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// Copyright (C) 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 "../../shared/hostbuf.h"
#include "../../shared/rocfft_complex.h"
#include "../../shared/rocfft_params.h"
#include "accuracy_test.h"
#include "fftw_transform.h"
#include "rocfft_against_fftw.h"
#include <gtest/gtest.h>
// callback functions to cast data from short to float
__host__ __device__ float
load_callback_short(short* input, size_t offset, void* cbdata, void* sharedMem)
{
return static_cast<float>(input[offset]);
}
__host__ __device__ float2 load_callback_short2(short2* input,
size_t offset,
void* cbdata,
void* sharedMem)
{
return float2{static_cast<float>(input[offset].x), static_cast<float>(input[offset].y)};
}
__device__ auto load_callback_short_dev = load_callback_short;
__device__ auto load_callback_short2_dev = load_callback_short2;
class change_type : public ::testing::TestWithParam<fft_params>
{
protected:
void SetUp() override {}
void TearDown() override {}
public:
static std::string TestName(const testing::TestParamInfo<change_type::ParamType>& info)
{
return info.param.token();
}
};
// aim for 1D lengths that might need ordinary Stockham, transpose,
// Bluestein kernels to treat real data as complex
std::vector<std::vector<size_t>> callback_type_sizes = {{4}, {60}, {122}, {220}, {8192}, {4500000}};
// test complex + real forward transforms. real inverse is not a valid
// test case here, because we're allowed to overwrite input on those.
// the input can't be any smaller than what rocFFT thinks it is,
// because the overwrite will fail.
const static std::vector<std::vector<size_t>> stride_range = {{1}};
INSTANTIATE_TEST_SUITE_P(callback,
change_type,
::testing::ValuesIn(param_generator_base(
{fft_transform_type_complex_forward, fft_transform_type_real_forward},
callback_type_sizes,
{fft_precision_single},
{1},
generate_types,
stride_range,
stride_range,
{{0, 0}},
{{0, 0}},
{fft_placement_notinplace},
false,
false)),
accuracy_test::TestName);
// run an out-of-place transform that casts input from short to float
TEST_P(change_type, short_to_float)
{
rocfft_params params(GetParam());
params.run_callbacks = true;
ASSERT_EQ(params.create_plan(), fft_status_success);
// input has 2 shorts/floats for complex data, 1 otherwise.
// output is always complex for these tests.
const size_t input_complex = params.transform_type != fft_transform_type_real_forward ? 2 : 1;
// allocate
gpubuf gpu_input;
gpubuf gpu_output;
std::vector<hostbuf> cpu_input(1);
std::vector<hostbuf> cpu_output(1);
// gpu input is actually shorts, everything else is float
ASSERT_EQ(gpu_input.alloc(params.isize[0] * sizeof(short) * input_complex), hipSuccess);
ASSERT_EQ(gpu_output.alloc(params.osize[0] * sizeof(float) * 2), hipSuccess);
cpu_input[0].alloc(params.isize[0] * sizeof(float) * input_complex);
cpu_output[0].alloc(params.osize[0] * sizeof(float) * 2);
// generate short (16-bit) and float (32-bit) input
std::mt19937 gen;
std::uniform_int_distribution<short> dis(-3, 3);
std::vector<short> cpu_input_short(params.isize[0] * input_complex);
for(auto& i : cpu_input_short)
i = dis(gen);
// copy short input to gpubuf
ASSERT_EQ(hipMemcpy(gpu_input.data(),
cpu_input_short.data(),
sizeof(short) * cpu_input_short.size(),
hipMemcpyHostToDevice),
hipSuccess);
// convert shorts to floats for FFTW input
std::copy(
cpu_input_short.begin(), cpu_input_short.end(), static_cast<float*>(cpu_input[0].data()));
// get callback function so we can pass it to rocfft
void* callback_host;
if(input_complex == 1)
{
ASSERT_EQ(
hipMemcpyFromSymbol(&callback_host, HIP_SYMBOL(load_callback_short_dev), sizeof(void*)),
hipSuccess);
}
else
{
ASSERT_EQ(hipMemcpyFromSymbol(
&callback_host, HIP_SYMBOL(load_callback_short2_dev), sizeof(void*)),
hipSuccess);
}
ASSERT_EQ(params.set_callbacks(callback_host, nullptr, nullptr, nullptr), fft_status_success);
// run rocFFT
void* gpu_input_ptr = gpu_input.data();
void* gpu_output_ptr = gpu_output.data();
ASSERT_EQ(params.execute(&gpu_input_ptr, &gpu_output_ptr), fft_status_success);
// construct + run FFTW plan
auto cpu_plan = fftw_plan_via_rocfft<float>(params.length,
params.istride,
params.ostride,
params.nbatch,
params.idist,
params.odist,
params.transform_type,
cpu_input,
cpu_output);
fftw_run<float>(params.transform_type, cpu_plan, cpu_input, cpu_output);
// copy rocFFT output back to CPU
std::vector<hostbuf> gpu_output_copy(1);
gpu_output_copy[0].alloc(gpu_output.size());
ASSERT_EQ(
hipMemcpy(
gpu_output_copy[0].data(), gpu_output.data(), gpu_output.size(), hipMemcpyDeviceToHost),
hipSuccess);
auto cpu_output_norm = norm(cpu_output,
params.olength(),
params.nbatch,
params.precision,
params.otype,
params.ostride,
params.odist,
params.ooffset);
ASSERT_TRUE(std::isfinite(cpu_output_norm.l_2));
ASSERT_TRUE(std::isfinite(cpu_output_norm.l_inf));
auto gpu_output_norm = norm(gpu_output_copy,
params.olength(),
params.nbatch,
params.precision,
params.otype,
params.ostride,
params.odist,
params.ooffset);
ASSERT_TRUE(std::isfinite(gpu_output_norm.l_2));
ASSERT_TRUE(std::isfinite(gpu_output_norm.l_inf));
double linf_cutoff
= type_epsilon(params.precision) * cpu_output_norm.l_inf * log(params.length.front());
auto diff = distance(cpu_output,
gpu_output_copy,
params.olength(),
params.nbatch,
params.precision,
params.otype,
params.ostride,
params.odist,
params.otype,
params.ostride,
params.odist,
nullptr,
linf_cutoff,
params.ioffset,
params.ooffset);
ASSERT_TRUE(diff.l_inf <= linf_cutoff);
}
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