transpose{{1, 0}}, lp1);
auto lp2 = p.add_parameter("z", s2);
auto l2 = p.add_instruction(migraphx::op::transpose{{1, 0}}, lp2);
p.add_instruction(migraphx::op::concat{axis}, l0, l1, l2);
return p;
}
};
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/operators.hpp>
#include <cassert>
struct test_contiguous : verify_program<test_contiguous>
{
migraphx::program create_program() const
{
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {4, 4, 4, 3}, {48, 4, 1, 16}};
auto x = p.add_parameter("x", s);
p.add_instruction(migraphx::op::contiguous{}, x);
assert(p.get_output_shapes().back().standard());
return p;
}
};
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/operators.hpp>
#include <cassert>
struct test_contiguous_broadcast : verify_program<test_contiguous_broadcast>
{
migraphx::program create_program() const
{
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {1, 2}, {0, 1}};
auto x = p.add_parameter("x", s);
p.add_instruction(migraphx::op::contiguous{}, x);
assert(p.get_output_shapes().back().standard());
return p;
}
};
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/operators.hpp>
#include <cassert>
struct test_contiguous_broadcast_transpose : verify_program<test_contiguous_broadcast_transpose>
{
migraphx::program create_program() const
{
migraphx::program p;
migraphx::shape s{migraphx::shape::float_type, {1, 3072, 768}, {0, 1, 3072}};
auto x = p.add_parameter("x", s);
p.add_instruction(migraphx::op::contiguous{}, x);
assert(p.get_output_shapes().back().standard());
return p;
}
};
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/operators.hpp>
struct test_conv : verify_program<test_conv>
{
migraphx::program create_program() const
{
migraphx::program p;
auto input =
p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {4, 3, 3, 3}});
auto weights =
p.add_parameter("w", migraphx::shape{migraphx::shape::float_type, {4, 3, 3, 3}});
p.add_instruction(migraphx::op::convolution{}, input, weights);
return p;
}
};
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/operators.hpp>
struct test_conv2 : verify_program<test_conv2>
{
migraphx::program create_program() const
{
migraphx::program p;
auto input =
p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {1, 512, 28, 28}});
auto weights =
p.add_parameter("w", migraphx::shape{migraphx::shape::float_type, {256, 512, 1, 1}});
p.add_instruction(migraphx::op::convolution{{0, 0}, {1, 1}, {1, 1}}, input, weights);
return p;
}
};
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/operators.hpp>
struct test_conv3d : verify_program<test_conv3d>
{
migraphx::program create_program() const
{
migraphx::program p;
auto input =
p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {4, 3, 3, 3, 3}});
auto weights =
p.add_parameter("w", migraphx::shape{migraphx::shape::float_type, {4, 3, 3, 3, 3}});
p.add_instruction(
migraphx::op::convolution{{0, 0, 0}, {1, 1, 1}, {1, 1, 1}}, input, weights);
return p;
}
};
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/operators.hpp>
struct test_conv_add : verify_program<test_conv_add>
{
migraphx::program create_program() const
{
migraphx::program p;
auto x = p.add_parameter("x", {migraphx::shape::float_type, {1, 8, 4, 4}});
auto w = p.add_literal(
migraphx::generate_literal({migraphx::shape::float_type, {2, 8, 3, 3}}, 1));
auto y = p.add_parameter("y", {migraphx::shape::float_type, {1, 8, 4, 4}});
auto v = p.add_literal(
migraphx::generate_literal({migraphx::shape::float_type, {2, 8, 3, 3}}, 2));
auto conv1 = p.add_instruction(migraphx::op::convolution{}, x, w);
auto conv2 = p.add_instruction(migraphx::op::convolution{}, y, v);
auto sum = p.add_instruction(migraphx::op::add{}, conv1, conv2);
p.add_instruction(migraphx::op::exp{}, sum);
return p;
}
};
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/operators.hpp>
struct test_conv_add_1x1_diff_strides : verify_program<test_conv_add_1x1_diff_strides>
{
migraphx::program create_program() const
{
migraphx::program p;
auto x = p.add_parameter("x", {migraphx::shape::float_type, {1, 8, 2, 2}});
auto w = p.add_literal(
migraphx::generate_literal({migraphx::shape::float_type, {2, 8, 1, 1}}, 1));
auto y = p.add_parameter("y", {migraphx::shape::float_type, {1, 8, 4, 4}});
auto v = p.add_literal(
migraphx::generate_literal({migraphx::shape::float_type, {2, 8, 1, 1}}, 2));
auto conv1 = p.add_instruction(migraphx::op::convolution{}, x, w);
