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376 lines (340 loc) · 13.9 KB
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/*
* The MIT License (MIT)
*
* Copyright (c) 2015-2025 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 <numeric>
#include <hip/hip_runtime_api.h>
#include <migraphx/migraphx.h>
#include <migraphx/migraphx.hpp>
#include <migraphx/manage_ptr.hpp>
#include <read_onnx.hpp>
#include "test.hpp"
TEST_CASE(load_and_run)
{
auto p = read_onnx("conv_relu_maxpool_test.onnx");
auto shapes_before = p.get_output_shapes();
migraphx::compile_options options;
options.set_offload_copy();
p.compile(migraphx::target("gpu"), options);
auto shapes_after = p.get_output_shapes();
CHECK(shapes_before.size() == 1);
CHECK(shapes_before.size() == shapes_after.size());
CHECK(shapes_before.front() == shapes_after.front());
migraphx::program_parameters pp;
auto param_shapes = p.get_parameter_shapes();
for(auto&& name : param_shapes.names())
{
pp.add(name, migraphx::argument::generate(param_shapes[name]));
}
auto outputs = p.eval(pp);
CHECK(shapes_before.size() == outputs.size());
CHECK(shapes_before.front() == outputs.front().get_shape());
}
using hip_ptr = MIGRAPHX_MANAGE_PTR(void, hipFree);
using stream_ptr = MIGRAPHX_MANAGE_PTR(hipStream_t, hipStreamDestroy);
static stream_ptr get_stream()
{
hipStream_t stream;
auto err = hipStreamCreateWithFlags(&stream, 0);
EXPECT(err == hipSuccess);
return stream_ptr{stream};
}
static hip_ptr get_hip_buffer(size_t size)
{
void* ptr;
auto err = hipMalloc(&ptr, size);
EXPECT(err == hipSuccess);
return hip_ptr{ptr};
}
// TODO: placeholder until we have a way to copy tuple arguments to/from device through c++ api
// TEST_CASE(dynamic_batch_load_and_run)
//{
// migraphx::onnx_options o_options;
// migraphx::dynamic_dimensions dyn_dims = {{1, 4, {2, 4}}, {3, 3}, {4, 4}, {4, 4}};
// o_options.set_dyn_input_parameter_shape("0", dyn_dims);
// dyn_dims = {{2, 2}, {3, 3}, {3, 3}, {3, 3}};
// o_options.set_dyn_input_parameter_shape("1", dyn_dims);
// auto p = read_onnx("conv_dynamic_batch_test.onnx", o_options);
// migraphx::compile_options c_options;
// c_options.set_split_single_dyn_dim();
// p.compile(migraphx::target("gpu"), c_options);
// auto out_shapes = p.get_output_shapes();
// CHECK(out_shapes.size() == 1);
// EXPECT(out_shapes[0].dynamic());
//
// std::vector<float> a(0.12, 2*3*4*4);
// std::vector<float> c(0.75, 2*3*3*3);
//
// auto param_shapes = p.get_parameter_shapes();
// int batch_size = 2;
// std::unordered_map<std::string, migraphx::argument> arg_map;
//
// arg_map["0"] = migraphx::argument(param_shapes["0"].to_static(batch_size), a.data());
// arg_map["1"] = migraphx::argument(param_shapes["1"].to_static(batch_size), c.data());
//
// migraphx::program_parameters pp;
// std::vector<hip_ptr> buffs;
// std::vector<migraphx::argument> args;
//
// // copy to GPU and create parameter map
// for(auto&& name : param_shapes.names())
// {
// if(arg_map.find(name) != arg_map.end())
// {
// args.push_back(arg_map.at(name));
// }
// else
// {
// migraphx::shape static_shape = param_shapes[name].to_static(batch_size);
// auto output_arg = migraphx::argument(static_shape);
// args.push_back(output_arg);
// }
// buffs.push_back(get_hip_buffer(args.rbegin()->get_shape().bytes()));
// auto err = hipMemcpy(buffs.rbegin()->get(),
// args.rbegin()->data(),
// args.rbegin()->get_shape().bytes(),
// hipMemcpyHostToDevice);
// EXPECT(err == hipSuccess);
// pp.add(name, migraphx::argument(args.rbegin()->get_shape(), buffs.rbegin()->get()));
// }
//
// auto output = p.eval(pp)[0];
//
// // copy output back to host
// auto host_arg = migraphx::argument(output.get_shape());
// auto err = hipMemcpy(
// host_arg.data(), output.data(), output.get_shape().bytes(), hipMemcpyDeviceToHost);
