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Unverified Commit 0c98c38e authored by Ted Themistokleous's avatar Ted Themistokleous Committed by GitHub
Browse files

Merge branch 'develop' into enable_navi_32_ci

parents 1612d8f3 64b306ab
/*
* 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 <test.hpp>
// reduction_mode: "scatter_none", "scatter_add", "scatter_mul"
migraphx::program create_scatter_program(const std::string& reduction_mode, int axis)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape sd{migraphx::shape::float_type, {3, 3}};
std::vector<float> vd(sd.elements(), 0.0f);
migraphx::shape si{migraphx::shape::int32_type, {2, 3}};
std::vector<int> vi = {1, 0, 2, 0, 2, 1};
migraphx::shape su{migraphx::shape::float_type, {2, 3}};
std::vector<float> vu = {1.0, 1.1, 1.2, 2.0, 2.1, 2.2};
auto ld = mm->add_literal(migraphx::literal{sd, vd});
auto li = mm->add_literal(migraphx::literal{si, vi});
auto lu = mm->add_literal(migraphx::literal{su, vu});
// scatter_none, formerly the scatter op
auto r = mm->add_instruction(migraphx::make_op(reduction_mode, {{"axis", axis}}), ld, li, lu);
mm->add_return({r});
return p;
}
TEST_CASE(scatter_ax0_test)
{
// this tests what used to be the only scatter op, now changed to 3 sub-ops
// which have their own test case
{
migraphx::program p = create_scatter_program("scatter_none", 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 = {2.0, 1.1, 0.0, 1.0, 0.0, 2.2, 0.0, 2.1, 1.2};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
}
TEST_CASE(scatter_ax_neg_test)
{
{
migraphx::program p = create_scatter_program("scatter_none", -2);
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, 1.1, 0.0, 1.0, 0.0, 2.2, 0.0, 2.1, 1.2};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
}
TEST_CASE(scatter_ax1_test)
{
{
migraphx::program p = create_scatter_program("scatter_none", 1);
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 = {1.1, 1.0, 1.2, 2.0, 2.2, 2.1, 0.0, 0.0, 0.0};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
}
// similar to create_scatter_program but with different tensor values
// reduction_mode: "scatter_none", "scatter_add", "scatter_mul"
migraphx::program create_scatter_program2(const std::string& reduction_mode, int axis)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape sd{migraphx::shape::float_type, {1, 5}};
std::vector<float> vd({1., 2., 3., 4., 5.});
migraphx::shape si{migraphx::shape::int32_type, {1, 2}};
std::vector<int> vi = {1, 3};
migraphx::shape su{migraphx::shape::float_type, {1, 2}};
std::vector<float> vu = {1.1, 2.1};
auto ld = mm->add_literal(migraphx::literal{sd, vd});
auto li = mm->add_literal(migraphx::literal{si, vi});
auto lu = mm->add_literal(migraphx::literal{su, vu});
auto r = mm->add_instruction(migraphx::make_op(reduction_mode, {{"axis", axis}}), ld, li, lu);
mm->add_return({r});
return p;
}
TEST_CASE(scatter_reduction1_test)
{
{
// Test sub-ops for the three reduction values scatter_none, scatter_add, scatter_mul
migraphx::program p = create_scatter_program2("scatter_none", 1);
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_none = {1.0, 1.1, 3.0, 2.1, 5.0};
EXPECT(migraphx::verify::verify_range(results_vector, gold_none));
}
}
TEST_CASE(scatter_reduction2_test)
{
{
migraphx::program p = create_scatter_program2("scatter_mul", 1);
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_mul = {1.0, 2.2, 3.0, 8.4, 5.0};
EXPECT(migraphx::verify::verify_range(results_vector, gold_mul));
}
}
TEST_CASE(scatter_reduction3_test)
{
{
migraphx::program p = create_scatter_program2("scatter_add", 1);
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_add = {1.0, 3.1, 3.0, 6.1, 5.0};
EXPECT(migraphx::verify::verify_range(results_vector, gold_add));
}
}
TEST_CASE(scatter_reduction_3x3_test)
{
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape sd{migraphx::shape::float_type, {3, 3}};
std::vector<float> vd(sd.elements(), 3.0f);
migraphx::shape si{migraphx::shape::int32_type, {2, 3}};
std::vector<int> vi = {1, 0, 2, 0, 2, 1};
migraphx::shape su{migraphx::shape::float_type, {2, 3}};
std::vector<float> vu = {1.0, 1.1, 1.2, 7.0, 7.1, 7.2};
auto ld = mm->add_literal(migraphx::literal{sd, vd});
auto li = mm->add_literal(migraphx::literal{si, vi});
auto lu = mm->add_literal(migraphx::literal{su, vu});
auto r = mm->add_instruction(migraphx::make_op("scatter_add", {{"axis", 1}}), ld, li, lu);
mm->add_return({r});
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_a2 = {4.1, 4.0, 4.2, 10.0, 10.2, 10.1, 3.0, 3.0, 3.0};
EXPECT(migraphx::verify::verify_range(results_vector, gold_a2));
}
}
// create a test scatter program with a 3x3 tensor;
// su and si are transposed from previous case
migraphx::program create_scatter_program_3x3(const std::string& reduction_mode, int axis)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape sd{migraphx::shape::float_type, {3, 3}};
std::vector<float> vd(sd.elements(), 3.0f);
migraphx::shape si{migraphx::shape::int32_type, {3, 2}};
std::vector<int> vi = {1, 0, 0, 2, 2, 1};
migraphx::shape su{migraphx::shape::float_type, {3, 2}};
std::vector<float> vu = {1.0, 7.0, 1.1, 7.1, 1.2, 7.2};
auto ld = mm->add_literal(migraphx::literal{sd, vd});
auto li = mm->add_literal(migraphx::literal{si, vi});
auto lu = mm->add_literal(migraphx::literal{su, vu});
auto r = mm->add_instruction(migraphx::make_op(reduction_mode, {{"axis", axis}}), ld, li, lu);
mm->add_return({r});
return p;
}
TEST_CASE(scatter_reduction_3x3_xpose1_test)
{
// test on vertical (0) axis. su and si are transposed from previous case
{
migraphx::program p = create_scatter_program_3x3("scatter_none", 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_none2 = {1.1, 7.0, 3.0, 1.0, 7.2, 3.0, 1.2, 7.1, 3.0};
EXPECT(migraphx::verify::verify_range(results_vector, gold_none2));
}
}
TEST_CASE(scatter_reduction_3x3_xpose2_test)
{
// test on vertical (0) axis.
