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Commit a045fb19 authored by Alan Turner's avatar Alan Turner
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Merge branch 'develop' into ck-flash-attn

parents 135eb63e 434a06cf
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test/ref/pow.cpp 0 → 100644
View file @ a045fb19
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2023 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/instruction.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/program.hpp>
#include <migraphx/register_target.hpp>
#include <migraphx/verify.hpp>
#include <test.hpp>
TEST_CASE(pow_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3}};
std::vector<float> data = {1, 2, 3};
auto b = mm->add_literal(migraphx::literal{s, data});
auto e = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(migraphx::make_op("pow"), b, e);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector(3);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = data;
std::transform(
gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return std::pow(n, n); });
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(pow_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3}};
auto b = mm->add_parameter("b", s);
auto e = mm->add_parameter("e", s);
mm->add_instruction(migraphx::make_op("pow"), b, e);
p.compile(migraphx::make_target("ref"));
std::vector<float> data = {1, 2, 3};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {3}};
params0["b"] = migraphx::argument(input_fixed_shape0, data.data());
params0["e"] = migraphx::argument(input_fixed_shape0, data.data());
auto result = p.eval(params0).back();
std::vector<float> results_vector(3);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = data;
std::transform(
gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return std::pow(n, n); });
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
test/ref/prefix_scan_sum.cpp 0 → 100644
View file @ a045fb19
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2023 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/instruction.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/program.hpp>
#include <migraphx/register_target.hpp>
#include <migraphx/verify.hpp>
#include <test.hpp>
TEST_CASE(prefix_scan_sum_1d)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {6}};
auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("prefix_scan_sum", {{"axis", 0}, {"exclusive", false}}),
l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{1.0, 3.0, 6.0, 10.0, 15.0, 21.0};
EXPECT(results_vector == gold);
}
TEST_CASE(prefix_scan_sum_dyn_1d)
{
migraphx::program p;
auto* mm = p.get_main_module();
std::vector<migraphx::shape::dynamic_dimension> dd{{5, 8}};
migraphx::shape s{migraphx::shape::float_type, dd};
auto input = mm->add_parameter("X", s);
mm->add_instruction(migraphx::make_op("prefix_scan_sum", {{"axis", 0}, {"exclusive", false}}),
input);
p.compile(migraphx::make_target("ref"));
std::vector<float> a = {1, 2, 3, 4, 5, 6};
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {6}};
migraphx::parameter_map params0;
params0["X"] = migraphx::argument(input_fixed_shape0, a.data());
auto result = p.eval(params0).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{1.0, 3.0, 6.0, 10.0, 15.0, 21.0};
EXPECT(results_vector == gold);
}
TEST_CASE(prefix_scan_sum_2d_1)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3, 3}};
auto input = migraphx::literal{s, {1, 2, 3, 1, 2, 3, 1, 2, 3}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("prefix_scan_sum", {{"axis", 0}, {"exclusive", false}}),
l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{1.0, 2.0, 3.0, 2.0, 4.0, 6.0, 3.0, 6.0, 9.0};
EXPECT(results_vector == gold);
}
TEST_CASE(prefix_scan_sum_2d_2)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3, 3}};
auto input = migraphx::literal{s, {1, 2, 3, 1, 2, 3, 1, 2, 3}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("prefix_scan_sum", {{"axis", 1}, {"exclusive", false}}),
l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{1.0, 3.0, 6.0, 1.0, 3.0, 6.0, 1.0, 3.0, 6.0};
EXPECT(results_vector == gold);
}
TEST_CASE(prefix_scan_sum_3d_1)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {2, 3, 3}};
auto input = migraphx::literal{s, {1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("prefix_scan_sum", {{"axis", 0}, {"exclusive", false}}),
l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{
1.0, 2.0, 3.0, 1.0, 2.0, 3.0, 1.0, 2.0, 3.0, 2.0, 4.0, 6.0, 2.0, 4.0, 6.0, 2.0, 4.0, 6.0};
EXPECT(results_vector == gold);
}
TEST_CASE(prefix_scan_sum_3d_2)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {2, 3, 3}};
auto input = migraphx::literal{s, {1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("prefix_scan_sum", {{"axis", 1}, {"exclusive", false}}),
l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{
1.0, 2.0, 3.0, 2.0, 4.0, 6.0, 3.0, 6.0, 9.0, 1.0, 2.0, 3.0, 2.0, 4.0, 6.0, 3.0, 6.0, 9.0};
EXPECT(results_vector == gold);
}
TEST_CASE(prefix_scan_sum_3d_3)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {2, 3, 3}};
auto input = migraphx::literal{s, {1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("prefix_scan_sum", {{"axis", 2}, {"exclusive", false}}),
l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{
1.0, 3.0, 6.0, 1.0, 3.0, 6.0, 1.0, 3.0, 6.0, 1.0, 3.0, 6.0, 1.0, 3.0, 6.0, 1.0, 3.0, 6.0};
EXPECT(results_vector == gold);
}
TEST_CASE(prefix_scan_sum_exclusive_1)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {8}};
auto input = migraphx::literal{s, {1, 2, 3, 4, 1, 2, 3, 4}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("prefix_scan_sum", {{"axis", 0}, {"exclusive", true}}),
l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{0.0, 1.0, 3.0, 6.0, 10.0, 11.0, 13.0, 16.0};
EXPECT(results_vector == gold);