auto conv2 = p.add_instruction(migraphx::op::convolution{{0, 0}, {2, 2}}, y, v);
auto sum = p.add_instruction(migraphx::op::add{}, conv1, conv2);
p.add_instruction(migraphx::op::exp{}, sum);
return p;
}
};
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/operators.hpp>
#include <migraphx/instruction.hpp>
struct test_conv_bias_clipped_relu : verify_program<test_conv_bias_clipped_relu>
{
migraphx::program create_program() const
{
migraphx::program p;
std::vector<size_t> input_lens{4, 3, 3, 3};
auto input =
p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {4, 3, 3, 3}});
auto weights =
p.add_parameter("w", migraphx::shape{migraphx::shape::float_type, {4, 3, 3, 3}});
auto l0 = migraphx::literal{migraphx::shape{migraphx::shape::float_type, {4}},
{2.0f, 2.0f, 2.0f, 2.0f}};
auto bias = p.add_literal(l0);
auto conv = p.add_instruction(migraphx::op::convolution{}, input, weights);
auto bcast_add =
p.add_instruction(migraphx::op::broadcast{1, conv->get_shape().lens()}, bias);
auto bias_add = p.add_instruction(migraphx::op::add{}, conv, bcast_add);
auto min_val = p.add_literal(0.0f);
auto max_val = p.add_literal(6.0f);
min_val = p.add_instruction(migraphx::op::multibroadcast{input_lens}, min_val);
max_val = p.add_instruction(migraphx::op::multibroadcast{input_lens}, max_val);
p.add_instruction(migraphx::op::clip{}, bias_add, min_val, max_val);
return p;
}
};
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/operators.hpp>
struct test_conv_bn : verify_program<test_conv_bn>
{
migraphx::program create_program() const
{
migraphx::program p;
migraphx::shape xs{migraphx::shape::float_type, {1, 3, 224, 224}};
migraphx::shape ws{migraphx::shape::float_type, {64, 3, 7, 7}};
migraphx::shape vars{migraphx::shape::float_type, {64}};
auto x = p.add_parameter("x", xs);
auto w = p.add_parameter("w", ws);
auto conv = p.add_instruction(migraphx::op::convolution{{3, 3}, {2, 2}, {1, 1}}, x, w);
auto scale = p.add_literal(migraphx::abs(migraphx::generate_literal(vars, 1)));
auto bias = p.add_literal(migraphx::abs(migraphx::generate_literal(vars, 2)));
auto mean = p.add_literal(migraphx::abs(migraphx::generate_literal(vars, 3)));
auto variance = p.add_literal(migraphx::abs(migraphx::generate_literal(vars, 4)));
p.add_instruction(migraphx::op::batch_norm_inference{}, conv, scale, bias, mean, variance);
return p;
}
};
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/operators.hpp>
// struct test_conv_bn_add : verify_program<test_conv_bn_add>
// {
// static migraphx::instruction_ref add_bn(migraphx::program& p,
// migraphx::instruction_ref x,
// std::size_t channels,
// std::size_t seed = 1)
// {
// migraphx::shape vars{migraphx::shape::float_type, {channels}};
// auto scale = p.add_literal(migraphx::abs(migraphx::generate_literal(vars, 1 + seed)));
// auto bias = p.add_literal(migraphx::abs(migraphx::generate_literal(vars, 2 + seed)));
// auto mean = p.add_literal(migraphx::abs(migraphx::generate_literal(vars, 3 + seed)));
// auto variance = p.add_literal(migraphx::abs(migraphx::generate_literal(vars, 4 + seed)));
// return p.add_instruction(
// migraphx::op::batch_norm_inference{}, x, scale, bias, mean, variance);
// }
// migraphx::program create_program() const
// {
// migraphx::program p;
// std::size_t ichannels = 64;
// std::size_t ochannels = 256;
// auto x = p.add_parameter("x", {migraphx::shape::float_type, {1, ichannels, 56, 56}});
// auto w = p.add_literal(migraphx::generate_literal(
// {migraphx::shape::float_type, {ochannels, ichannels, 1, 1}}, 1));
// auto y = p.add_parameter("y", {migraphx::shape::float_type, {1, ichannels, 56, 56}});
// auto v = p.add_literal(migraphx::generate_literal(
// {migraphx::shape::float_type, {ochannels, ichannels, 1, 1}}, 2));
// auto relu1 = p.add_instruction(migraphx::op::relu{}, x);
// auto conv1 = p.add_instruction(migraphx::op::convolution{}, relu1, w);
// auto bn1 = add_bn(p, conv1, ochannels, 1);
// auto relu2 = p.add_instruction(migraphx::op::relu{}, y);
// auto conv2 = p.add_instruction(migraphx::op::convolution{}, relu2, v);
// auto bn2 = add_bn(p, conv2, ochannels, 1);
// auto sum = p.add_instruction(migraphx::op::add{}, bn1, bn2);
// p.add_instruction(migraphx::op::relu{}, sum);
// return p;
// }
// };
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/operators.hpp>
struct test_conv_bn_relu_pooling : verify_program<test_conv_bn_relu_pooling>
{
migraphx::program create_program() const
{
migraphx::program p;