{
migraphx::program p = create_scatter_program_3x3("scatter_add", 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_a3 = {4.1, 10.0, 3.0, 4.0, 10.2, 3.0, 4.2, 10.1, 3.0};
EXPECT(migraphx::verify::verify_range(results_vector, gold_a3));
}
}
TEST_CASE(scatter_reduction_3x3_xpose3_test)
{
{
migraphx::program p = create_scatter_program_3x3("scatter_mul", 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_mul2 = {3.3, 21.0, 3.0, 3.0, 21.6, 3.0, 3.6, 21.3, 3.0};
EXPECT(migraphx::verify::verify_range(results_vector, gold_mul2));
}
}
/*
* 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 <test.hpp>
TEST_CASE(scatternd_add_reduction_test)
{
// reduction = add
migraphx::program p;
auto* mm = p.get_main_module();
auto dtype = migraphx::shape::float_type;
auto itype = migraphx::shape::int64_type;
migraphx::shape ds{dtype, {8}};
migraphx::shape is{itype, {8, 1}};
migraphx::shape us{dtype, {8}};
std::vector<float> data_vec{1, 2, 3, 4, 5, 6, 7, 8};
std::vector<int64_t> ind_vec{4, 3, 1, 7, 4, 3, 1, 7};
std::vector<float> upd_vec{9, 10, 11, 12, -8, -9, -10, -11};
auto data = mm->add_literal(migraphx::literal{ds, data_vec});
auto indices = mm->add_literal(migraphx::literal{is, ind_vec});
auto updates = mm->add_literal(migraphx::literal{us, upd_vec});
auto scatternd =
mm->add_instruction(migraphx::make_op("scatternd_add"), data, indices, updates);
mm->add_return({scatternd});
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, 3, 5, 6, 6, 7, 9};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(scatternd_reduction_dyn_test)
{
// reduction = add, with dynamic input shapes
migraphx::program p;
auto* mm = p.get_main_module();
auto dtype = migraphx::shape::float_type;
auto itype = migraphx::shape::int64_type;
migraphx::shape::dynamic_dimension dd{3, 6};
migraphx::shape ds{migraphx::shape::float_type, {dd, dd, dd}};
migraphx::shape is{itype, {2, 1}};
migraphx::shape us{dtype, {{2, 2}, dd, dd}};
auto xdata = mm->add_parameter("X", ds);
auto xindex = mm->add_parameter("I", is);
auto xupdates = mm->add_parameter("U", us);
auto scatternd_add_op = migraphx::make_op("scatternd_add");
auto scatternd = mm->add_instruction(scatternd_add_op, xdata, xindex, xupdates);
mm->add_return({scatternd});
p.compile(migraphx::make_target("ref"));
migraphx::parameter_map params;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {4, 4, 4}}; // data
std::vector<float> input_data{1, 2, 3, 4, 5, 6, 7, 8, 8, 7, 6, 5, 4, 3, 2, 1, 1, 2, 3, 4, 5, 6,
7, 8, 8, 7, 6, 5, 4, 3, 2, 1, 8, 7, 6, 5, 4, 3, 2, 1, 1, 2, 3, 4,
5, 6, 7, 8, 8, 7, 6, 5, 4, 3, 2, 1, 1, 2, 3, 4, 5, 6, 7, 8};
std::vector<uint64_t> input_index{0, 2};
migraphx::shape input_fixed_shape1{migraphx::shape::float_type, {2, 4, 4}}; // updates
std::vector<float> input_updates{5, 5, 5, 5, 6, 6, 6, 6, 7, 7, 7, 7, 8, 8, 8, 8,
1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4};
params["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
params["I"] = migraphx::argument(is, input_index.data());
params["U"] = migraphx::argument(input_fixed_shape1, input_updates.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, 11, 12, 13, 14, 15, 14, 13, 12, 12, 11, 10, 9,
1, 2, 3, 4, 5, 6, 7, 8, 8, 7, 6, 5, 4, 3, 2, 1,
9, 8, 7, 6, 6, 5, 4, 3, 4, 5, 6, 7, 9, 10, 11, 12,
8, 7, 6, 5, 4, 3, 2, 1, 1, 2, 3, 4, 5, 6, 7, 8};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
/*
* 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 <test.hpp>
TEST_CASE(scatternd_mul_reduction_test)
{
// reduction = mul
migraphx::program p;
auto* mm = p.get_main_module();
auto dtype = migraphx::shape::float_type;
auto itype = migraphx::shape::int64_type;
migraphx::shape ds{dtype, {8}};
migraphx::shape is{itype, {4, 1}};
migraphx::shape us{dtype, {4}};
std::vector<float> data_vec{1, 2, 3, 4, 5, 6, 7, 8};
std::vector<int64_t> ind_vec{4, 3, 1, 7};
std::vector<float> upd_vec{9, 10, 11, 12};
auto data = mm->add_literal(migraphx::literal{ds, data_vec});
auto indices = mm->add_literal(migraphx::literal{is, ind_vec});
auto updates = mm->add_literal(migraphx::literal{us, upd_vec});
auto scatternd =
mm->add_instruction(migraphx::make_op("scatternd_mul"), data, indices, updates);
mm->add_return({scatternd});
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, 22, 3, 40, 45, 6, 7, 96};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
/*
* 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 <test.hpp>
TEST_CASE(scatternd_shapes_test_1)
{
// broadcasted input
migraphx::program p;
auto* mm = p.get_main_module();
auto dtype = migraphx::shape::float_type;
auto itype = migraphx::shape::int64_type;
migraphx::shape is{itype, {4, 1}};
migraphx::shape us{dtype, {4}};
std::vector<int64_t> ind_vec{4, 3, 1, 7};
std::vector<float> upd_vec{9, 10, 11, 12};
auto data = mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {8}}}),
mm->add_literal(migraphx::literal{0.0f}));
auto indices = mm->add_literal(migraphx::literal{is, ind_vec});
auto updates = mm->add_literal(migraphx::literal{us, upd_vec});
auto scatternd =
mm->add_instruction(migraphx::make_op("scatternd_none"), data, indices, updates);
mm->add_return({scatternd});
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, 11, 0, 10, 9, 0, 0, 12};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(scatternd_shapes_test_2)
{
// non-standard shape input
migraphx::program p;
auto* mm = p.get_main_module();
auto dtype = migraphx::shape::float_type;
auto itype = migraphx::shape::int64_type;
migraphx::shape ds{dtype, {2, 2}};
migraphx::shape is{itype, {2, 2}};
migraphx::shape us{dtype, {2}};
std::vector<float> data_vec{1, 2, 3, 4};
std::vector<int64_t> ind_vec{0, 0, 0, 1};
std::vector<float> upd_vec{5, 6};
auto data = mm->add_literal(migraphx::literal{ds, data_vec});
auto td = mm->add_instruction(migraphx::make_op("transpose", {{"permutation", {1, 0}}}), data);
auto indices = mm->add_literal(migraphx::literal{is, ind_vec});
auto updates = mm->add_literal(migraphx::literal{us, upd_vec});
auto scatternd = mm->add_instruction(migraphx::make_op("scatternd_none"), td, indices, updates);
mm->add_return({scatternd});
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, 6, 2, 4};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(scatternd_shapes_test_3)
{
// non-standard updates shape
migraphx::program p;
auto* mm = p.get_main_module();
auto dtype = migraphx::shape::float_type;
auto itype = migraphx::shape::int64_type;
migraphx::shape ds{dtype, {2, 2, 2}};
migraphx::shape is{itype, {2, 1, 3}};
migraphx::shape us{dtype, {1, 2}};
std::vector<float> data_vec{1, 2, 3, 4, 5, 6, 7, 8};
std::vector<int64_t> ind_vec{0, 0, 0, 1, 1, 1};
std::vector<float> upd_vec{9, 10};
auto data = mm->add_literal(migraphx::literal{ds, data_vec});
auto indices = mm->add_literal(migraphx::literal{is, ind_vec});
auto updates = mm->add_literal(migraphx::literal{us, upd_vec});
auto tu =
mm->add_instruction(migraphx::make_op("transpose", {{"permutation", {1, 0}}}), updates);
auto scatternd = mm->add_instruction(migraphx::make_op("scatternd_none"), data, indices, tu);
mm->add_return({scatternd});
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, 2, 3, 4, 5, 6, 7, 10};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(scatternd_test_1)
{
// r=1, q=2, k=1
migraphx::program p;
auto* mm = p.get_main_module();
auto dtype = migraphx::shape::float_type;
auto itype = migraphx::shape::int64_type;
migraphx::shape ds{dtype, {8}};
migraphx::shape is{itype, {4, 1}};
migraphx::shape us{dtype, {4}};
std::vector<float> data_vec{1, 2, 3, 4, 5, 6, 7, 8};
std::vector<int64_t> ind_vec{4, 3, 1, 7};
std::vector<float> upd_vec{9, 10, 11, 12};
auto data = mm->add_literal(migraphx::literal{ds, data_vec});
auto indices = mm->add_literal(migraphx::literal{is, ind_vec});
auto updates = mm->add_literal(migraphx::literal{us, upd_vec});
auto scatternd =
mm->add_instruction(migraphx::make_op("scatternd_none"), data, indices, updates);
mm->add_return({scatternd});
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, 11, 3, 10, 9, 6, 7, 12};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(scatternd_test_2)
{
// r=2, q=2, k=2
migraphx::program p;
auto* mm = p.get_main_module();
auto dtype = migraphx::shape::float_type;
auto itype = migraphx::shape::int64_type;
migraphx::shape ds{dtype, {2, 2}};
migraphx::shape is{itype, {2, 2}};
migraphx::shape us{dtype, {2}};
std::vector<float> data_vec{1, 2, 3, 4};
std::vector<int64_t> ind_vec{0, 0, 0, 1};