}
TEST_CASE(prefix_scan_sum_exclusive_2)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {2, 3, 3}};
auto input = migraphx::literal{s, {1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("prefix_scan_sum", {{"axis", 1}, {"exclusive", true}}),
l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{
0.0, 0.0, 0.0, 1.0, 2.0, 3.0, 2.0, 4.0, 6.0, 0.0, 0.0, 0.0, 1.0, 2.0, 3.0, 2.0, 4.0, 6.0};
EXPECT(results_vector == gold);
}
TEST_CASE(prefix_scan_sum_exclusive_reverse)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {6}};
auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6}};
auto l0 = mm->add_literal(input);
mm->add_instruction(
migraphx::make_op("prefix_scan_sum", {{"axis", 0}, {"exclusive", true}, {"reverse", true}}),
l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{20.0, 18.0, 15.0, 11.0, 6.0, 0.0};
EXPECT(results_vector == gold);
}
TEST_CASE(prefix_scan_sum_negative_axis_1)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {2, 3, 3}};
auto input = migraphx::literal{s, {1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("prefix_scan_sum", {{"axis", -3}, {"exclusive", false}}),
l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{
1.0, 2.0, 3.0, 1.0, 2.0, 3.0, 1.0, 2.0, 3.0, 2.0, 4.0, 6.0, 2.0, 4.0, 6.0, 2.0, 4.0, 6.0};
EXPECT(results_vector == gold);
}
TEST_CASE(prefix_scan_sum_negative_axis_2)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {2, 3, 3}};
auto input = migraphx::literal{s, {1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("prefix_scan_sum", {{"axis", -2}, {"exclusive", false}}),
l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{
1.0, 2.0, 3.0, 2.0, 4.0, 6.0, 3.0, 6.0, 9.0, 1.0, 2.0, 3.0, 2.0, 4.0, 6.0, 3.0, 6.0, 9.0};
EXPECT(results_vector == gold);
}
TEST_CASE(prefix_scan_sum_negative_axis_3)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {2, 3, 3}};
auto input = migraphx::literal{s, {1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("prefix_scan_sum", {{"axis", -1}, {"exclusive", false}}),
l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{
1.0, 3.0, 6.0, 1.0, 3.0, 6.0, 1.0, 3.0, 6.0, 1.0, 3.0, 6.0, 1.0, 3.0, 6.0, 1.0, 3.0, 6.0};
EXPECT(results_vector == gold);
}
TEST_CASE(prefix_scan_sum_reverse_1)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {8}};
auto input = migraphx::literal{s, {1, 2, 3, 4, 1, 2, 3, 4}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("prefix_scan_sum",
{{"axis", 0}, {"exclusive", false}, {"reverse", true}}),
l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{20.0, 19.0, 17.0, 14.0, 10.0, 9.0, 7.0, 4.0};
EXPECT(results_vector == gold);
}
TEST_CASE(prefix_scan_sum_reverse_2)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {2, 2, 2}};
auto input = migraphx::literal{s, {1, 2, 3, 4, 1, 2, 3, 4}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("prefix_scan_sum",
{{"axis", 0}, {"exclusive", false}, {"reverse", true}}),
l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{2.0, 4.0, 6.0, 8.0, 1.0, 2.0, 3.0, 4.0};
EXPECT(results_vector == gold);
}
test/ref/prelu.cpp 0 → 100644
View file @ a045fb19
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2023 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/instruction.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/program.hpp>
#include <migraphx/register_target.hpp>
#include <migraphx/verify.hpp>
#include <test.hpp>
TEST_CASE(prelu_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3}};
auto x = mm->add_literal(migraphx::literal{s, {-1, 0, 2}});
auto slope = mm->add_literal(migraphx::literal{s, {2, 1, 2}});
mm->add_instruction(migraphx::make_op("prelu"), x, slope);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {-2.0f, 0.0f, 2.0f};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(prelu_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
std::vector<migraphx::shape::dynamic_dimension> dd{{2, 6}};
migraphx::shape s{migraphx::shape::float_type, dd};
auto x = mm->add_parameter("x", s);
auto slope = mm->add_parameter("slope", s);
mm->add_instruction(migraphx::make_op("prelu"), x, slope);
p.compile(migraphx::make_target("ref"));
std::vector<float> x_data{-1, 0, 2};
std::vector<float> slope_data{2, 1, 2};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {3}};
params0["x"] = migraphx::argument(input_fixed_shape0, x_data.data());
params0["slope"] = migraphx::argument(input_fixed_shape0, slope_data.data());
auto result = p.eval(params0).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {-2.0f, 0.0f, 2.0f};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
test/ref/quant_convolution.cpp 0 → 100644
View file @ a045fb19
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2023 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/instruction.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/program.hpp>
#include <migraphx/register_target.hpp>
#include <migraphx/verify.hpp>
#include <test.hpp>
TEST_CASE(quant_conv2d_padding_stride_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape a_shape{migraphx::shape::int8_type, {2, 3, 4, 4}};
std::vector<int8_t> a(2 * 3 * 4 * 4);
std::iota(a.begin(), a.end(), 0);
auto al = mm->add_literal(migraphx::literal{a_shape, a});
migraphx::shape c_shape{migraphx::shape::int8_type, {2, 3, 3, 3}};
std::vector<int8_t> c(2 * 3 * 3 * 3);
std::iota(c.begin(), c.end(), 0);
auto cl = mm->add_literal(migraphx::literal{c_shape, c});
mm->add_instruction(
migraphx::make_op("quant_convolution", {{"padding", {1, 1}}, {"stride", {2, 2}}}), al, cl);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<int32_t> s = {4521,
7014,
7830,
11952,
10515,
16734,
19737,
30906,
13161,
19542,
19494,
28800,
34707,
52590,
54729,
82746};
std::vector<int32_t> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_range(results_vector, s));
}