migraphx::shape xs{migraphx::shape::float_type, {1, 3, 224, 224}};
migraphx::shape ws{migraphx::shape::float_type, {64, 3, 7, 7}};
migraphx::shape vars{migraphx::shape::float_type, {64}};
auto x = p.add_parameter("x", xs);
auto w = p.add_parameter("w", ws);
auto conv = p.add_instruction(migraphx::op::convolution{{3, 3}, {2, 2}, {1, 1}}, x, w);
auto scale = p.add_literal(migraphx::abs(migraphx::generate_literal(vars, 1)));
auto bias = p.add_literal(migraphx::abs(migraphx::generate_literal(vars, 2)));
auto mean = p.add_literal(migraphx::abs(migraphx::generate_literal(vars, 3)));
auto variance = p.add_literal(migraphx::abs(migraphx::generate_literal(vars, 4)));
auto bn = p.add_instruction(
migraphx::op::batch_norm_inference{}, conv, scale, bias, mean, variance);
auto relu = p.add_instruction(migraphx::op::relu{}, bn);
p.add_instruction(migraphx::op::pooling{"average", {1, 1}, {2, 2}, {3, 3}}, relu);
return p;
}
};
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/operators.hpp>
struct test_conv_bn_relu_pooling2 : verify_program<test_conv_bn_relu_pooling2>
{
static migraphx::instruction_ref
add_bn(migraphx::program& p, migraphx::instruction_ref x, std::size_t channels)
{
migraphx::shape vars{migraphx::shape::float_type, {channels}};
auto scale = p.add_literal(migraphx::abs(migraphx::generate_literal(vars, 1 + channels)));
auto bias = p.add_literal(migraphx::abs(migraphx::generate_literal(vars, 2 + channels)));
auto mean = p.add_literal(migraphx::abs(migraphx::generate_literal(vars, 3 + channels)));
auto variance =
p.add_literal(migraphx::abs(migraphx::generate_literal(vars, 4 + channels)));
return p.add_instruction(
migraphx::op::batch_norm_inference{}, x, scale, bias, mean, variance);
}
migraphx::program create_program() const
{
migraphx::program p;
migraphx::shape xs1{migraphx::shape::float_type, {1, 512, 7, 7}};
migraphx::shape xs2{migraphx::shape::float_type, {1, 1024, 14, 14}};
migraphx::shape ws1{migraphx::shape::float_type, {2048, 512, 1, 1}};
migraphx::shape ws2{migraphx::shape::float_type, {2048, 1024, 1, 1}};
auto x1 = p.add_parameter("x1", xs1);
auto w1 = p.add_parameter("w1", ws1);
auto conv1 = p.add_instruction(migraphx::op::convolution{{0, 0}, {1, 1}, {1, 1}}, x1, w1);
auto bn1 = add_bn(p, conv1, 2048);
auto x2 = p.add_parameter("x2", xs2);
auto w2 = p.add_parameter("w2", ws2);
auto conv2 = p.add_instruction(migraphx::op::convolution{{0, 0}, {2, 2}, {1, 1}}, x2, w2);
auto bn2 = add_bn(p, conv2, 2048);
auto add = p.add_instruction(migraphx::op::add{}, bn1, bn2);
auto relu = p.add_instruction(migraphx::op::relu{}, add);
p.add_instruction(migraphx::op::pooling{"average", {1, 1}, {2, 2}, {3, 3}}, relu);
return p;
}
};
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/operators.hpp>
struct test_conv_pooling : verify_program<test_conv_pooling>
{
migraphx::program create_program() const
{
migraphx::program p;
auto input =
p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {4, 3, 32, 32}});
auto weights =
p.add_parameter("w", migraphx::shape{migraphx::shape::float_type, {4, 3, 3, 3}});
auto conv = p.add_instruction(migraphx::op::convolution{}, input, weights);
auto pooling = p.add_instruction(migraphx::op::pooling{"max"}, conv);
p.add_instruction(migraphx::op::relu{}, pooling);
return p;
}
};
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/operators.hpp>
struct test_conv_relu : verify_program<test_conv_relu>
{
migraphx::program create_program() const
{
migraphx::program p;
auto input =
p.add_parameter("x", migraphx::shape{migraphx::shape::float_type, {4, 3, 3, 3}});
auto weights =
p.add_parameter("w", migraphx::shape{migraphx::shape::float_type, {4, 3, 3, 3}});
auto conv = p.add_instruction(migraphx::op::convolution{}, input, weights);
p.add_instruction(migraphx::op::relu{}, conv);
return p;
}
};
#include "verify_program.hpp"
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/operators.hpp>
struct test_conv_relu_half : verify_program<test_conv_relu_half>
{
migraphx::program create_program() const
{
migraphx::program p;
auto input =
p.add_parameter("x", migraphx::shape{migraphx::shape::half_type, {4, 3, 3, 3}});
auto weights =
p.add_parameter("w", migraphx::shape{migraphx::shape::half_type, {4, 3, 3, 3}});
auto conv = p.add_instruction(migraphx::op::convolution{}, input, weights);
p.add_instruction(migraphx::op::relu{}, conv);
return p;
}
};
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