mirror of
https://github.com/ROCm/composable_kernel.git
synced 2026-05-18 03:49:41 +00:00
Clean up conv example, Instances, profiler and test (#324)
* convnd_fwd fp16 example
* update example
* update example
* update instance
* updating refernce conv
* update reference conv
* update conv fwd profiler
* update conv 1d and 3d instance
* update include path
* clean
* update profiler for conv bwd data and weight
* update conv bwd weight
* clean
* update conv example
* update profiler for conv bwd weight
* update ckprofiler for conv bwd data
* fix reference conv bwd data bug; update conv bwd data test
* update examples
* fix initialization issue
* update test for conv fwd
* clean
* clean
* remove test case too sensitive to error threshhold
* fix test
* clean
* fix build
* adding conv multiple d
* adding conv multiple D
* add matrix padder
* add gemm padding to convnd
* adding group conv
* update gemm multi-d
* refactor
* refactor
* refactor
* clean
* clean
* refactor
* refactor
* reorg
* add ds
* add bias
* clean
* add G
* adding group
* adding group
* adding group
* update Tensor
* clean
* update example
* update DeviceGemmMultipleD_Xdl_CShuffle
* update conv bwd-data and bwd-weight
* upate contraction example
* update gemm and batch gemm with e permute
* fix example build
* instance for grouped conv1d
* update example
* adding group conv instance
* update gemm bilinear instance
* update gemm+add+add+fastgelu instance
* update profiler
* update profiler
* update test
* update test and client example
* clean
* add grouped conv into profiler
* update profiler
* clean
* add test grouped conv, update all conv test to gtest
* update test
[ROCm/composable_kernel commit: 500fa99512]
This commit is contained in:
Chao Liu
@@ -1,331 +1,241 @@
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// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved.
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#include <iostream>
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#include <numeric>
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#include <initializer_list>
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#include <cstdlib>
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#include <iostream>
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#include <initializer_list>
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#include <vector>
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#include <gtest/gtest.h>
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#include "profiler/include/profile_convnd_bwd_data_impl.hpp"
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#include "profiler/include/profile_conv_bwd_data_impl.hpp"
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int main()
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class TestConvndBwdData : public ::testing::Test
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{
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bool pass = true;
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// check 1d
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std::vector<ck::utils::conv::ConvParams> params;
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params.push_back({1, 128, 128, 256, {1}, {14}, {2}, {1}, {0}, {0}});
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params.push_back({1, 128, 128, 256, {3}, {28}, {1}, {1}, {1}, {1}});
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params.push_back({1, 128, 128, 256, {1}, {3}, {1}, {1}, {0}, {0}});
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protected:
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std::vector<ck::utils::conv::ConvParam> conv_params;
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};
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for(auto& param : params)
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// 1d
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TEST_F(TestConvndBwdData, Conv1dBwdData)
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{
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conv_params.clear();
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conv_params.push_back({1, 1, 128, 128, 256, {1}, {14}, {2}, {1}, {0}, {0}});
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conv_params.push_back({1, 1, 128, 128, 256, {3}, {28}, {1}, {1}, {1}, {1}});
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conv_params.push_back({1, 1, 128, 128, 256, {1}, {3}, {1}, {1}, {0}, {0}});
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for(auto& param : conv_params)
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{
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pass &= ck::profiler::profile_convnd_bwd_data_impl<1,
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float,
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float,
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float,
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float,
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ck::tensor_layout::convolution::NWC,
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ck::tensor_layout::convolution::KXC,
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ck::tensor_layout::convolution::NWK>(
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true, // do_verification
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1, // init_method
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false, // do_log
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false, // time_kernel
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param.N_,
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param.K_,
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param.C_,
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param.input_spatial_lengths_,
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param.filter_spatial_lengths_,
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param.GetOutputSpatialLengths(),
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param.conv_filter_strides_,
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param.conv_filter_dilations_,
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param.input_left_pads_,
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param.input_right_pads_);
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bool pass;
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pass &= ck::profiler::profile_convnd_bwd_data_impl<1,
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ck::half_t,
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ck::half_t,
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ck::half_t,
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float,
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ck::tensor_layout::convolution::NWC,
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ck::tensor_layout::convolution::KXC,
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ck::tensor_layout::convolution::NWK>(
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true, // do_verification
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1, // init_method
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false, // do_log
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false, // time_kernel
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param.N_,
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param.K_,
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param.C_,
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param.input_spatial_lengths_,
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param.filter_spatial_lengths_,
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param.GetOutputSpatialLengths(),
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param.conv_filter_strides_,
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param.conv_filter_dilations_,
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param.input_left_pads_,
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param.input_right_pads_);
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// fp32
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pass = ck::profiler::profile_conv_bwd_data_impl<1,
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ck::tensor_layout::convolution::NWC,
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ck::tensor_layout::convolution::KXC,
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ck::tensor_layout::convolution::NWK,
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float,
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float,
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float>(true, // do_verification
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1, // init_method
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false, // do_log
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false, // time_kernel
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param);
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pass &= ck::profiler::profile_convnd_bwd_data_impl<1,
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ck::bhalf_t,
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ck::bhalf_t,
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ck::bhalf_t,
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float,
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ck::tensor_layout::convolution::NWC,
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ck::tensor_layout::convolution::KXC,
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ck::tensor_layout::convolution::NWK>(
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true, // do_verification
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1, // init_method
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false, // do_log
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false, // time_kernel
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param.N_,
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param.K_,
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param.C_,
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param.input_spatial_lengths_,
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param.filter_spatial_lengths_,
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param.GetOutputSpatialLengths(),
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param.conv_filter_strides_,
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param.conv_filter_dilations_,
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param.input_left_pads_,
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param.input_right_pads_);
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EXPECT_TRUE(pass);
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pass &= ck::profiler::profile_convnd_bwd_data_impl<1,
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int8_t,
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int8_t,
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int8_t,
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int,
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ck::tensor_layout::convolution::NWC,
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ck::tensor_layout::convolution::KXC,
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ck::tensor_layout::convolution::NWK>(
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true, // do_verification
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1, // init_method
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false, // do_log
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false, // time_kernel
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param.N_,