std::vector<float> upd_vec{5, 6};
auto data = mm->add_literal(migraphx::literal{ds, data_vec});
auto indices = mm->add_literal(migraphx::literal{is, ind_vec});
auto updates = mm->add_literal(migraphx::literal{us, upd_vec});
auto scatternd =
mm->add_instruction(migraphx::make_op("scatternd_none"), data, indices, updates);
mm->add_return({scatternd});
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, 6, 3, 4};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(scatternd_test_3)
{
// r=3, q=3, k=3
migraphx::program p;
auto* mm = p.get_main_module();
auto dtype = migraphx::shape::float_type;
auto itype = migraphx::shape::int64_type;
migraphx::shape ds{dtype, {2, 2, 2}};
migraphx::shape is{itype, {2, 1, 3}};
migraphx::shape us{dtype, {2, 1}};
std::vector<float> data_vec{1, 2, 3, 4, 5, 6, 7, 8};
std::vector<int64_t> ind_vec{0, 0, 0, 1, 1, 1};
std::vector<float> upd_vec{9, 10};
auto data = mm->add_literal(migraphx::literal{ds, data_vec});
auto indices = mm->add_literal(migraphx::literal{is, ind_vec});
auto updates = mm->add_literal(migraphx::literal{us, upd_vec});
auto scatternd =
mm->add_instruction(migraphx::make_op("scatternd_none"), data, indices, updates);
mm->add_return({scatternd});
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, 2, 3, 4, 5, 6, 7, 10};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(scatternd_test_4)
{
// r=3, q=2, k=1
migraphx::program p;
auto* mm = p.get_main_module();
auto dtype = migraphx::shape::float_type;
auto itype = migraphx::shape::int64_type;
migraphx::shape ds{dtype, {4, 4, 4}};
migraphx::shape is{itype, {2, 1}};
migraphx::shape us{dtype, {2, 4, 4}};
std::vector<float> data_vec{1, 2, 3, 4, 5, 6, 7, 8, 8, 7, 6, 5, 4, 3, 2, 1, 1, 2, 3, 4, 5, 6,
7, 8, 8, 7, 6, 5, 4, 3, 2, 1, 8, 7, 6, 5, 4, 3, 2, 1, 1, 2, 3, 4,
5, 6, 7, 8, 8, 7, 6, 5, 4, 3, 2, 1, 1, 2, 3, 4, 5, 6, 7, 8};
std::vector<int64_t> ind_vec{0, 2};
std::vector<float> upd_vec{5, 5, 5, 5, 6, 6, 6, 6, 7, 7, 7, 7, 8, 8, 8, 8,
1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4};
auto data = mm->add_literal(migraphx::literal{ds, data_vec});
auto indices = mm->add_literal(migraphx::literal{is, ind_vec});
auto updates = mm->add_literal(migraphx::literal{us, upd_vec});
auto scatternd =
mm->add_instruction(migraphx::make_op("scatternd_none"), data, indices, updates);
mm->add_return({scatternd});
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, 5, 5, 6, 6, 6, 6, 7, 7, 7, 7, 8, 8, 8, 8, 1, 2, 3, 4, 5, 6,
7, 8, 8, 7, 6, 5, 4, 3, 2, 1, 1, 1, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3,
4, 4, 4, 4, 8, 7, 6, 5, 4, 3, 2, 1, 1, 2, 3, 4, 5, 6, 7, 8};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(scatternd_test_5)
{
// r=5, q=1, k=1
migraphx::program p;
auto* mm = p.get_main_module();
auto dtype = migraphx::shape::float_type;
auto itype = migraphx::shape::int64_type;
migraphx::shape ds{dtype, {2, 2, 2, 2, 2}};
migraphx::shape is{itype, {1}};
migraphx::shape us{dtype, {2, 2, 2, 2}};
std::vector<float> data_vec(32, 1);
std::vector<int64_t> ind_vec{1};
std::vector<float> upd_vec(16, 0);
auto data = mm->add_literal(migraphx::literal{ds, data_vec});
auto indices = mm->add_literal(migraphx::literal{is, ind_vec});
auto updates = mm->add_literal(migraphx::literal{us, upd_vec});
auto scatternd =
mm->add_instruction(migraphx::make_op("scatternd_none"), data, indices, updates);
mm->add_return({scatternd});
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(32, 0);
std::copy(data_vec.begin(), data_vec.begin() + 16, gold.begin());
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
/*
* 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 <test.hpp>
TEST_CASE(select_module_add_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape lit_s{migraphx::shape{migraphx::shape::float_type, {1}}};
auto literal_ins = mm->add_literal(migraphx::literal{lit_s, {6}});
// create batch submodules
auto create_submodule = [&](std::size_t batch_size, const std::string& module_name) {
auto* submod = p.create_module(module_name);
migraphx::shape sm_shape{migraphx::shape::float_type, {batch_size, 4}};
auto sm_input = submod->add_parameter("data", sm_shape);
auto broadcast_lit =
submod->add_instruction(migraphx::make_op("multibroadcast"), literal_ins, sm_input);
auto add_ins = submod->add_instruction(migraphx::make_op("add"), sm_input, broadcast_lit);
submod->add_return({add_ins});
return submod;
};
auto* batch1 = create_submodule(1, "batch_1");
auto* batch2 = create_submodule(2, "batch_2");
auto* batch3 = create_submodule(3, "batch_3");
auto* batch4 = create_submodule(4, "batch_4");
migraphx::shape s{migraphx::shape::float_type, {{1, 4}, {4, 4}}};
auto input = mm->add_parameter("data", s);
std::vector<migraphx::shape> sub_shapes = {};
sub_shapes.push_back(migraphx::shape{migraphx::shape::float_type, {{1, 4}, {4, 4}}});
migraphx::shape out_attr = migraphx::shape{sub_shapes};
auto sm_ins = mm->add_instruction(
migraphx::make_op("select_module", {{"output_dyn_shapes", migraphx::to_value(out_attr)}}),
{input},
{batch1, batch2, batch3, batch4});
auto ret = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 0}}), sm_ins);
mm->add_return({ret});
p.compile(migraphx::make_target("ref"));
std::vector<float> input_data{-4, 8, -1, 4, -1, 8, 8, -4};
migraphx::parameter_map params;
migraphx::shape input_fixed_shape{migraphx::shape::float_type, {2, 4}};
params["data"] = 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{2, 14, 5, 10, 5, 14, 14, 2};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(select_module_reduce_test0)
{
migraphx::program p;
// create batch submodules
auto create_submodule = [&](std::size_t batch_size, const std::string& module_name) {
auto* submod = p.create_module(module_name);
migraphx::shape sm_shape{migraphx::shape::float_type, {batch_size, 2, 2}};
auto sm_input = submod->add_parameter("data", sm_shape);
auto reduce_ins =
submod->add_instruction(migraphx::make_op("reduce_sum", {{"axes", {1}}}), sm_input);
auto squeeze_ins =
submod->add_instruction(migraphx::make_op("squeeze", {{"axes", {1}}}), reduce_ins);
submod->add_return({squeeze_ins});
return submod;
};
auto* batch1 = create_submodule(1, "batch_1");
auto* batch2 = create_submodule(2, "batch_2");
auto* batch3 = create_submodule(3, "batch_3");
auto* batch4 = create_submodule(4, "batch_4");
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {{1, 4}, {2, 2}, {2, 2}}};
auto input = mm->add_parameter("data", s);
std::vector<migraphx::shape> sub_shapes = {};
sub_shapes.push_back(migraphx::shape{migraphx::shape::float_type, {{1, 4}, {2, 2}}});
migraphx::shape out_attr = migraphx::shape{sub_shapes};
auto sm_ins = mm->add_instruction(
migraphx::make_op("select_module", {{"output_dyn_shapes", migraphx::to_value(out_attr)}}),
{input},
{batch1, batch2, batch3, batch4});
auto ret = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 0}}), sm_ins);
mm->add_return({ret});
p.compile(migraphx::make_target("ref"));
std::vector<float> input_data{-4, 8, -1, 4, -1, 8, 8, -4};
migraphx::parameter_map params;
migraphx::shape input_fixed_shape{migraphx::shape::float_type, {2, 2, 2}};
params["data"] = 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{-5, 12, 7, 4};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(select_module_reduce_test1)
{
migraphx::program p;
// create batch submodules
auto create_submodule = [&](std::size_t batch_size, const std::string& module_name) {
auto* submod = p.create_module(module_name);
migraphx::shape sm_shape{migraphx::shape::float_type, {batch_size, 2, 2}};
auto sm_input = submod->add_parameter("data", sm_shape);
auto reduce_ins =
submod->add_instruction(migraphx::make_op("reduce_sum", {{"axes", {1}}}), sm_input);
auto squeeze_ins =
submod->add_instruction(migraphx::make_op("squeeze", {{"axes", {1}}}), reduce_ins);
submod->add_return({squeeze_ins});
return submod;
};
auto* batch1 = create_submodule(1, "batch_1");
auto* batch2 = create_submodule(2, "batch_2");
auto* batch3 = create_submodule(3, "batch_3");
auto* batch4 = create_submodule(4, "batch_4");
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {{1, 4}, {2, 2}, {2, 2}}};
auto input = mm->add_parameter("data", s);
std::vector<migraphx::shape> sub_shapes = {};
sub_shapes.push_back(migraphx::shape{migraphx::shape::float_type, {{1, 4}, {2, 2}}});
migraphx::shape out_attr = migraphx::shape{sub_shapes};
auto sm_ins = mm->add_instruction(