// EXPECT(err == hipSuccess);
//}
TEST_CASE(dynamic_batch_load_and_run_offload)
{
migraphx::onnx_options o_options;
migraphx::dynamic_dimensions dyn_dims = {migraphx::dynamic_dimension{1, 4, {2, 4}},
migraphx::dynamic_dimension{3, 3},
migraphx::dynamic_dimension{4, 4},
migraphx::dynamic_dimension{4, 4}};
o_options.set_dyn_input_parameter_shape("0", dyn_dims);
dyn_dims = {migraphx::dynamic_dimension{2, 2},
migraphx::dynamic_dimension{3, 3},
migraphx::dynamic_dimension{3, 3},
migraphx::dynamic_dimension{3, 3}};
o_options.set_dyn_input_parameter_shape("1", dyn_dims);
auto p = read_onnx("conv_dynamic_batch_test.onnx", o_options);
auto shapes_before = p.get_output_shapes();
migraphx::compile_options c_options;
c_options.set_offload_copy();
p.compile(migraphx::target("gpu"), c_options);
auto out_shapes = p.get_output_shapes();
EXPECT(out_shapes.size() == 1);
EXPECT(out_shapes[0].dynamic());
// batch size = 2
std::vector<float> a(2 * 3 * 4 * 4, 0.12);
std::vector<float> c(2 * 3 * 3 * 3, 0.75);
migraphx::program_parameters pp;
auto param_shapes = p.get_parameter_shapes();
pp.add("0",
migraphx::argument(migraphx::shape(migraphx_shape_float_type, {2, 3, 4, 4}), a.data()));
pp.add("1",
migraphx::argument(migraphx::shape(migraphx_shape_float_type, {2, 3, 3, 3}), c.data()));
auto outputs = p.eval(pp);
EXPECT(shapes_before.size() == outputs.size());
EXPECT(bool{outputs.front().get_shape() ==
migraphx::shape(migraphx_shape_float_type, {2, 2, 2, 2})});
}
TEST_CASE(load_and_run_async)
{
auto p = read_onnx("conv_relu_maxpool_test.onnx");
auto shapes_before = p.get_output_shapes();
migraphx::compile_options options;
options.set_offload_copy(false);
p.compile(migraphx::target("gpu"), options);
auto shapes_after = p.get_output_shapes();
CHECK(shapes_before.size() == 1);
CHECK(shapes_before.size() == shapes_after.size());
CHECK(shapes_before.front() == shapes_after.front());
migraphx::program_parameters pp;
auto param_shapes = p.get_parameter_shapes();
stream_ptr stream = get_stream();
std::vector<hip_ptr> buffs;
std::vector<migraphx::argument> args;
for(auto&& name : param_shapes.names())
{
args.push_back(migraphx::argument::generate(param_shapes[name]));
buffs.push_back(get_hip_buffer(args.rbegin()->get_shape().bytes()));
auto err = hipMemcpy(buffs.rbegin()->get(),
args.rbegin()->data(),
args.rbegin()->get_shape().bytes(),
hipMemcpyHostToDevice);
EXPECT(err == hipSuccess);
pp.add(name, migraphx::argument(args.rbegin()->get_shape(), buffs.rbegin()->get()));
}
auto outputs = p.run_async(pp, stream.get());
CHECK(shapes_before.size() == outputs.size());
CHECK(shapes_before.front() == outputs.front().get_shape());
}
TEST_CASE(load_and_run_ctx)
{
auto p = read_onnx("conv_relu_maxpool_test.onnx");
migraphx::compile_options options;
options.set_offload_copy();
p.compile(migraphx::target("gpu"), options);
migraphx::program_parameters pp;
auto param_shapes = p.get_parameter_shapes();
for(auto&& name : param_shapes.names())
{
pp.add(name, migraphx::argument::generate(param_shapes[name]));
}
auto ctx = p.experimental_get_context();
EXPECT(ctx.get_queue<hipStream_t>() != nullptr);
p.eval(pp);
ctx.finish();
}
TEST_CASE(if_pl_test)
{
auto run_prog = [&](auto cond) {
auto p = read_onnx("if_pl_test.onnx");
auto shapes_before = p.get_output_shapes();
migraphx::compile_options options;
options.set_offload_copy();
p.compile(migraphx::target("gpu"), options);
auto shapes_after = p.get_output_shapes();
CHECK(shapes_before.size() == 1);
CHECK(shapes_before.front() == shapes_after.front());
migraphx::program_parameters pp;
auto param_shapes = p.get_parameter_shapes();
auto xs = param_shapes["x"];
std::vector<float> xd(xs.elements(), 1.0);
pp.add("x", migraphx::argument(xs, xd.data()));
