derek.holloway
7502bf64a4
CodeQL / Analyze (actions) (push) Canceled after 0s
CodeQL / Analyze (python) (push) Canceled after 0s
pre-commit / pre-commit (push) Canceled after 0s
Multi-Arch CI / setup (push) Canceled after 0s
Publish build_manylinux_x86_64 images / publish_build_manylinux_x86_64 (push) Canceled after 0s
Setup (Multi-Arch) / setup (push) Canceled after 0s
Multi-Arch CI / Linux::${{ fromJSON(needs.setup.outputs.linux_build_config || '{}').build_variant_label || 'skip' }} (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Publish no_rocm_image_ubi10 image / publish_no_rocm_image_ubi10 (push) Canceled after 0s
Multi-Arch CI / Windows::${{ fromJSON(needs.setup.outputs.windows_build_config || '{}').build_variant_label || 'skip' }} (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Multi-Arch CI / Manifest Diff (push) Canceled after 0s
TheRock Manifest Diff Report / Generate Manifest Diff Report (push) Canceled after 0s
Multi-Arch CI / CI Summary (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04 (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04_ocl_rt images / publish_no_rocm_image_ubuntu24_04_ocl_rt (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04_rocgdb (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04_rocgdb images / publish_no_rocm_image_ubuntu24_04_rocgdb (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04_ocl_rt (push) Canceled after 0s
Publish TheRock Docker image / build-and-push-image (push) Canceled after 0s
Unit Tests / Unit Tests :: ubuntu-24.04 (push) Canceled after 0s
Unit Tests / Unit Tests :: windows-2022 (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04_media (push) Canceled after 0s
Unit Tests / Unit Tests Summary (push) Canceled after 0s
Publish no_rocm_image_ubuntu24_04 images / publish_no_rocm_image_ubuntu24_04_openmpi (push) Canceled after 0s
279 lines
12 KiB
C++
279 lines
12 KiB
C++
/*******************************************************************************
|
|
*
|
|
* MIT License
|
|
*
|
|
* Copyright (c) 2023 Advanced Micro Devices, Inc.
|
|
*
|
|
* 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 <miopen/miopen.h>
|
|
#include <gtest/gtest.h>
|
|
#include <miopen/groupnorm.hpp>
|
|
|
|
#include "tensor_holder.hpp"
|
|
#include "cpu_groupnorm.hpp"
|
|
#include "get_handle.hpp"
|
|
#include "random.hpp"
|
|
#include "../driver/tensor_driver.hpp"
|
|
#include "verify.hpp"
|
|
#include <random>
|
|
|
|
struct GroupNormTestCase
|
|
{
|
|
size_t N;
|
|
size_t C;
|
|
size_t D;
|
|
size_t H;
|
|
size_t W;
|
|
size_t num_groups;
|
|
float eps;
|
|
miopenNormMode_t mode;
|
|
friend std::ostream& operator<<(std::ostream& os, const GroupNormTestCase& tc)
|
|
{
|
|
return os << " N:" << tc.N << " C:" << tc.C << " D:" << tc.D << " H:" << tc.H
|
|
<< " W:" << tc.W << " num_groups:" << tc.num_groups << " eps:" << tc.eps
|
|
<< " mode:" << tc.mode;
|
|
}
|
|
|
|
std::vector<size_t> GetInput()
|
|
{
|
|
if((N != 0) && (C != 0) && (D != 0) && (H != 0) && (W != 0))
|
|
{
|
|
return std::vector<size_t>({N, C, D, H, W});
|
|
}
|
|
else if((N != 0) && (C != 0) && (H != 0) && (W != 0))
|
|
{
|
|
return std::vector<size_t>({N, C, H, W});
|
|
}
|
|
else if((N != 0) && (C != 0) && (W != 0))
|
|
{
|
|
return std::vector<size_t>({N, C, W});
|
|
}
|
|
else
|
|
{
|
|
std::cout << "Error Input Tensor Lengths\n" << std::endl;
|
|
return std::vector<size_t>({0});
|
|
}
|
|
}
|
|
};
|
|
|
|
std::vector<GroupNormTestCase> GroupNormTestConfigs()
|
|
{ // n c d h w num_groups eps mode
|
|
|
|
return {{32, 1, 32, 32, 32, 1, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{32, 1, 14, 14, 14, 1, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{32, 32, 14, 14, 14, 4, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{32, 32, 12, 12, 12, 4, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{32, 32, 6, 6, 6, 4, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{256, 1, 32, 32, 32, 1, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{256, 32, 14, 14, 14, 4, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{256, 32, 12, 12, 12, 4, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{256, 32, 6, 6, 6, 4, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{512, 1, 32, 32, 32, 1, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{512, 32, 14, 14, 14, 4, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{512, 32, 12, 12, 12, 4, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{512, 32, 6, 6, 6, 4, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{32, 2, 32, 57, 125, 2, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{32, 32, 14, 25, 59, 4, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{32, 32, 6, 10, 27, 4, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{32, 32, 4, 6, 11, 4, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{32, 32, 2, 2, 3, 4, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{32, 32, 32, 28, 62, 4, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{32, 32, 14, 12, 29, 4, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{32, 32, 6, 4, 12, 4, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{32, 32, 4, 2, 2, 4, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{16, 32, 6, 50, 50, 4, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
// {1, 3, 8, 240, 320, 1, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
// {1, 3, 16, 240, 320, 1, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
// {1, 3, 8, 128, 171, 1, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
// {1, 3, 16, 128, 171, 1, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
// {1, 3, 8, 112, 112, 1, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
// {1, 3, 16, 112, 112, 1, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{32, 1, 32, 32, 32, 1, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
{32, 1, 14, 14, 14, 1, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
{32, 32, 14, 14, 14, 4, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
{32, 32, 12, 12, 12, 4, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
{32, 32, 6, 6, 6, 4, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
{256, 1, 32, 32, 32, 1, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
{256, 32, 14, 14, 14, 4, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
{256, 32, 12, 12, 12, 4, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
{256, 32, 6, 6, 6, 4, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
{512, 1, 32, 32, 32, 1, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
{512, 32, 14, 14, 14, 4, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
{512, 32, 12, 12, 12, 4, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
{512, 32, 6, 6, 6, 4, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
{32, 2, 32, 57, 125, 2, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
{32, 32, 14, 25, 59, 4, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
{32, 32, 6, 10, 27, 4, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
{32, 32, 4, 6, 11, 4, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
{32, 32, 2, 2, 3, 4, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
{32, 32, 32, 28, 62, 4, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
{32, 32, 14, 12, 29, 4, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
{32, 32, 6, 4, 12, 4, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
{32, 32, 4, 2, 2, 4, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
{16, 32, 6, 50, 50, 4, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
// {1, 3, 8, 240, 320, 1, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
// {1, 3, 16, 240, 320, 1, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
// {1, 3, 8, 128, 171, 1, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
// {1, 3, 16, 128, 171, 1, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
// {1, 3, 8, 112, 112, 1, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
// {1, 3, 16, 112, 112, 1, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
{32, 4, 0, 4, 256, 1, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{64, 4, 0, 4, 256, 1, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{32, 4, 0, 4, 256, 1, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
{64, 4, 0, 4, 256, 1, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
{32, 1, 0, 0, 256, 1, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{64, 1, 0, 0, 256, 1, 1e-5, MIOPEN_ELEMENTWISE_AFFINE},
|
|
{32, 1, 0, 0, 256, 1, 1e-5, MIOPEN_WEIGHT_BIAS},
|
|
{64, 1, 0, 0, 256, 1, 1e-5, MIOPEN_WEIGHT_BIAS}};
|
|
}
|
|
|
|
template <typename T = float>
|
|
struct GroupNormTest : public ::testing::TestWithParam<GroupNormTestCase>