TEST_CASE(quant_conv2d_padding_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape a_shape{migraphx::shape::int8_type, {2, 3, 4, 4}};
std::vector<int8_t> a(2 * 3 * 4 * 4);
std::iota(a.begin(), a.end(), 0);
auto al = mm->add_literal(migraphx::literal{a_shape, a});
migraphx::shape c_shape{migraphx::shape::int8_type, {2, 3, 3, 3}};
std::vector<int8_t> c(2 * 3 * 3 * 3);
std::iota(c.begin(), c.end(), 0);
auto cl = mm->add_literal(migraphx::literal{c_shape, c});
mm->add_instruction(
migraphx::make_op("quant_convolution", {{"padding", {1, 1}}, {"stride", {1, 1}}}), al, cl);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<int32_t> s = {
4521, 6753, 7014, 4635, 6858, 10197, 10548, 6939, 7830, 11601, 11952, 7839, 5007,
7383, 7590, 4953, 10515, 15987, 16734, 11277, 16821, 25506, 26586, 17874, 19737, 29826,
30906, 20718, 13593, 20505, 21198, 14187, 13161, 19281, 19542, 12699, 18522, 27045, 27396,
17739, 19494, 28449, 28800, 18639, 11919, 17319, 17526, 11289, 34707, 51843, 52590, 34893,
51813, 77346, 78426, 52002, 54729, 81666, 82746, 54846, 36057, 53769, 54462, 36075};
std::vector<int32_t> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_range(results_vector, s));
}
TEST_CASE(quant_conv2d_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape a_shape{migraphx::shape::int8_type, {2, 3, 4, 4}};
std::vector<int8_t> a(2 * 3 * 4 * 4);
std::iota(a.begin(), a.end(), 0);
auto al = mm->add_literal(migraphx::literal{a_shape, a});
migraphx::shape c_shape{migraphx::shape::int8_type, {2, 3, 3, 3}};
std::vector<int8_t> c(2 * 3 * 3 * 3);
std::iota(c.begin(), c.end(), 0);
auto cl = mm->add_literal(migraphx::literal{c_shape, c});
mm->add_instruction(migraphx::make_op("quant_convolution"), al, cl);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<int32_t> s = {10197,
10548,
11601,
11952,
25506,
26586,
29826,
30906,
27045,
27396,
28449,
28800,
77346,
78426,
81666,
82746};
std::vector<int32_t> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_range(results_vector, s));
}
test/ref/quantizelinear.cpp 0 → 100644
View file @ a045fb19
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2023 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/instruction.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/program.hpp>
#include <migraphx/register_target.hpp>
#include <migraphx/verify.hpp>
#include <test.hpp>
TEST_CASE(quantizelinear_1)
{
migraphx::shape xs{migraphx::shape::float_type, {2, 3, 3}};
std::vector<float> xv = {
-300, 600, 129, -1000, 4, 3, -6, 600, 550, -300, 600, 129, -1000, 4, 3, -6, 600, 550};
migraphx::shape ss{migraphx::shape::float_type, {2, 3, 3}};
std::vector<float> sv = {2, 2, 2, 4, 4, 4, 6, 6, 6, 2, 2, 2, 4, 4, 4, 6, 6, 6};
migraphx::shape zs{migraphx::shape::int8_type, {2, 3, 3}};
std::vector<uint8_t> zv = {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
auto create_program = [&]() {
migraphx::program p;
auto* mm = p.get_main_module();
auto x = mm->add_literal(xs, xv);
auto s = mm->add_literal(ss, sv);
auto z = mm->add_literal(zs, zv);
mm->add_instruction(migraphx::make_op("quantizelinear"), x, s, z);
return p;
};
migraphx::program p1 = create_program();
p1.compile(migraphx::make_target("ref"));
auto result = p1.eval({}).back();
std::vector<float> results_vector(18);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{
-128, 127, 65, -128, 1, 1, -1, 100, 92, -128, 127, 65, -128, 1, 1, -1, 100, 92};
EXPECT(results_vector == gold);
}
TEST_CASE(quantizelinear_2)
{
migraphx::shape xs{migraphx::shape::float_type, {2, 3, 3}};
std::vector<float> xv = {
-300, 600, 129, -1000, 4, 3, -6, 600, 550, -300, 600, 129, -1000, 4, 3, -6, 600, 550};
migraphx::shape ss{migraphx::shape::float_type, {2, 3, 3}};
std::vector<float> sv = {2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2};
auto create_program = [&]() {
migraphx::program p;
auto* mm = p.get_main_module();
auto x = mm->add_literal(xs, xv);
auto s = mm->add_literal(ss, sv);
mm->add_instruction(migraphx::make_op("quantizelinear"), x, s);
return p;
};
migraphx::program p1 = create_program();
p1.compile(migraphx::make_target("ref"));
auto result = p1.eval({}).back();
std::vector<float> results_vector(18);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{0, 255, 65, 0, 2, 2, 0, 255, 255, 0, 255, 65, 0, 2, 2, 0, 255, 255};
EXPECT(results_vector == gold);
}
test/ref/random_seed.cpp 0 → 100644
View file @ a045fb19
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2023 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/instruction.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/program.hpp>
#include <migraphx/register_target.hpp>
#include <migraphx/verify.hpp>
#include <random>
#include <test.hpp>
/**
* Reference test for the random_seed operation
*/
TEST_CASE(random_seed_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
mm->add_instruction(migraphx::make_op("random_seed"));
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<uint64_t> result_vec1(1);
result.visit([&](auto output) { result_vec1.assign(output.begin(), output.end()); });
std::vector<uint64_t> result_vec2(1);
// Identical calls should give different seeds every time with 1/(2^64) chance of a repeat.
// We don't analyze for true randomness.
result = p.eval({}).back();
result.visit([&](auto output) { result_vec2.assign(output.begin(), output.end()); });
EXPECT(result_vec1[0] != result_vec2[0]);
}
test/ref/random_uniform.cpp 0 → 100644
View file @ a045fb19
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2023 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/instruction.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/onnx.hpp>
#include <migraphx/register_target.hpp>
#include <migraphx/verify.hpp>
#include <random>
#include <test.hpp>
/**
* Reference test for the random_uniform operation. Also invokes the random_seed operation.