migraphx::make_op("select_module", {{"output_dyn_shapes", migraphx::to_value(out_attr)}}),
{input},
{batch1, batch2, batch3, batch4});
auto ret = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 0}}), sm_ins);
mm->add_return({ret});
p.compile(migraphx::make_target("ref"));
std::vector<float> input_data{-4, 8, -1, 4, -1, 8, 8, -4, -4, 8, -1, 4, -1, 8, 8, -4};
migraphx::parameter_map params;
migraphx::shape input_fixed_shape{migraphx::shape::float_type, {4, 2, 2}};
params["data"] = 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{-5, 12, 7, 4, -5, 12, 7, 4};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(select_module_not_found_error)
{
migraphx::program p;
// create batch submodules
auto create_submodule = [&](std::size_t batch_size, const std::string& module_name) {
auto* submod = p.create_module(module_name);
migraphx::shape sm_shape{migraphx::shape::float_type, {batch_size, 2, 2}};
auto sm_input = submod->add_parameter("data", sm_shape);
auto reduce_ins =
submod->add_instruction(migraphx::make_op("reduce_sum", {{"axes", {1}}}), sm_input);
auto squeeze_ins =
submod->add_instruction(migraphx::make_op("squeeze", {{"axes", {1}}}), reduce_ins);
submod->add_return({squeeze_ins});
return submod;
};
auto* batch1 = create_submodule(1, "batch_1");
auto* batch2 = create_submodule(2, "batch_2");
auto* batch3 = create_submodule(3, "batch_3");
auto* batch4 = create_submodule(4, "batch_4");
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {{1, 4}, {2, 2}, {2, 2}}};
auto input = mm->add_parameter("data", s);
std::vector<migraphx::shape> sub_shapes = {};
sub_shapes.push_back(migraphx::shape{migraphx::shape::float_type, {{1, 4}, {2, 2}}});
migraphx::shape out_attr = migraphx::shape{sub_shapes};
auto sm_ins = mm->add_instruction(
migraphx::make_op("select_module", {{"output_dyn_shapes", migraphx::to_value(out_attr)}}),
{input},
{batch1, batch2, batch3, batch4});
auto ret = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 0}}), sm_ins);
mm->add_return({ret});
p.compile(migraphx::make_target("ref"));
std::vector<float> input_data{-4, 8, -1, 4, -1, 8, 8, -4, -4, 8,
-1, 4, -1, 8, 8, -4, -1, 8, 8, -4};
migraphx::parameter_map params;
migraphx::shape input_fixed_shape{migraphx::shape::float_type, {5, 2, 2}};
params["data"] = migraphx::argument(input_fixed_shape, input_data.data());
EXPECT(test::throws([&] { std::ignore = p.eval(params).back(); }));
}
/*
* 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 <test.hpp>
float sigmoid(float x) { return 1 / (1 + expf(-x)); }
TEST_CASE(sigmoid_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {2, 2}};
auto l = mm->add_literal(migraphx::literal{s, {-1, 2, -3, 4}});
mm->add_instruction(migraphx::make_op("sigmoid"), l);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector(4);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{sigmoid(-1), sigmoid(2), sigmoid(-3), sigmoid(4)};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(sigmoid_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {{2, 4}, {2, 2}}};
auto input = mm->add_parameter("X", s);
mm->add_instruction(migraphx::make_op("sigmoid"), input);
p.compile(migraphx::make_target("ref"));
std::vector<float> input_data{-1, 2, -3, 4};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {2, 2}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
auto result = p.eval(params0).back();
std::vector<float> results_vector(4);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold{sigmoid(-1), sigmoid(2), sigmoid(-3), sigmoid(4)};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
/*
* 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 <test.hpp>
TEST_CASE(sign_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {5}};
auto l = mm->add_literal(
migraphx::literal{s, {1.02481645, 0.85643062, -0.03404123, -0.92791926, 0.0}});
mm->add_instruction(migraphx::make_op("sign"), 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, 1.0, -1.0, -1.0, 0.0};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(sign_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("sign"), input);
p.compile(migraphx::make_target("ref"));
std::vector<float> input_data{1.02481645, 0.85643062, -0.03404123, -0.92791926, 0.0};
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {5}};
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, 1.0, -1.0, -1.0, 0.0};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
/*
* 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 <test.hpp>
TEST_CASE(sin_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3}};
std::vector<float> data = {-1, 0, 1};
auto l = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(migraphx::make_op("sin"), 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 = data;
std::transform(
gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return sinf(n); });
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(sin_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("sin"), input);
p.compile(migraphx::make_target("ref"));
std::vector<float> input_data = {-1, 0, 1};
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 = input_data;
std::transform(
gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return sinf(n); });
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
/*
* 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 <test.hpp>
TEST_CASE(sinh_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {2, 2}};
std::vector<float> data{-1.0, 2.0, -3.0, 4.0};
auto l = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(migraphx::make_op("sinh"), l);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector(4);
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 sinhf(n); });
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(sinh_dynamic_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {{2, 4}, {2, 4}}};
auto input = mm->add_parameter("X", s);
std::vector<float> input_data{-1.0, 2.0, -3.0, 4.0};
mm->add_instruction(migraphx::make_op("sinh"), input);
p.compile(migraphx::make_target("ref"));
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {4}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
auto result = p.eval(params0).back();
std::vector<float> results_vector(4);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = input_data;
std::transform(
gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return sinhf(n); });
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
/*
* 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 <test.hpp>
TEST_CASE(slice_test_1)
{
migraphx::program p;
auto* mm = p.get_main_module();
std::vector<int> data(2 * 2 * 3);
std::iota(data.begin(), data.end(), 0);
migraphx::shape s{migraphx::shape::int32_type, {2, 2, 3}};
auto l0 = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(migraphx::make_op("slice", {{"axes", {2}}, {"starts", {1}}, {"ends", {3}}}),
l0);
migraphx::shape s2{migraphx::shape::int32_type, {2, 2, 2}, {6, 3, 1}};
EXPECT(p.get_output_shapes().back() == s2);
p.compile(migraphx::make_target("ref"));
migraphx::shape sresult{migraphx::shape::int32_type, {2, 2, 2}, {4, 2, 1}};
auto result = p.eval({}).back();
std::vector<int> gold = {1, 2, 4, 5, 7, 8, 10, 11};
std::vector<int> results_vector(2 * 2 * 2);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_range(results_vector, gold));
EXPECT(result.get_shape() == sresult);
}
TEST_CASE(slice_test_2)
{
migraphx::program p;
auto* mm = p.get_main_module();
std::vector<int> data(2 * 2 * 3);
std::iota(data.begin(), data.end(), 0);
migraphx::shape s{migraphx::shape::int32_type, {2, 2, 3}};
auto l0 = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(
migraphx::make_op("slice",
{{"axes", {0, 1, 2}}, {"starts", {0, 0, 0}}, {"ends", {2, 2, 2}}}),
l0);
migraphx::shape s2{migraphx::shape::int32_type, {2, 2, 2}, {6, 3, 1}};
EXPECT(p.get_output_shapes().back() == s2);
p.compile(migraphx::make_target("ref"));
migraphx::shape sresult{migraphx::shape::int32_type, {2, 2, 2}, {4, 2, 1}};
auto result = p.eval({}).back();
std::vector<int> gold = {0, 1, 3, 4, 6, 7, 9, 10};
std::vector<int> results_vector(2 * 2 * 2);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_range(results_vector, gold));
EXPECT(result.get_shape() == sresult);
}
TEST_CASE(slice_var_inputs_static0)
{
migraphx::program p;
auto* mm = p.get_main_module();
std::vector<int32_t> data(2 * 2 * 3);
std::iota(data.begin(), data.end(), 0);
migraphx::shape s0{migraphx::shape::int32_type, {2, 2, 3}};