auto ys = param_shapes["y"];
std::vector<float> yd(ys.elements(), 2.0);
pp.add("y", migraphx::argument(ys, yd.data()));
char ccond = cond;
pp.add("cond", migraphx::argument(param_shapes["cond"], &ccond));
auto outputs = p.eval(pp);
auto output = outputs[0];
return output.as_vector<float>();
};
// then branch
{
auto result_vector = run_prog(true);
std::vector<float> gold = {2, 3, 4, 5, 6, 7};
EXPECT(result_vector == gold);
}
// else branch
{
auto result_vector = run_prog(false);
std::vector<float> gold = {1, 2, 3, 4, 5, 6};
EXPECT(result_vector == gold);
}
}
TEST_CASE(loop_test)
{
auto run_prog = [&](int64_t max_iter_num) {
migraphx::onnx_options parse_options;
parse_options.set_default_loop_iterations(max_iter_num);
auto p = read_onnx("loop_default_test.onnx", parse_options);
auto shapes_before = p.get_output_shapes();
migraphx::compile_options options;
options.set_offload_copy();
p.compile(migraphx::target("gpu"), options);
auto shapes_after = p.get_output_shapes();
CHECK(shapes_before.size() == 2);
CHECK(shapes_before.front() == shapes_after.front());
migraphx::program_parameters pp;
auto param_shapes = p.get_parameter_shapes();
auto aas = param_shapes["a"];
std::vector<float> xd = {1.0f};
pp.add("a", migraphx::argument(aas, xd.data()));
auto bbs = param_shapes["b"];
std::vector<float> yd = {2.0};
pp.add("b", migraphx::argument(bbs, yd.data()));
auto outputs = p.eval(pp);
auto output = outputs[0];
std::vector<std::vector<float>> ret;
ret.push_back(output.as_vector<float>());
output = outputs[1];
ret.push_back(output.as_vector<float>());
return ret;
};
{
auto result_vector = run_prog(10);
std::vector<float> gold0 = {2.0f};
EXPECT(result_vector.at(0) == gold0);
std::vector<float> gold1 = {-2, 4, 0, 0, 0, 0, 0, 0, 0, 0};
EXPECT(result_vector.at(1) == gold1);
}
{
auto result_vector = run_prog(15);
std::vector<float> gold0 = {2.0f};
EXPECT(result_vector.at(0) == gold0);
std::vector<float> gold1 = {-2, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
EXPECT(result_vector.at(1) == gold1);
}
}
TEST_CASE(loop_test_limit_max_iter)
{
auto run_prog = [&](int64_t limit_max_iterations) {
migraphx::onnx_options parse_options;
parse_options.set_limit_loop_iterations(limit_max_iterations);
auto p = read_onnx("loop_test_implicit_tripcnt.onnx", parse_options);
auto shapes_before = p.get_output_shapes();
migraphx::compile_options options;
options.set_offload_copy();
p.compile(migraphx::target("gpu"), options);
auto shapes_after = p.get_output_shapes();
CHECK(shapes_before.size() == 2);
CHECK(shapes_before.front() == shapes_after.front());
migraphx::program_parameters pp;
auto param_shapes = p.get_parameter_shapes();
auto aas = param_shapes["a"];
std::vector<float> xd = {1.0f};
pp.add("a", migraphx::argument(aas, xd.data()));
auto bbs = param_shapes["b"];
std::vector<float> yd = {2.0};
pp.add("b", migraphx::argument(bbs, yd.data()));
auto cs = param_shapes["keep_going_cond"];
bool cond = true;
pp.add("keep_going_cond", migraphx::argument(cs, &cond));
auto outputs = p.eval(pp);
auto output = outputs[0];
std::vector<std::vector<float>> ret;
ret.push_back(output.as_vector<float>());
output = outputs[1];
ret.push_back(output.as_vector<float>());
return ret;
};
{
auto result_vector = run_prog(5);
std::vector<float> gold0 = {2.0f};
EXPECT(result_vector.at(0) == gold0);
std::vector<float> gold1 = {-2, 4, 0, 0, 0};
EXPECT(result_vector.at(1) == gold1);
}
{
auto result_vector = run_prog(20);
std::vector<float> gold0 = {2.0f};
EXPECT(result_vector.at(0) == gold0);
std::vector<float> gold1 = {-2, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
EXPECT(result_vector.at(1) == gold1);
}
}
int main(int argc, const char* argv[]) { test::run(argc, argv); }
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