*/
TEST_CASE(random_uniform_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
uint64_t seed(0);
size_t sample_size(200);
// Shape of the random data
migraphx::shape rs{migraphx::shape::float_type, {1, sample_size}};
// data tensor must be allocated at this point but does not need to be initialized.
std::vector<float> data(sample_size);
auto input = mm->add_literal(migraphx::literal(rs, data));
// Runtime randomization seed
migraphx::shape seed_shape{migraphx::shape::uint64_type, {1}};
std::vector<uint64_t> seed_data{seed};
auto seed_input = mm->add_literal(migraphx::literal(seed_shape, seed_data));
mm->add_instruction(migraphx::make_op("random_uniform"), seed_input, input);
p.compile(migraphx::make_target("ref"));
// no params_map needed
auto result = p.eval({}).back();
std::vector<float> result_vec(sample_size);
result.visit([&](auto output) { result_vec.assign(output.begin(), output.end()); });
// Compare result with the STL's mt19937 generator
std::mt19937 gen(seed);
std::uniform_real_distribution<> dis(0.0, 1.0);
std::vector<float> rand_samples(sample_size);
std::generate(rand_samples.begin(), rand_samples.end(), [&]() { return dis(gen); });
EXPECT(migraphx::verify::verify_range(result_vec, rand_samples, 100));
}
TEST_CASE(random_uniform_int_test)
{
// random uniform distribution with an integer type input shape
migraphx::program p;
auto* mm = p.get_main_module();
float seed(0.1);
size_t sample_size(200);
// Shape of the random data
migraphx::shape rs{migraphx::shape::uint16_type, {1, sample_size}};
// data tensor must be allocated at this point but does not need to be initialized.
std::vector<uint16_t> data(sample_size);
auto input = mm->add_literal(migraphx::literal(rs, data));
// Runtime randomization seed
migraphx::shape seed_shape{migraphx::shape::float_type, {1}};
std::vector<float> seed_data{seed};
auto seed_input = mm->add_literal(migraphx::literal(seed_shape, seed_data));
mm->add_instruction(migraphx::make_op("random_uniform"), seed_input, input);
p.compile(migraphx::make_target("ref"));
migraphx::parameter_map params0;
auto result = p.eval(params0).back();
std::vector<uint16_t> result_vec(sample_size);
result.visit([&](auto output) { result_vec.assign(output.begin(), output.end()); });
// Compare result with the STL's mt19937 generator
std::mt19937 gen(seed);
std::uniform_int_distribution<uint16_t> dis;
std::vector<uint16_t> rand_samples(sample_size);
std::generate(rand_samples.begin(), rand_samples.end(), [&]() { return dis(gen); });
EXPECT(migraphx::verify::verify_range(result_vec, rand_samples));
}
TEST_CASE(random_uniform_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
uint64_t seed(17);
size_t sample_size(200);
// Shape of the random data
migraphx::shape rs{migraphx::shape::float_type, {{1, 2}, {2, sample_size + 1}}};
auto input = mm->add_parameter("Input_1", rs);
// Runtime randomization seed
migraphx::shape seed_shape{migraphx::shape::uint64_type, {1}};
auto seed_input = mm->add_parameter("Seed", seed_shape);
mm->add_instruction(migraphx::make_op("random_uniform", {}), seed_input, input);
p.compile(migraphx::make_target("ref"));
// Create a dummy input to hold the random data
migraphx::shape input_fixed_shape1{migraphx::shape::float_type, {sample_size}};
migraphx::parameter_map params0;
params0["Input_1"] = migraphx::argument(input_fixed_shape1);
std::vector<uint64_t> seed_data = {seed};
params0["Seed"] = migraphx::argument(seed_shape, seed_data.data());
auto result = p.eval(params0).back();
std::vector<float> result_vec(sample_size);
result.visit([&](auto output) { result_vec.assign(output.begin(), output.end()); });
// Compare result with the STL's mt19937 generator
std::mt19937 gen(seed);
std::uniform_real_distribution<> dis(0.0, 1.0);
std::vector<float> rand_samples(sample_size);
std::generate(rand_samples.begin(), rand_samples.end(), [&]() { return dis(gen); });
EXPECT(migraphx::verify::verify_range(result_vec, rand_samples));
}
TEST_CASE(random_uniform_and_seed_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
size_t sample_size(20000);
// Shape of the random data
migraphx::shape rs{migraphx::shape::float_type, {{1, 2}, {2, sample_size + 1}}};
auto input = mm->add_parameter("Input_1", rs);
// Runtime randomization seed
auto seed_input = mm->add_instruction(migraphx::make_op("random_seed"));
mm->add_instruction(migraphx::make_op("random_uniform"), seed_input, input);
p.compile(migraphx::make_target("ref"));
// Create a dummy input to hold the random data
migraphx::shape input_fixed_shape1{migraphx::shape::float_type, {sample_size}};
migraphx::parameter_map params0;
params0["Input_1"] = migraphx::argument(input_fixed_shape1);
auto result = p.eval(params0).back();
result.visit([&](auto output) { EXPECT(output.size() == sample_size); });
// Do not check the content of the data since it's not repeatable
}
test/ref/recip.cpp 0 → 100644
View file @ a045fb19
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2023 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/instruction.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/program.hpp>
#include <migraphx/register_target.hpp>
#include <migraphx/verify.hpp>
#include <test.hpp>
TEST_CASE(recip_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::double_type, {3}};
std::vector<float> data{-0.5f, 0.1f, 0.5f};
auto l = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(migraphx::make_op("recip"), l);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector(3);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {-2.0f, 10.0f, 2.0f};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(recip_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape::dynamic_dimension dd{3, 8};
migraphx::shape s{migraphx::shape::float_type, {dd}};
auto input = mm->add_parameter("X", s);
mm->add_instruction(migraphx::make_op("recip"), input);
p.compile(migraphx::make_target("ref"));
std::vector<float> input_data{-0.5f, 0.1f, 0.5f};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {3}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
auto result = p.eval(params0).back();