auto l0 = mm->add_literal(migraphx::literal{s0, data});
migraphx::shape s1{migraphx::shape::int32_type, {1}};
auto starts = mm->add_parameter("starts", s1);
auto ends = mm->add_parameter("ends", s1);
mm->add_instruction(migraphx::make_op("slice", {{"axes", {2}}}), l0, starts, ends);
p.compile(migraphx::make_target("ref"));
migraphx::parameter_map params;
std::vector<int32_t> start_data = {1};
std::vector<int32_t> end_data = {3};
params["starts"] = migraphx::argument(s1, start_data.data());
params["ends"] = migraphx::argument(s1, end_data.data());
auto result = p.eval(params).back();
std::vector<int32_t> gold = {1, 2, 4, 5, 7, 8, 10, 11};
std::vector<int32_t> results_vector(2 * 2 * 2);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(slice_var_inputs_static1)
{
migraphx::program p;
auto* mm = p.get_main_module();
std::vector<int32_t> data(2 * 2 * 3);
std::iota(data.begin(), data.end(), 0);
migraphx::shape s0{migraphx::shape::int32_type, {2, 2, 3}};
auto l0 = mm->add_literal(migraphx::literal{s0, data});
migraphx::shape s1{migraphx::shape::int32_type, {1}};
auto starts = mm->add_parameter("starts", s1);
auto ends = mm->add_parameter("ends", s1);
mm->add_instruction(migraphx::make_op("slice", {{"axes", {2}}}), l0, starts, ends);
p.compile(migraphx::make_target("ref"));
migraphx::parameter_map params;
std::vector<int32_t> start_data = {-2};
std::vector<int32_t> end_data = {2831};
params["starts"] = migraphx::argument(s1, start_data.data());
params["ends"] = migraphx::argument(s1, end_data.data());
auto result = p.eval(params).back();
std::vector<int32_t> gold = {1, 2, 4, 5, 7, 8, 10, 11};
std::vector<int32_t> results_vector(2 * 2 * 2);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(slice_var_inputs_static2)
{
migraphx::program p;
auto* mm = p.get_main_module();
std::vector<float> data(2 * 2 * 3);
std::iota(data.begin(), data.end(), 0);
migraphx::shape s0{migraphx::shape::float_type, {2, 2, 3}};
auto l0 = mm->add_literal(migraphx::literal{s0, data});
migraphx::shape s1{migraphx::shape::int64_type, {3}};
auto starts = mm->add_parameter("starts", s1);
auto ends = mm->add_parameter("ends", s1);
auto axes = mm->add_parameter("axes", s1);
mm->add_instruction(migraphx::make_op("slice"), l0, starts, ends, axes);
p.compile(migraphx::make_target("ref"));
migraphx::parameter_map params;
std::vector<int64_t> start_data = {0, 0, 0};
std::vector<int64_t> end_data = {2, 2, 2};
std::vector<int64_t> axes_data = {0, 1, 2};
params["starts"] = migraphx::argument(s1, start_data.data());
params["ends"] = migraphx::argument(s1, end_data.data());
params["axes"] = migraphx::argument(s1, axes_data.data());
auto result = p.eval(params).back();
std::vector<float> gold = {0, 1, 3, 4, 6, 7, 9, 10};
std::vector<float> results_vector(2 * 2 * 2);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(slice_var_inputs_dyn)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s0{migraphx::shape::int32_type, {{2, 4, {2, 4}}, {2, 4, {2, 4}}, {3, 8}}};
auto input = mm->add_parameter("input", s0);
migraphx::shape s1{migraphx::shape::int32_type, {1}};
auto starts = mm->add_parameter("starts", s1);
auto ends = mm->add_parameter("ends", s1);
mm->add_instruction(migraphx::make_op("slice", {{"axes", {2}}}), input, starts, ends);
p.compile(migraphx::make_target("ref"));
migraphx::parameter_map params;
migraphx::shape s2{migraphx::shape::int32_type, {2, 2, 3}};
std::vector<int> input_data(2 * 2 * 3);
std::iota(input_data.begin(), input_data.end(), 0);
std::vector<int> start_data = {1};
std::vector<int> end_data = {3};
params["input"] = migraphx::argument(s2, input_data.data());
params["starts"] = migraphx::argument(s1, start_data.data());
params["ends"] = migraphx::argument(s1, end_data.data());
auto result = p.eval(params).back();
std::vector<int> gold = {1, 2, 4, 5, 7, 8, 10, 11};
std::vector<int> results_vector(2 * 2 * 2);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(slice_dyn_test0)
{
// Slice a single dynamic dimension. ax1 slice limits are smaller than min; ax2 "ends" is
// too large
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::int32_type, {{2, 3}, {2, 2}, {3, 3}}};
auto x = mm->add_parameter("x", s);
mm->add_instruction(
migraphx::make_op("slice", {{"axes", {1, 2}}, {"starts", {0, 1}}, {"ends", {1, 6}}}), x);
migraphx::shape s2{migraphx::shape::int32_type, {{2, 3}, {1, 1}, {2, 2}}};
EXPECT(p.get_output_shapes().back() == s2);
p.compile(migraphx::make_target("ref"));
// the strides of sresult are those of the original shape, not
// reduced to sliced size.
migraphx::shape sresult{migraphx::shape::int32_type, {2, 1, 2}, {6, 3, 1}};
migraphx::shape input_fixed_shape{migraphx::shape::int32_type, {2, 2, 3}};
migraphx::parameter_map params;
std::vector<int> data(2 * 2 * 3);
std::iota(data.begin(), data.end(), 0);
params["x"] = migraphx::argument(input_fixed_shape, data.data());
auto result = p.eval(params).back();
std::vector<int> gold = {1, 2, 7, 8};
std::vector<int> results_vector(2 * 1 * 2);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_range(results_vector, gold));
EXPECT(result.get_shape() == sresult);
}
TEST_CASE(slice_dyn_test1)
{
// Slice all three dynamic dimensions
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::int32_type, {{2, 2}, {2, 2}, {3, 3}}};
auto x = mm->add_parameter("x", s);
mm->add_instruction(
migraphx::make_op("slice",
{{"axes", {0, 1, 2}}, {"starts", {0, 0, 0}}, {"ends", {2, 2, 2}}}),
x);
migraphx::shape s2{migraphx::shape::int32_type, {{2, 2}, {2, 2}, {2, 2}}};
EXPECT(p.get_output_shapes().back() == s2);
p.compile(migraphx::make_target("ref"));
migraphx::shape sresult{migraphx::shape::int32_type, {2, 2, 2}, {6, 3, 1}};
migraphx::shape input_fixed_shape{migraphx::shape::int32_type, {2, 2, 3}};
migraphx::parameter_map params;
std::vector<int> data(2 * 2 * 3);
std::iota(data.begin(), data.end(), 0);
params["x"] = migraphx::argument(input_fixed_shape, data.data());
auto result = p.eval(params).back();
std::vector<int> gold = {0, 1, 3, 4, 6, 7, 9, 10};
std::vector<int> results_vector(2 * 2 * 2);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_range(results_vector, gold));
EXPECT(result.get_shape() == sresult);
}
/*
* 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 <test.hpp>
TEST_CASE(softmax_simple_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
std::vector<float> a = {0.25, 0.75};
std::vector<float> s = {0.377541, 0.622459};
migraphx::shape a_shape{migraphx::shape::float_type, {1, 2}};
auto al = mm->add_literal(migraphx::literal{a_shape, a});
mm->add_instruction(migraphx::make_op("softmax", {{"axis", 1}}), al);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector(2);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_range(results_vector, s));
}
TEST_CASE(softmax_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
std::vector<float> a = {
-5.61869681e-01, 9.07827199e-01, 1.29255986e+00, 3.18533443e-02, -1.22183852e-03,
-2.83830553e-01, -1.03245842e+00, -9.28322077e-01, -8.82696748e-01, 1.11327164e-01,
-9.20038462e-01, 8.47388089e-01, 2.51734018e-01, 1.50563884e+00, 2.23056650e+00,
-6.17576987e-02, -1.00264274e-01, -6.10369384e-01, 1.17537189e+00, -2.51560897e-01,
-8.50333512e-01, -8.03578615e-01, -6.51194930e-01, -2.58137047e-01, 4.65528190e-01,
3.23284641e-02, -1.54700470e+00, 1.38096774e+00, 5.39869189e-01, -7.56884992e-01,
1.81503093e+00, -2.11269641e+00, 1.92466557e+00, 1.77230799e+00, 2.21660900e+00,
1.56777036e+00, -2.08995026e-03, 3.50566894e-01, -1.15042710e+00, -1.18577778e+00,
8.90633047e-01, -6.63949102e-02, 1.44661188e+00, 1.59215283e+00, -2.56262213e-01,
9.39079225e-01, 4.07298543e-02, 3.86590779e-01, 6.09607756e-01, 8.22331488e-01,
-2.82126725e-01, -9.49052632e-01, -4.24012303e-01, -5.32990396e-01, -3.18386006e+00,
3.27092171e-01, -1.33315325e+00, 3.62459183e-01, 3.74710828e-01, -1.30302286e+00,
1.79680198e-01, -4.51832324e-01, 4.34282750e-01, -7.09520102e-01, 6.20333970e-01,
-1.28712380e+00, 2.04130828e-01, -7.70607769e-01, 1.61889160e+00, -1.50951004e+00,
-4.10505563e-01, -3.56566496e-02, -1.29747534e+00, -1.49967879e-01, 7.77626812e-01,
-8.28408226e-02, 2.73412596e-02, 5.79780899e-03, 9.87900198e-02, -7.95276761e-01,
-1.38536084e+00, -6.63573861e-01, 3.89783204e-01, -1.30670881e+00, -7.62425125e-01,
-4.04883057e-01, 6.24344349e-01, 3.68128955e-01, -1.01577950e+00, -3.06715906e-01,
5.67961395e-01, 2.98198581e-01, -1.63613629e+00, -3.75131965e-01, -6.75393403e-01,