|
|
{
|
|
protected:
|
|
void SetUp() override
|
|
{
|
|
auto&& handle = get_handle();
|
|
groupnorm_config = GetParam();
|
|
auto gen_value = [](auto...) { return prng::gen_descreet_uniform_sign<T>(1e-2, 100); };
|
|
|
|
num_groups = groupnorm_config.num_groups;
|
|
eps = groupnorm_config.eps;
|
|
mode = groupnorm_config.mode;
|
|
|
|
std::vector<size_t> inout_dim = groupnorm_config.GetInput();
|
|
std::vector<size_t> weight_bias_dim = {inout_dim[1]};
|
|
std::vector<size_t> mean_rstd_dim = {inout_dim[0], num_groups};
|
|
|
|
input = tensor<T>{inout_dim}.generate(gen_value);
|
|
|
|
if(mode == MIOPEN_ELEMENTWISE_AFFINE)
|
|
{
|
|
auto gen_one = [&](auto...) { return 1; };
|
|
auto gen_zero = [&](auto...) { return 0; };
|
|
weight = tensor<T>{weight_bias_dim}.generate(gen_one);
|
|
bias = tensor<T>{weight_bias_dim}.generate(gen_zero);
|
|
}
|
|
else
|
|
{
|
|
weight = tensor<T>{weight_bias_dim}.generate(gen_value);
|
|
bias = tensor<T>{weight_bias_dim}.generate(gen_value);
|
|
}
|
|
output = tensor<T>{inout_dim};
|
|
mean = tensor<T>{mean_rstd_dim};
|
|
rstd = tensor<T>{mean_rstd_dim};
|
|
|
|
std::fill(output.begin(), output.end(), std::numeric_limits<T>::quiet_NaN());
|
|
std::fill(mean.begin(), mean.end(), std::numeric_limits<T>::quiet_NaN());
|
|
std::fill(rstd.begin(), rstd.end(), std::numeric_limits<T>::quiet_NaN());
|
|
|
|
ref_output = tensor<T>{inout_dim};
|
|
ref_mean = tensor<T>{mean_rstd_dim};
|
|
ref_rstd = tensor<T>{mean_rstd_dim};
|
|
|
|
std::fill(ref_output.begin(), ref_output.end(), std::numeric_limits<T>::quiet_NaN());
|
|
std::fill(ref_mean.begin(), ref_mean.end(), std::numeric_limits<T>::quiet_NaN());
|
|
std::fill(ref_rstd.begin(), ref_rstd.end(), std::numeric_limits<T>::quiet_NaN());
|
|
|
|
input_dev = handle.Write(input.data);
|
|
weight_dev = handle.Write(weight.data);
|
|
bias_dev = handle.Write(bias.data);
|
|
output_dev = handle.Write(output.data);
|
|
mean_dev = handle.Write(mean.data);
|
|
rstd_dev = handle.Write(rstd.data);
|
|
}
|
|
|
|
void RunTest()
|
|
{
|
|
auto&& handle = get_handle();
|
|
|
|
cpu_groupnorm_forward<T>(
|
|
input, weight, bias, ref_output, ref_mean, ref_rstd, num_groups, eps, mode);
|
|
miopenStatus_t status;
|
|
|
|
status = miopen::GroupNormForward(handle,
|
|
input.desc,
|
|
input_dev.get(),
|
|
weight.desc,
|
|
weight_dev.get(),
|
|
bias.desc,
|
|
bias_dev.get(),
|
|
output.desc,
|
|
output_dev.get(),
|
|
mean.desc,
|
|
mean_dev.get(),
|
|
rstd.desc,
|
|
rstd_dev.get(),
|
|
mode,
|
|
num_groups,
|
|
eps);
|
|
|
|
EXPECT_EQ(status, miopenStatusSuccess);
|
|
|
|
output.data = handle.Read<T>(output_dev, output.data.size());
|
|
mean.data = handle.Read<T>(mean_dev, mean.data.size());
|
|
rstd.data = handle.Read<T>(rstd_dev, rstd.data.size());
|
|
}
|
|
|
|
void Verify()
|
|
{
|
|
double threshold = std::numeric_limits<T>::epsilon();
|
|
auto error = miopen::rms_range(ref_output, output);
|
|
|
|
EXPECT_TRUE(miopen::range_distance(ref_output) == miopen::range_distance(output));
|
|
EXPECT_TRUE(error < threshold * 1000) << "Error output beyond tolerance Error:" << error
|
|
<< ", Thresholdx1000: " << threshold * 1000;
|
|
|
|
error = miopen::rms_range(ref_mean, mean);
|
|
EXPECT_TRUE(miopen::range_distance(ref_mean) == miopen::range_distance(mean));
|
|
EXPECT_TRUE(error < threshold * 50) << "Error mean beyond tolerance Error:" << error
|
|
<< ", Thresholdx50: " << threshold * 50;
|
|
|
|
error = miopen::rms_range(ref_rstd, rstd);
|
|
EXPECT_TRUE(miopen::range_distance(ref_rstd) == miopen::range_distance(rstd));
|
|
EXPECT_TRUE(error < threshold * 2000) << "Error rstd beyond tolerance Error:" << error
|
|
<< ", Thresholdx2000: " << threshold * 2000;
|
|
}
|
|
GroupNormTestCase groupnorm_config;
|
|
|
|
tensor<T> input;
|
|
tensor<T> weight;
|
|
tensor<T> bias;
|
|
tensor<T> output;
|
|
tensor<T> mean;
|
|
tensor<T> rstd;
|
|
|
|
tensor<T> ref_output;
|
|
tensor<T> ref_mean;
|
|
tensor<T> ref_rstd;
|
|
|
|
miopen::Allocator::ManageDataPtr input_dev;
|
|
miopen::Allocator::ManageDataPtr weight_dev;
|
|
miopen::Allocator::ManageDataPtr bias_dev;
|
|
miopen::Allocator::ManageDataPtr output_dev;
|
|
miopen::Allocator::ManageDataPtr mean_dev;
|
|
miopen::Allocator::ManageDataPtr rstd_dev;
|
|
|
|
size_t num_groups;
|
|
float eps;
|
|
miopenNormMode_t mode;
|
|
};
|