std::vector<float> results_vector(3);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {-2.0f, 10.0f, 2.0f};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
test/ref/reduce_max.cpp 0 → 100644
View file @ a045fb19
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2023 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/instruction.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/program.hpp>
#include <migraphx/register_target.hpp>
#include <migraphx/verify.hpp>
#include <test.hpp>
TEST_CASE(reduce_max_axis0)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("reduce_max", {{"axes", {0}}}), l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{9, 10, 11, 12};
EXPECT(results_vector == gold);
}
TEST_CASE(reduce_max_dynamic_axis0)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {{2, 4, {2}}, {3, 5, {3}}}};
auto input = mm->add_parameter("X", s);
auto reduce_max_op = migraphx::make_op("reduce_max", {{"axes", {0}}});
mm->add_instruction(reduce_max_op, input);
p.compile(migraphx::make_target("ref"));
migraphx::parameter_map params;
migraphx::shape input_fixed_shape{migraphx::shape::float_type, {2, 5}};
std::vector<float> input_data{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
params["X"] = migraphx::argument(input_fixed_shape, input_data.data());
auto result = p.eval(params).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {6, 7, 8, 9, 10};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(reduce_max_axis01)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("reduce_max", {{"axes", {0, 1}}}), l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{11, 12};
EXPECT(results_vector == gold);
}
TEST_CASE(reduce_max_axis02)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("reduce_max", {{"axes", {0, 2}}}), l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{10, 12};
EXPECT(results_vector == gold);
}
test/ref/reduce_mean.cpp 0 → 100644
View file @ a045fb19
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2023 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/instruction.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/program.hpp>
#include <migraphx/register_target.hpp>
#include <migraphx/verify.hpp>
#include <test.hpp>
TEST_CASE(reduce_mean_axis02)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("reduce_mean", {{"axes", {0, 2}}}), l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{5.5, 7.5};
EXPECT(results_vector == gold);
}
TEST_CASE(reduce_mean_axis1)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("reduce_mean", {{"axes", {1}}}), l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{2, 3, 6, 7, 10, 11};
EXPECT(results_vector == gold);
}
TEST_CASE(reduce_mean_axis12)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("reduce_mean", {{"axes", {1, 2}}}), l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{2.5f, 6.5f, 10.5f};
EXPECT(results_vector == gold);
}
TEST_CASE(reduce_mean_axis2)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("reduce_mean", {{"axes", {2}}}), l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{1.5f, 3.5f, 5.5f, 7.5f, 9.5f, 11.5f};
EXPECT(results_vector == gold);
}
TEST_CASE(reduce_mean_int)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::int32_type, {3, 2, 2}};
auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("reduce_mean", {{"axes", {1, 2}}}), l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<int> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<int> gold{2, 6, 10};
EXPECT(results_vector == gold);
}
test/ref/reduce_min.cpp 0 → 100644
View file @ a045fb19
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2023 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/instruction.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/program.hpp>
#include <migraphx/register_target.hpp>
#include <migraphx/verify.hpp>
#include <test.hpp>
TEST_CASE(reduce_min_axis02)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("reduce_min", {{"axes", {0, 2}}}), l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{1, 3};
EXPECT(results_vector == gold);
}
TEST_CASE(reduce_min_axis1)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("reduce_min", {{"axes", {1}}}), l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{1, 2, 5, 6, 9, 10};
EXPECT(results_vector == gold);
}
TEST_CASE(reduce_min_axis12)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("reduce_min", {{"axes", {1, 2}}}), l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{1, 5, 9};
EXPECT(results_vector == gold);
}
test/ref/reduce_prod.cpp 0 → 100644
View file @ a045fb19
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2023 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/instruction.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/program.hpp>
#include <migraphx/register_target.hpp>
#include <migraphx/verify.hpp>
#include <test.hpp>
TEST_CASE(reduce_prod_axis0)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {4, 2, 2}};
auto input = migraphx::literal{s, {1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 3, 2, 3}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("reduce_prod", {{"axes", {0}}}), l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{6, 18, 12, 18};
EXPECT(results_vector == gold);
}
test/ref/reduce_sum.cpp 0 → 100644
View file @ a045fb19
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2023 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/instruction.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/program.hpp>
#include <migraphx/register_target.hpp>
#include <migraphx/verify.hpp>
#include <test.hpp>
TEST_CASE(reduce_sum_axis0)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("reduce_sum", {{"axes", {0}}}), l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{15, 18, 21, 24};
EXPECT(results_vector == gold);
}
TEST_CASE(reduce_sum_axis02)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("reduce_sum", {{"axes", {0, 2}}}), l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{33, 45};
EXPECT(results_vector == gold);
}