2.59172034e+00, 6.75538957e-01, 9.07939598e-02, 1.92257717e-01, -1.21592450e+00,
-2.73682117e-01, 1.25232983e+00, -1.39969170e+00, -1.91483587e-01, 2.57732719e-01,
3.10056299e-01, 1.41833842e+00, -1.81386679e-01, 3.92868072e-01, -8.14771175e-01,
2.02392387e+00, -9.42091495e-02, -3.77683818e-01, 2.05638766e+00, 2.93796062e-01,
-6.02131486e-01, 2.70461679e-01, -8.92358482e-01, 1.04388881e+00, 2.66154885e-01};
std::vector<float> s = {
0.30191708, 0.59879845, 0.50029165, 0.24915339, 0.36823985, 0.13190967, 0.0349741,
0.18750034, 0.21905553, 0.27000085, 0.0547399, 0.56318235, 0.47422904, 0.78964758,
0.91381913, 0.44601166, 0.47902739, 0.13120073, 0.4449684, 0.18766427, 0.15753111,
0.07844277, 0.05120674, 0.36648798, 0.14637007, 0.13152322, 0.01560997, 0.29065287,
0.49196178, 0.10550152, 0.81890774, 0.06369215, 0.62972021, 0.74931765, 0.67285055,
0.35034987, 0.28612873, 0.31931475, 0.04220394, 0.16093165, 0.22390974, 0.11915915,
0.3115395, 0.35899726, 0.22190949, 0.57518375, 0.13888834, 0.7753762, 0.4642328,
0.57055861, 0.21954368, 0.34515455, 0.09486015, 0.40631217, 0.01842281, 0.48770609,
0.06652815, 0.36023033, 0.42343026, 0.24226256, 0.17348589, 0.44066274, 0.6865865,
0.17296699, 0.46923906, 0.06921105, 0.3570261, 0.4125829, 0.73165393, 0.15302512,
0.29499072, 0.33932695, 0.30852377, 0.40762195, 0.40170741, 0.36259529, 0.60848355,
0.42618036, 0.31721094, 0.02960522, 0.28256637, 0.24389413, 0.2725659, 0.10663581,
0.27622163, 0.28264219, 0.53652936, 0.09476089, 0.40890986, 0.34848392, 0.32572666,
0.53076893, 0.11529481, 0.29117745, 0.14625968, 0.8756339, 0.49818122, 0.10656087,
0.1813329, 0.17664003, 0.21410346, 0.80408043, 0.02315119, 0.27155462, 0.32804728,
0.13268511, 0.61795473, 0.49703068, 0.41696799, 0.10175809, 0.71028161, 0.29929739,
0.17377149, 0.76075399, 0.20071237, 0.32632929, 0.36892858, 0.09416146, 0.26656723,
0.42914796};
migraphx::shape a_shape{migraphx::shape::float_type, {5, 3, 4, 2}};
auto al = mm->add_literal(migraphx::literal{a_shape, a});
mm->add_instruction(migraphx::make_op("softmax", {{"axis", 1}}), al);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector(120);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_range(results_vector, s));
}
TEST_CASE(softmax_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape a_shape{migraphx::shape::float_type,
{{1, 10}, {1, 3, {3}}, {4, 4}, {2, 2, {2}}}};
auto al = mm->add_parameter("a", a_shape);
mm->add_instruction(migraphx::make_op("softmax", {{"axis", 1}}), al);
p.compile(migraphx::make_target("ref"));
std::vector<float> a = {
-5.61869681e-01, 9.07827199e-01, 1.29255986e+00, 3.18533443e-02, -1.22183852e-03,
-2.83830553e-01, -1.03245842e+00, -9.28322077e-01, -8.82696748e-01, 1.11327164e-01,
-9.20038462e-01, 8.47388089e-01, 2.51734018e-01, 1.50563884e+00, 2.23056650e+00,
-6.17576987e-02, -1.00264274e-01, -6.10369384e-01, 1.17537189e+00, -2.51560897e-01,
-8.50333512e-01, -8.03578615e-01, -6.51194930e-01, -2.58137047e-01, 4.65528190e-01,
3.23284641e-02, -1.54700470e+00, 1.38096774e+00, 5.39869189e-01, -7.56884992e-01,
1.81503093e+00, -2.11269641e+00, 1.92466557e+00, 1.77230799e+00, 2.21660900e+00,
1.56777036e+00, -2.08995026e-03, 3.50566894e-01, -1.15042710e+00, -1.18577778e+00,
8.90633047e-01, -6.63949102e-02, 1.44661188e+00, 1.59215283e+00, -2.56262213e-01,
9.39079225e-01, 4.07298543e-02, 3.86590779e-01, 6.09607756e-01, 8.22331488e-01,
-2.82126725e-01, -9.49052632e-01, -4.24012303e-01, -5.32990396e-01, -3.18386006e+00,
3.27092171e-01, -1.33315325e+00, 3.62459183e-01, 3.74710828e-01, -1.30302286e+00,
1.79680198e-01, -4.51832324e-01, 4.34282750e-01, -7.09520102e-01, 6.20333970e-01,
-1.28712380e+00, 2.04130828e-01, -7.70607769e-01, 1.61889160e+00, -1.50951004e+00,
-4.10505563e-01, -3.56566496e-02, -1.29747534e+00, -1.49967879e-01, 7.77626812e-01,
-8.28408226e-02, 2.73412596e-02, 5.79780899e-03, 9.87900198e-02, -7.95276761e-01,
-1.38536084e+00, -6.63573861e-01, 3.89783204e-01, -1.30670881e+00, -7.62425125e-01,
-4.04883057e-01, 6.24344349e-01, 3.68128955e-01, -1.01577950e+00, -3.06715906e-01,
5.67961395e-01, 2.98198581e-01, -1.63613629e+00, -3.75131965e-01, -6.75393403e-01,
2.59172034e+00, 6.75538957e-01, 9.07939598e-02, 1.92257717e-01, -1.21592450e+00,
-2.73682117e-01, 1.25232983e+00, -1.39969170e+00, -1.91483587e-01, 2.57732719e-01,
3.10056299e-01, 1.41833842e+00, -1.81386679e-01, 3.92868072e-01, -8.14771175e-01,
2.02392387e+00, -9.42091495e-02, -3.77683818e-01, 2.05638766e+00, 2.93796062e-01,
-6.02131486e-01, 2.70461679e-01, -8.92358482e-01, 1.04388881e+00, 2.66154885e-01};
migraphx::parameter_map params;
migraphx::shape input_fixed_shape{migraphx::shape::float_type, {5, 3, 4, 2}};
params["a"] = migraphx::argument(input_fixed_shape, a.data());
auto result = p.eval(params).back();
std::vector<float> results_vector(120);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> s = {
0.30191708, 0.59879845, 0.50029165, 0.24915339, 0.36823985, 0.13190967, 0.0349741,
0.18750034, 0.21905553, 0.27000085, 0.0547399, 0.56318235, 0.47422904, 0.78964758,
0.91381913, 0.44601166, 0.47902739, 0.13120073, 0.4449684, 0.18766427, 0.15753111,
0.07844277, 0.05120674, 0.36648798, 0.14637007, 0.13152322, 0.01560997, 0.29065287,
0.49196178, 0.10550152, 0.81890774, 0.06369215, 0.62972021, 0.74931765, 0.67285055,
0.35034987, 0.28612873, 0.31931475, 0.04220394, 0.16093165, 0.22390974, 0.11915915,
0.3115395, 0.35899726, 0.22190949, 0.57518375, 0.13888834, 0.7753762, 0.4642328,
0.57055861, 0.21954368, 0.34515455, 0.09486015, 0.40631217, 0.01842281, 0.48770609,
0.06652815, 0.36023033, 0.42343026, 0.24226256, 0.17348589, 0.44066274, 0.6865865,
0.17296699, 0.46923906, 0.06921105, 0.3570261, 0.4125829, 0.73165393, 0.15302512,
0.29499072, 0.33932695, 0.30852377, 0.40762195, 0.40170741, 0.36259529, 0.60848355,
0.42618036, 0.31721094, 0.02960522, 0.28256637, 0.24389413, 0.2725659, 0.10663581,
0.27622163, 0.28264219, 0.53652936, 0.09476089, 0.40890986, 0.34848392, 0.32572666,
0.53076893, 0.11529481, 0.29117745, 0.14625968, 0.8756339, 0.49818122, 0.10656087,
0.1813329, 0.17664003, 0.21410346, 0.80408043, 0.02315119, 0.27155462, 0.32804728,
0.13268511, 0.61795473, 0.49703068, 0.41696799, 0.10175809, 0.71028161, 0.29929739,
0.17377149, 0.76075399, 0.20071237, 0.32632929, 0.36892858, 0.09416146, 0.26656723,
0.42914796};
EXPECT(migraphx::verify::verify_range(results_vector, s));
}
/*
* 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 <test.hpp>
TEST_CASE(sqdiff_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3}};
auto l1 = mm->add_literal(migraphx::literal{s, {-1, 0, 1}});
auto l2 = mm->add_literal(migraphx::literal{s, {1, 2, 3}});
mm->add_instruction(migraphx::make_op("sqdiff"), l1, l2);
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 = {4, 4, 4};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(sqdiff_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 y = mm->add_parameter("y", s);
mm->add_instruction(migraphx::make_op("sqdiff"), x, y);
p.compile(migraphx::make_target("ref"));
std::vector<float> x_data{-1, 0, 1};
std::vector<float> y_data{1, 2, 3};
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["y"] = migraphx::argument(input_fixed_shape0, y_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 = {4, 4, 4};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
/*
* 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 <test.hpp>
TEST_CASE(sqrt_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {5}};
std::vector<float> data{1.02481645, 0.85643062, 0.03404123, 0.92791926, 0.10569184};
auto l = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(migraphx::make_op("sqrt"), 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 = data;
std::transform(
gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return sqrtf(n); });
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(sqrt_dynamic_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);
std::vector<float> input_data{1.02481645, 0.85643062, 0.03404123, 0.92791926, 0.10569184};
mm->add_instruction(migraphx::make_op("sqrt"), input);
p.compile(migraphx::make_target("ref"));
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {5}};
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 = input_data;
std::transform(
gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return sqrtf(n); });
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2022 Advanced Micro Devices, Inc. All rights reserved.