TEST_CASE(reduce_sum_axis1)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("reduce_sum", {{"axes", {1}}}), l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{4, 6, 12, 14, 20, 22};
EXPECT(results_vector == gold);
}
TEST_CASE(reduce_sum_axis12)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("reduce_sum", {{"axes", {1, 2}}}), l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{10, 26, 42};
EXPECT(results_vector == gold);
}
TEST_CASE(reduce_sum_axis2)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3, 2, 2}};
auto input = migraphx::literal{s, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}};
auto l0 = mm->add_literal(input);
mm->add_instruction(migraphx::make_op("reduce_sum", {{"axes", {2}}}), l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{3, 7, 11, 15, 19, 23};
EXPECT(results_vector == gold);
}
test/ref/relu.cpp 0 → 100644
View file @ a045fb19
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2023 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/instruction.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/program.hpp>
#include <migraphx/register_target.hpp>
#include <migraphx/verify.hpp>
#include <test.hpp>
TEST_CASE(relu_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3}};
auto l = mm->add_literal(migraphx::literal{s, {-1.f, 0.f, 1.f}});
mm->add_instruction(migraphx::make_op("relu"), l);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector(3);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {0.f, 0.f, 1.f};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(relu_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape::dynamic_dimension dd{3, 8};
migraphx::shape s{migraphx::shape::float_type, {dd}};
auto input = mm->add_parameter("X", s);
mm->add_instruction(migraphx::make_op("relu"), input);
p.compile(migraphx::make_target("ref"));
std::vector<float> input_data{-1.f, 0.f, 1.f};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {3}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
auto result = p.eval(params0).back();
std::vector<float> results_vector(3);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {0.f, 0.f, 1.f};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
test/ref/reshape.cpp 0 → 100644
View file @ a045fb19
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2023 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/instruction.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/program.hpp>
#include <migraphx/register_target.hpp>
#include <migraphx/verify.hpp>
#include <test.hpp>
TEST_CASE(reshape_test0)
{
migraphx::shape a_shape{migraphx::shape::float_type, {24, 1, 1, 1}};
std::vector<float> data(24);
std::iota(data.begin(), data.end(), -3);
migraphx::program p;
auto* mm = p.get_main_module();
auto l = mm->add_literal(migraphx::literal{a_shape, data});
std::vector<int64_t> new_shape = {8, 3, 1, 1};
mm->add_instruction(migraphx::make_op("reshape", {{"dims", new_shape}}), l);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector{};
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_range(results_vector, data));
}
TEST_CASE(reshape_test1)
{
migraphx::shape a_shape{migraphx::shape::float_type, {24, 1, 1, 1}};
std::vector<float> data(24);
std::iota(data.begin(), data.end(), -3);
migraphx::program p;
auto* mm = p.get_main_module();
auto l = mm->add_literal(migraphx::literal{a_shape, data});
std::vector<int64_t> new_shape = {1, 3, 4, 2};
mm->add_instruction(migraphx::make_op("reshape", {{"dims", new_shape}}), l);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector{};
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_range(results_vector, data));
}
TEST_CASE(reshape_test2)
{
migraphx::shape a_shape{migraphx::shape::float_type, {24, 1, 1, 1}};
std::vector<float> data(24);
std::iota(data.begin(), data.end(), -3);
migraphx::program p;
auto* mm = p.get_main_module();
auto l = mm->add_literal(migraphx::literal{a_shape, data});
std::vector<int64_t> new_shape = {1, 2, 3, 4};
mm->add_instruction(migraphx::make_op("reshape", {{"dims", new_shape}}), l);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector{};
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_range(results_vector, data));
}
TEST_CASE(reshape_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {{1, 4}, {24, 24}, {1, 1}, {1, 1}}};
std::vector<int64_t> new_shape = {0, 8, 3, 1};
auto input = mm->add_parameter("X", s);
mm->add_instruction(migraphx::make_op("reshape", {{"dims", new_shape}}), input);
p.compile(migraphx::make_target("ref"));
std::vector<float> data(48);
std::iota(data.begin(), data.end(), -3);
migraphx::parameter_map params;
migraphx::shape input_fixed_shape{migraphx::shape::float_type, {2, 24, 1, 1}};
params["X"] = migraphx::argument(input_fixed_shape, data.data());
auto result = p.eval(params).back();
std::vector<float> results_vector{};
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_range(results_vector, data));
}
test/ref/reverse.cpp 0 → 100644
View file @ a045fb19
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2023 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/instruction.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/program.hpp>
#include <migraphx/register_target.hpp>
#include <migraphx/verify.hpp>
#include <test.hpp>
TEST_CASE(reverse_test_axis0)
{
migraphx::shape in_shape{migraphx::shape::float_type, {2, 16}};
std::vector<float> data(32);
std::iota(data.begin(), data.end(), 1);
migraphx::program p;
auto* mm = p.get_main_module();
auto l = mm->add_literal(migraphx::literal{in_shape, data});
std::vector<int> axes = {0};
mm->add_instruction(migraphx::make_op("reverse", {{"axes", axes}}), l);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> target_data = data;
std::swap_ranges(target_data.begin(), target_data.begin() + 16, target_data.begin() + 16);
EXPECT(migraphx::verify::verify_range(results_vector, target_data));
}
TEST_CASE(reverse_test_axis1)
{
migraphx::shape in_shape{migraphx::shape::float_type, {2, 16}};
std::vector<float> data(32);
std::iota(data.begin(), data.end(), 1);
migraphx::program p;
auto* mm = p.get_main_module();
auto l = mm->add_literal(migraphx::literal{in_shape, data});