* 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
......@@ -21,74 +21,74 @@
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*/
#include <iostream>
#include <vector>
#include <migraphx/literal.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/instruction.hpp>
#include <migraphx/literal.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/onnx.hpp>
#include <migraphx/register_target.hpp>
#include <migraphx/program.hpp>
#include <migraphx/generate.hpp>
#include <migraphx/verify.hpp>
#include <migraphx/make_op.hpp>
#include <migraphx/pass_manager.hpp>
#include "test.hpp"
TEST_CASE(argmax_test_nonstd_shape)
#include <test.hpp>
TEST_CASE(squeeze_test_1)
{
migraphx::program p;
auto* mm = p.get_main_module();
auto dl = mm->add_literal(migraphx::generate_literal({migraphx::shape::float_type, {2, 3, 4}}));
auto dl_trans =
mm->add_instruction(migraphx::make_op("transpose", {{"permutation", {1, 2, 0}}}), dl);
mm->add_instruction(migraphx::make_op("argmax", {{"axis", -3}}), dl_trans);
auto p_uncompiled = p;
std::vector<float> data(4 * 3 * 3);
migraphx::shape s1{migraphx::shape::float_type, {4, 1, 3, 1, 3}};
migraphx::shape s2{migraphx::shape::float_type, {4, 3, 1, 3}};
auto l0 = mm->add_literal(migraphx::literal{s1, data});
mm->add_instruction(migraphx::make_op("squeeze", {{"axes", {1}}}), l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
auto res_gold = p_uncompiled.eval({}).back();
std::vector<int64_t> result_vec;
result.visit([&](auto output) { result_vec.assign(output.begin(), output.end()); });
std::vector<int64_t> res_gold_vec;
res_gold.visit([&](auto output) { res_gold_vec.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_range(result_vec, res_gold_vec));
auto result = p.eval({}).back();
EXPECT(result.get_shape() == s2);
}
TEST_CASE(argmin_test_nonstd_shape)
TEST_CASE(squeeze_test_2)
{
migraphx::program p;
auto* mm = p.get_main_module();
auto dl = mm->add_literal(migraphx::generate_literal({migraphx::shape::float_type, {2, 3, 4}}));
auto dl_trans =
mm->add_instruction(migraphx::make_op("transpose", {{"permutation", {1, 2, 0}}}), dl);
mm->add_instruction(migraphx::make_op("argmin", {{"axis", -1}}), dl_trans);
auto p_uncompiled = p;
std::vector<float> data(4 * 3 * 3);
migraphx::shape s1{migraphx::shape::float_type, {4, 1, 3, 1, 3}};
migraphx::shape s2{migraphx::shape::float_type, {4, 1, 3, 3}};
auto l0 = mm->add_literal(migraphx::literal{s1, data});
mm->add_instruction(migraphx::make_op("squeeze", {{"axes", {3}}}), l0);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
auto res_gold = p_uncompiled.eval({}).back();
std::vector<int64_t> result_vec;
result.visit([&](auto output) { result_vec.assign(output.begin(), output.end()); });
std::vector<int64_t> res_gold_vec;
res_gold.visit([&](auto output) { res_gold_vec.assign(output.begin(), output.end()); });
EXPECT(migraphx::verify::verify_range(result_vec, res_gold_vec));
auto result = p.eval({}).back();
EXPECT(result.get_shape() == s2);
}
TEST_CASE(isnan_broadcast_test)
TEST_CASE(squeeze_test_3)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s0{migraphx::shape::float_type, {3}};
migraphx::shape s1{migraphx::shape::float_type, {3, 2}};
auto nan_val = std::numeric_limits<float>::quiet_NaN();
std::vector<float> data0 = {1.2, 5.2, nan_val};
auto l0 = mm->add_literal(migraphx::literal{s0, data0});
auto l1 = mm->add_instruction(
migraphx::make_op("broadcast", {{"axis", 0}, {"out_lens", s1.lens()}}), l0);
mm->add_instruction(migraphx::make_op("isnan"), l1);
std::vector<float> data(4 * 3 * 3);
migraphx::shape s1{migraphx::shape::float_type, {4, 1, 3, 1, 3}};
migraphx::shape s2{migraphx::shape::float_type, {4, 3, 3}};
auto l0 = mm->add_literal(migraphx::literal{s1, data});
mm->add_instruction(migraphx::make_op("squeeze"), 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> correct = {0, 0, 0, 0, 1, 1};
EXPECT(migraphx::verify::verify_range(results_vector, correct));
EXPECT(result.get_shape() == s2);
}
TEST_CASE(squeeze_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s1{migraphx::shape::float_type, {{1, 4}, {1, 1}, {3, 3}, {1, 1}, {3, 3}}};
auto p0 = mm->add_parameter("x", s1);
mm->add_instruction(migraphx::make_op("squeeze", {{"axes", {1}}}), p0);
p.compile(migraphx::make_target("ref"));
std::vector<float> input_data(4 * 3 * 3);
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {4, 1, 3, 1, 3}};
params0["x"] = migraphx::argument(input_fixed_shape0, input_data.data());
auto result = p.eval(params0).back();
migraphx::shape s2{migraphx::shape::float_type, {4, 3, 1, 3}};
EXPECT(result.get_shape() == s2);
}
TEST_CASE(squeeze_transpose_test)
......@@ -151,65 +151,3 @@ TEST_CASE(squeeze_slice_test)
EXPECT(result.get_shape() == migraphx::shape{migraphx::shape::float_type, {3, 3}});
EXPECT(result == expected_result);
}
TEST_CASE(unsqueeze_transpose_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s1{migraphx::shape::float_type, {4, 3, 3}};
auto l0 = mm->add_literal(migraphx::generate_literal(s1));
auto l0_trans =
mm->add_instruction(migraphx::make_op("transpose", {{"permutation", {2, 0, 1}}}), l0);
mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {2}}}), l0_trans);
auto p_uncompiled = p;
auto* mm_uncompiled = p_uncompiled.get_main_module();
mm_uncompiled->add_instruction(migraphx::make_op("contiguous"),
std::prev(mm_uncompiled->end()));
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
auto expected_result = p_uncompiled.eval({}).back();
EXPECT(result.get_shape() == migraphx::shape{migraphx::shape::float_type, {3, 4, 1, 3}});
EXPECT(result == expected_result);
}
TEST_CASE(unsqueeze_multibroadcast_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s1{migraphx::shape::float_type, {4, 1, 3}};
auto l0 = mm->add_literal(migraphx::generate_literal(s1));
auto l0_brcst =
mm->add_instruction(migraphx::make_op("multibroadcast", {{"out_lens", {4, 4, 3, 3}}}), l0);
mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {2}}}), l0_brcst);
auto p_uncompiled = p;
auto* mm_uncompiled = p_uncompiled.get_main_module();
mm_uncompiled->add_instruction(migraphx::make_op("contiguous"),
std::prev(mm_uncompiled->end()));
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
auto expected_result = p_uncompiled.eval({}).back();
EXPECT(result.get_shape() == migraphx::shape{migraphx::shape::float_type, {4, 4, 1, 3, 3}});
EXPECT(result == expected_result);
}
TEST_CASE(unsqueeze_slice_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s1{migraphx::shape::float_type, {2, 3, 4, 4}};
auto l0 = mm->add_literal(migraphx::generate_literal(s1));
auto l0_slice = mm->add_instruction(
migraphx::make_op("slice", {{"axes", {3}}, {"starts", {2}}, {"ends", {3}}}), l0);
mm->add_instruction(migraphx::make_op("unsqueeze", {{"axes", {1}}}), l0_slice);
auto p_uncompiled = p;
auto* mm_uncompiled = p_uncompiled.get_main_module();
mm_uncompiled->add_instruction(migraphx::make_op("contiguous"),
std::prev(mm_uncompiled->end()));
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
auto expected_result = p_uncompiled.eval({}).back();
EXPECT(result.get_shape() == migraphx::shape{migraphx::shape::float_type, {2, 1, 3, 4, 1}});
EXPECT(result == expected_result);
}
int main(int argc, const char* argv[]) { test::run(argc, argv); }
/*
* 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 <test.hpp>
TEST_CASE(step_test_1)
{
migraphx::program p;
auto* mm = p.get_main_module();
std::vector<float> data(2 * 4 * 6);
std::iota(data.begin(), data.end(), 2);
migraphx::shape s1{migraphx::shape::float_type, {2, 1, 4, 6}};
auto l0 = mm->add_literal(migraphx::literal{s1, data});
auto r = mm->add_instruction(
migraphx::make_op("step", {{"axes", {0, 2, 3}}, {"steps", {2, 2, 3}}}), l0);
mm->add_return({r});
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