std::vector<int> axes = {1};
mm->add_instruction(migraphx::make_op("reverse", {{"axes", axes}}), l);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> target_data = data;
std::reverse(target_data.begin(), target_data.begin() + 16);
std::reverse(target_data.end() - 16, target_data.end());
EXPECT(migraphx::verify::verify_range(results_vector, target_data));
}
TEST_CASE(reverse_test_axis10)
{
migraphx::shape in_shape{migraphx::shape::float_type, {2, 16}};
std::vector<float> data(32);
std::iota(data.begin(), data.end(), 1);
migraphx::program p;
auto* mm = p.get_main_module();
auto l = mm->add_literal(migraphx::literal{in_shape, data});
std::vector<int> axes = {1, 0};
mm->add_instruction(migraphx::make_op("reverse", {{"axes", axes}}), l);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> target_data = data;
std::reverse(target_data.begin(), target_data.begin() + 16);
std::reverse(target_data.end() - 16, target_data.end());
std::swap_ranges(target_data.begin(), target_data.begin() + 16, target_data.begin() + 16);
EXPECT(migraphx::verify::verify_range(results_vector, target_data));
}
test/ref_rnn_ops_test.cpp → test/ref/rnn_ops.cpp
View file @ a045fb19
......@@ -21,18 +21,13 @@
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
#include <iostream>
#include <vector>
#include <migraphx/instruction.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/op/common.hpp>
#include <migraphx/instruction.hpp>
#include <migraphx/program.hpp>
#include <migraphx/register_target.hpp>
#include <migraphx/verify.hpp>
#include <migraphx/onnx.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/quantization.hpp>
#include <migraphx/serialize.hpp>
#include "test.hpp"
......@@ -400,7 +395,6 @@ TEST_CASE(rnn_reverse)
migraphx::shape ih_shape{migraphx::shape::float_type, {num_dirct, batch_size, hidden_size}};
// concatenation of hidden states as program output
{
migraphx::program p;
auto* mm = p.get_main_module();
auto seq = mm->add_literal(migraphx::literal{in_shape, input});
......@@ -4989,5 +4983,3 @@ TEST_CASE(lstm_fp16)
0.135643, -0.0566208, 0.142701, 0.0342236, -0.198664, 0.0702607};
EXPECT(migraphx::verify::verify_range(hs_data, hs_data_gold, 5e4));
}
int main(int argc, const char* argv[]) { test::run(argc, argv); }
test/ref/roialign.cpp 0 → 100644
View file @ a045fb19
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2023 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/instruction.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/program.hpp>
#include <migraphx/op/pooling.hpp>
#include <migraphx/register_target.hpp>
#include <migraphx/verify.hpp>
#include <test.hpp>
TEST_CASE(roialign_out_of_bound_test)
{
auto create_program = [](const std::string& trans_mode = "half_pixel") {
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape x_s{migraphx::shape::float_type, {1, 1, 10, 10}};
std::vector<float> x_vec = {
0.2764, 0.7150, 0.1958, 0.3416, 0.4638, 0.0259, 0.2963, 0.6518, 0.4856, 0.7250,
0.9637, 0.0895, 0.2919, 0.6753, 0.0234, 0.6132, 0.8085, 0.5324, 0.8992, 0.4467,
0.3265, 0.8479, 0.9698, 0.2471, 0.9336, 0.1878, 0.4766, 0.4308, 0.3400, 0.2162,
0.0206, 0.1720, 0.2155, 0.4394, 0.0653, 0.3406, 0.7724, 0.3921, 0.2541, 0.5799,
0.4062, 0.2194, 0.4473, 0.4687, 0.7109, 0.9327, 0.9815, 0.6320, 0.1728, 0.6119,
0.3097, 0.1283, 0.4984, 0.5068, 0.4279, 0.0173, 0.4388, 0.0430, 0.4671, 0.7119,
0.1011, 0.8477, 0.4726, 0.1777, 0.9923, 0.4042, 0.1869, 0.7795, 0.9946, 0.9689,
0.1366, 0.3671, 0.7011, 0.6234, 0.9867, 0.5585, 0.6985, 0.5609, 0.8788, 0.9928,
0.5697, 0.8511, 0.6711, 0.9406, 0.8751, 0.7496, 0.1650, 0.1049, 0.1559, 0.2514,
0.7012, 0.4056, 0.7879, 0.3461, 0.0415, 0.2998, 0.5094, 0.3727, 0.5482, 0.0502};
migraphx::shape roi_s{migraphx::shape::float_type, {3, 4}};
std::vector<float> roi_vec = {0, 0, 9.99, 9.99, 0, 5, 4, 9, 5, 5, 9.9, 9.9};
migraphx::shape ind_s{migraphx::shape::int64_type, {3}};
std::vector<int64_t> ind_vec = {0, 0, 0};
auto x = mm->add_literal(migraphx::literal(x_s, x_vec));
auto roi = mm->add_literal(migraphx::literal(roi_s, roi_vec));
auto ind = mm->add_literal(migraphx::literal(ind_s, ind_vec));
auto r =
mm->add_instruction(migraphx::make_op("roialign",
{{"coordinate_transformation_mode", trans_mode},
{"spatial_scale", 5.0},
{"output_height", 1},
{"output_width", 1},
{"sampling_ratio", 1}}),
x,
roi,
ind);
mm->add_return({r});
return p;
};
{
auto p = create_program("half_pixel");
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {0.0f, 0.0f, 0.0f};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
}
TEST_CASE(roialign_test)
{
auto create_program = [](const std::string& trans_mode = "half_pixel",
const migraphx::op::pooling_mode pooling_mode =
migraphx::op::pooling_mode::average,
int64_t sampling_ratio = 2) {
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape x_s{migraphx::shape::float_type, {1, 1, 10, 10}};
std::vector<float> x_vec = {
0.2764, 0.7150, 0.1958, 0.3416, 0.4638, 0.0259, 0.2963, 0.6518, 0.4856, 0.7250,
0.9637, 0.0895, 0.2919, 0.6753, 0.0234, 0.6132, 0.8085, 0.5324, 0.8992, 0.4467,
0.3265, 0.8479, 0.9698, 0.2471, 0.9336, 0.1878, 0.4766, 0.4308, 0.3400, 0.2162,
0.0206, 0.1720, 0.2155, 0.4394, 0.0653, 0.3406, 0.7724, 0.3921, 0.2541, 0.5799,
0.4062, 0.2194, 0.4473, 0.4687, 0.7109, 0.9327, 0.9815, 0.6320, 0.1728, 0.6119,
0.3097, 0.1283, 0.4984, 0.5068, 0.4279, 0.0173, 0.4388, 0.0430, 0.4671, 0.7119,
0.1011, 0.8477, 0.4726, 0.1777, 0.9923, 0.4042, 0.1869, 0.7795, 0.9946, 0.9689,
0.1366, 0.3671, 0.7011, 0.6234, 0.9867, 0.5585, 0.6985, 0.5609, 0.8788, 0.9928,
0.5697, 0.8511, 0.6711, 0.9406, 0.8751, 0.7496, 0.1650, 0.1049, 0.1559, 0.2514,
0.7012, 0.4056, 0.7879, 0.3461, 0.0415, 0.2998, 0.5094, 0.3727, 0.5482, 0.0502};
migraphx::shape roi_s{migraphx::shape::float_type, {3, 4}};
std::vector<float> roi_vec = {0, 0, 9, 9, 0, 5, 4, 9, 5, 5, 9, 9};
migraphx::shape ind_s{migraphx::shape::int64_type, {3}};
std::vector<int64_t> ind_vec = {0, 0, 0};
auto x = mm->add_literal(migraphx::literal(x_s, x_vec));
auto roi = mm->add_literal(migraphx::literal(roi_s, roi_vec));
auto ind = mm->add_literal(migraphx::literal(ind_s, ind_vec));