migraphx::shape s2{migraphx::shape::float_type, {1, 1, 2, 2}};
EXPECT(result.get_shape() == s2);
}
TEST_CASE(step_test_2)
{
migraphx::program p;
auto* mm = p.get_main_module();
std::vector<float> data(2 * 4 * 6);
std::iota(data.begin(), data.end(), 2);
migraphx::shape s1{migraphx::shape::float_type, {2, 1, 4, 6}};
auto l0 = mm->add_literal(migraphx::literal{s1, data});
auto tl =
mm->add_instruction(migraphx::make_op("transpose", {{"permutation", {0, 2, 3, 1}}}), l0);
auto r = mm->add_instruction(
migraphx::make_op("step", {{"axes", {0, 1, 2}}, {"steps", {2, 2, 3}}}), tl);
mm->add_return({r});
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
migraphx::shape s2{migraphx::shape::float_type, {1, 2, 2, 1}};
EXPECT(result.get_shape() == s2);
}
/*
* 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 <test.hpp>
TEST_CASE(sub_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3}};
auto l1 = mm->add_literal(migraphx::literal{s, {-1, 0, 1}});
auto l2 = mm->add_literal(migraphx::literal{s, {1, 2, 3}});
mm->add_instruction(migraphx::make_op("sub"), l1, l2);
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, -2, -2};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(sub_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 y = mm->add_parameter("y", s);
mm->add_instruction(migraphx::make_op("sub"), x, y);
p.compile(migraphx::make_target("ref"));
std::vector<float> x_data{-1, 0, 1};
std::vector<float> y_data{1, 2, 3};
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["y"] = migraphx::argument(input_fixed_shape0, y_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, -2, -2};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
/*
* 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 <test.hpp>
TEST_CASE(tan_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3}};
std::vector<float> data{-1, 0, 1};
auto l = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(migraphx::make_op("tan"), 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 = data;
std::transform(
gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return tanf(n); });
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(tan_dynamic_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);
std::vector<float> input_data{-1, 0, 1};
mm->add_instruction(migraphx::make_op("tan"), input);
p.compile(migraphx::make_target("ref"));
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 = input_data;
std::transform(
gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return tanf(n); });
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
/*
* 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 <test.hpp>
TEST_CASE(tanh_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {2, 2}};
std::vector<float> data{-1.0, 2.0, -3.0, 4.0};
auto l = mm->add_literal(migraphx::literal{s, data});
mm->add_instruction(migraphx::make_op("tanh"), l);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
std::vector<float> results_vector(4);
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 tanhf(n); });
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
TEST_CASE(tanh_dynamic_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);
std::vector<float> input_data{-1.0, 2.0, -3.0, 4.0};
mm->add_instruction(migraphx::make_op("tanh"), input);
p.compile(migraphx::make_target("ref"));
migraphx::parameter_map params0;
migraphx::shape input_fixed_shape0{migraphx::shape::float_type, {4}};
params0["X"] = migraphx::argument(input_fixed_shape0, input_data.data());
auto result = p.eval(params0).back();
std::vector<float> results_vector(4);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = input_data;
std::transform(
gold.begin(), gold.end(), gold.begin(), [](float n) -> float { return tanhf(n); });
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
/*
* 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 <test.hpp>
TEST_CASE(topk_test)
{
auto create_program = [](int64_t k, int64_t axis, int largest) {
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {3, 5}};
auto data = mm->add_parameter("data", s);
auto r = mm->add_instruction(
migraphx::make_op("topk", {{"axis", axis}, {"k", k}, {"largest", largest}}), data);
auto r0 = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 0}}), r);
auto r1 = mm->add_instruction(migraphx::make_op("get_tuple_elem", {{"index", 1}}), r);
mm->add_return({r0, r1});
return p;
};
auto run_program = [&](int64_t k, int64_t axis, int largest) {
auto p = create_program(k, axis, largest);
p.compile(migraphx::make_target("ref"));
std::vector<float> data = {
2.1, 2.3, 2.0, 2.5, 1.9, 3.3, 0.2, 4.5, 0.1, 0.8, 1.0, 4.5, 2.1, 0.8, 1.5};
migraphx::shape s{migraphx::shape::float_type, {3, 5}};
migraphx::parameter_map pp;
pp["data"] = migraphx::argument(s, data.data());
auto rets = p.eval(pp);
std::vector<float> ret_val;
rets.front().visit([&](auto v) { ret_val.assign(v.begin(), v.end()); });
std::vector<int64_t> ret_ind;
rets.back().visit([&](auto v) { ret_ind.assign(v.begin(), v.end()); });
return std::make_pair(ret_val, ret_ind);
};
// case 1
{
auto results = run_program(4, 1, 1);
std::vector<float> gold_val = {2.5, 2.3, 2.1, 2, 4.5, 3.3, 0.8, 0.2, 4.5, 2.1, 1.5, 1};
EXPECT(results.first == gold_val);
std::vector<int64_t> gold_ind = {3, 1, 0, 2, 2, 0, 4, 1, 1, 2, 4, 0};
EXPECT(results.second == gold_ind);
}
// case 2
{
auto results = run_program(4, 1, 0);
std::vector<float> gold_val = {1.9, 2, 2.1, 2.3, 0.1, 0.2, 0.8, 3.3, 0.8, 1, 1.5, 2.1};
EXPECT(results.first == gold_val);
std::vector<int64_t> gold_ind = {4, 2, 0, 1, 3, 1, 4, 0, 3, 0, 4, 2};
EXPECT(results.second == gold_ind);
}
}
/*
* 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 <test.hpp>
TEST_CASE(transpose_test)
{
migraphx::shape a_shape{migraphx::shape::float_type, {1, 2, 2, 3}};
std::vector<float> data(12);
std::iota(data.begin(), data.end(), 0);
{
migraphx::program p;
auto* mm = p.get_main_module();
auto l = mm->add_literal(migraphx::literal{a_shape, data});
std::vector<int64_t> perm = {0, 3, 1, 2};
mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), l);
p.compile(migraphx::make_target("ref"));
auto result = p.eval({}).back();
}
{
migraphx::program p;
auto* mm = p.get_main_module();
auto l = mm->add_literal(migraphx::literal{a_shape, data});
std::vector<int64_t> perm = {0, 3, 1, 2};
auto result =
mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), l);
mm->add_instruction(migraphx::make_op("contiguous"), result);
p.compile(migraphx::make_target("ref"));
auto result2 = p.eval({}).back();
std::vector<float> results_vector(12);
result2.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {0, 3, 6, 9, 1, 4, 7, 10, 2, 5, 8, 11};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
}
TEST_CASE(transpose_dyn_test)
{
migraphx::program p;
auto* mm = p.get_main_module();
migraphx::shape s{migraphx::shape::float_type, {{1, 4}, {2, 2}, {2, 2}, {3, 3}}};
auto l = mm->add_parameter("X", s);
std::vector<int64_t> perm = {0, 3, 1, 2};
mm->add_instruction(migraphx::make_op("transpose", {{"permutation", perm}}), l);
p.compile(migraphx::make_target("ref"));
std::vector<float> data(12);
std::iota(data.begin(), data.end(), 0);
migraphx::parameter_map params;
migraphx::shape input_fixed_shape{migraphx::shape::float_type, {1, 2, 2, 3}};
params["X"] = migraphx::argument(input_fixed_shape, data.data());
auto result = p.eval(params).back();
std::vector<size_t> new_lens = {1, 3, 2, 2};
EXPECT(result.get_shape().lens() == new_lens);
std::vector<float> results_vector(12);
result.visit([&](auto output) { results_vector.assign(output.begin(), output.end()); });
std::vector<float> gold = {0, 3, 6, 9, 1, 4, 7, 10, 2, 5, 8, 11};
EXPECT(migraphx::verify::verify_range(results_vector, gold));
}
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