auto r =
mm->add_instruction(migraphx::make_op("roialign",
{{"coordinate_transformation_mode", trans_mode},
{"spatial_scale", 1.0},
{"output_height", 5},
{"output_width", 5},
{"sampling_ratio", sampling_ratio},
{"mode", pooling_mode}}),
x,
roi,
ind);
mm->add_return({r});
return p;
};
{
auto p = create_program("output_half_pixel");
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {
0.466421425, 0.446552634, 0.340521216, 0.568848491, 0.606780827, 0.371379346,
0.429571986, 0.383519977, 0.556241512, 0.351050019, 0.27680251, 0.488286227,
0.522200167, 0.552770197, 0.417057365, 0.471240699, 0.4844096, 0.690457463,
0.492039412, 0.877398551, 0.623889625, 0.712461948, 0.628926516, 0.335504025,
0.349469036, 0.302179992, 0.43046391, 0.469585985, 0.39774403, 0.542259991,
0.365552008, 0.704923987, 0.516481996, 0.317131996, 0.701444089, 0.291239977,
0.505897999, 0.647610962, 0.623489916, 0.829879999, 0.591567993, 0.738860011,
0.704825997, 0.837148011, 0.889315963, 0.622680008, 0.615276039, 0.709713995,
0.615356028, 0.458524048, 0.238451958, 0.337952018, 0.371693879, 0.609999895,
0.760059953, 0.376724035, 0.378532052, 0.71468991, 0.924308002, 0.972783983,
0.574903965, 0.582623959, 0.570936024, 0.761904061, 0.876998067, 0.535508037,
0.256580025, 0.214098021, 0.279604018, 0.360000014, 0.436488032, 0.350427985,
0.288755983, 0.366139978, 0.234920025};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
{
auto p = create_program("half_pixel");
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {
0.517783, 0.343411, 0.322905, 0.447362, 0.634375, 0.40308, 0.536647, 0.442791,
0.486144, 0.402313, 0.251194, 0.400154, 0.515524, 0.695369, 0.346537, 0.33504,
0.460099, 0.588069, 0.343863, 0.684932, 0.49319, 0.714058, 0.821744, 0.471935,
0.403946, 0.306955, 0.218678, 0.33369, 0.488001, 0.486962, 0.18709, 0.49142,
0.55611, 0.419167, 0.368608, 0.143278, 0.460835, 0.597125, 0.53096, 0.498207,
0.278818, 0.438569, 0.6022, 0.700038, 0.752436, 0.577385, 0.702383, 0.725097,
0.733754, 0.816304, 0.23933, 0.407514, 0.337893, 0.252521, 0.474335, 0.367075,
0.270168, 0.41051, 0.64189, 0.830777, 0.55564, 0.454295, 0.55645, 0.75015,
0.929997, 0.66257, 0.561664, 0.481275, 0.495449, 0.666306, 0.663573, 0.372107,
0.205603, 0.192776, 0.247849};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
{
auto p = create_program("half_pixel", migraphx::op::pooling_mode::max, 0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {
0.819145, 0.373103, 0.258302, 0.515419, 0.726104, 0.540536, 0.545512, 0.38511,
0.376545, 0.274635, 0.22341, 0.184511, 0.230843, 0.404869, 0.29546, 0.540409,
0.265838, 0.409324, 0.213915, 0.708654, 0.687264, 0.580821, 0.461283, 0.462879,
0.709632, 0.27873, 0.083619, 0.22428, 0.313992, 0.410508, 0.0929099, 0.415373,
0.296695, 0.231574, 0.136836, 0.0683, 0.296695, 0.211925, 0.245385, 0.28053,
0.17091, 0.179879, 0.245385, 0.343539, 0.392742, 0.51273, 0.536193, 0.382995,
0.422793, 0.761886, 0.0839429, 0.276444, 0.19746, 0.126117, 0.378351, 0.254646,
0.092148, 0.272825, 0.381955, 0.626599, 0.251325, 0.244475, 0.194875, 0.272825,
0.44757, 0.351855, 0.342265, 0.244475, 0.274841, 0.553644, 0.607176, 0.202392,
0.07425, 0.066087, 0.126279};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
}
test/ref/round.cpp 0 → 100644
View file @ a045fb19
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2023 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/instruction.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/program.hpp>
#include <migraphx/register_target.hpp>
#include <migraphx/verify.hpp>
#include <test.hpp>
TEST_CASE(round_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {9}};
auto l =
mm->add_literal(migraphx::literal{s, {1.1, 1.5, 1.6, -1.1, -1.5, -1.6, 0.0, 2.0, -2.0}});
mm->add_instruction(migraphx::make_op("round"), l);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {1.0, 2.0, 2.0, -1.0, -2.0, -2.0, 0.0, 2.0, -2.0};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(round_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape::dynamic_dimension dd{4, 10};
migraphx::shape s{migraphx::shape::float_type, {dd}};
auto input = mm->add_parameter("X", s);
mm->add_instruction(migraphx::make_op("round"), input);
p.compile(migraphx::make_target("ref"));
std::vector<float> input_data{1.1, 1.5, 1.6, -1.1, -1.5, -1.6, 0.0, 2.0, -2.0};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {9}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
auto result = p.eval(params0).back();
std::vector<float> results_vector;
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {1.0, 2.0, 2.0, -1.0, -2.0, -2.0, 0.0, 2.0, -2.0};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
test/ref/rsqrt.cpp 0 → 100644
View file @ a045fb19
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2023 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/instruction.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/program.hpp>
#include <migraphx/register_target.hpp>
#include <migraphx/verify.hpp>
#include <test.hpp>
TEST_CASE(rsqrt_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3}};
auto l = mm->add_literal(migraphx::literal{s, {4.0, 16.0, 64.0}});
mm->add_instruction(migraphx::make_op("rsqrt"), l);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector(3);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {0.5, 0.25, 0.125};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(rsqrt_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape::dynamic_dimension dd{3, 8};
migraphx::shape s{migraphx::shape::float_type, {dd}};
auto input = mm->add_parameter("X", s);
mm->add_instruction(migraphx::make_op("rsqrt"), input);
p.compile(migraphx::make_target("ref"));
std::vector<float> input_data{4.0, 16.0, 64.0};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {3}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
auto result = p.eval(params0).back();
std::vector<float> results_vector(3);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {0.5, 0.25, 0.125};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
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