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param.K_,
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param.C_,
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param.input_spatial_lengths_,
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param.filter_spatial_lengths_,
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param.GetOutputSpatialLengths(),
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param.conv_filter_strides_,
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param.conv_filter_dilations_,
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param.input_left_pads_,
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param.input_right_pads_);
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}
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// fp16
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pass = ck::profiler::profile_conv_bwd_data_impl<1,
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ck::tensor_layout::convolution::NWC,
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ck::tensor_layout::convolution::KXC,
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ck::tensor_layout::convolution::NWK,
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ck::half_t,
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ck::half_t,
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ck::half_t>(true, // do_verification
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1, // init_method
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false, // do_log
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false, // time_kernel
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param);
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// check 2d
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params.clear();
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params.push_back({2, 128, 128, 256, {1, 1}, {7, 7}, {2, 2}, {1, 1}, {0, 0}, {0, 0}});
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params.push_back({2, 128, 128, 256, {3, 3}, {14, 14}, {1, 1}, {1, 1}, {1, 1}, {1, 1}});
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params.push_back({2, 128, 128, 256, {1, 1}, {3, 3}, {1, 1}, {1, 1}, {0, 0}, {0, 0}});
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EXPECT_TRUE(pass);
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for(auto& param : params)
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{
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pass &= ck::profiler::profile_convnd_bwd_data_impl<2,
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float,
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float,
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float,
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float,
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ck::tensor_layout::convolution::NHWC,
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ck::tensor_layout::convolution::KYXC,
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ck::tensor_layout::convolution::NHWK>(
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true, // do_verification
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1, // init_method
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false, // do_log
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false, // time_kernel
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param.N_,
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param.K_,
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param.C_,
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param.input_spatial_lengths_,
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param.filter_spatial_lengths_,
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param.GetOutputSpatialLengths(),
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param.conv_filter_strides_,
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param.conv_filter_dilations_,
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param.input_left_pads_,
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param.input_right_pads_);
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// bf16
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pass = ck::profiler::profile_conv_bwd_data_impl<1,
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ck::tensor_layout::convolution::NWC,
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ck::tensor_layout::convolution::KXC,
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ck::tensor_layout::convolution::NWK,
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ck::bhalf_t,
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ck::bhalf_t,
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ck::bhalf_t>(true, // do_verification
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1, // init_method
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false, // do_log
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false, // time_kernel
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param);
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pass &= ck::profiler::profile_convnd_bwd_data_impl<2,
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ck::half_t,
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ck::half_t,
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ck::half_t,
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float,
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ck::tensor_layout::convolution::NHWC,
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ck::tensor_layout::convolution::KYXC,
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ck::tensor_layout::convolution::NHWK>(
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true, // do_verification
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1, // init_method
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false, // do_log
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false, // time_kernel
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param.N_,
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param.K_,
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param.C_,
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param.input_spatial_lengths_,
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param.filter_spatial_lengths_,
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param.GetOutputSpatialLengths(),
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param.conv_filter_strides_,
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param.conv_filter_dilations_,
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param.input_left_pads_,
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param.input_right_pads_);
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EXPECT_TRUE(pass);
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pass &= ck::profiler::profile_convnd_bwd_data_impl<2,
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ck::bhalf_t,
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ck::bhalf_t,
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ck::bhalf_t,
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float,
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ck::tensor_layout::convolution::NHWC,
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ck::tensor_layout::convolution::KYXC,
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ck::tensor_layout::convolution::NHWK>(
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true, // do_verification
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1, // init_method
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false, // do_log
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false, // time_kernel
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param.N_,
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param.K_,
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param.C_,
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param.input_spatial_lengths_,
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param.filter_spatial_lengths_,
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param.GetOutputSpatialLengths(),
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param.conv_filter_strides_,
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param.conv_filter_dilations_,
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param.input_left_pads_,
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param.input_right_pads_);
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// int8
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pass = ck::profiler::profile_conv_bwd_data_impl<1,
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ck::tensor_layout::convolution::NWC,
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ck::tensor_layout::convolution::KXC,
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ck::tensor_layout::convolution::NWK,
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int8_t,
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int8_t,
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int8_t>(true, // do_verification
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1, // init_method
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false, // do_log
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false, // time_kernel
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param);
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pass &= ck::profiler::profile_convnd_bwd_data_impl<2,
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int8_t,
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int8_t,
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int8_t,
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int,
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ck::tensor_layout::convolution::NHWC,
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ck::tensor_layout::convolution::KYXC,
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ck::tensor_layout::convolution::NHWK>(
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true, // do_verification
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1, // init_method
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false, // do_log
|
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false, // time_kernel
|
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param.N_,
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param.K_,
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param.C_,
|
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param.input_spatial_lengths_,
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param.filter_spatial_lengths_,
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param.GetOutputSpatialLengths(),
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param.conv_filter_strides_,
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param.conv_filter_dilations_,
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param.input_left_pads_,
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param.input_right_pads_);
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}
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// check 3d
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params.clear();
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params.push_back(
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{3, 128, 128, 256, {1, 1, 1}, {7, 7, 7}, {2, 2, 2}, {1, 1, 1}, {0, 0, 0}, {0, 0, 0}});
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params.push_back(
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{3, 128, 128, 256, {3, 3, 3}, {14, 14, 14}, {1, 1, 1}, {1, 1, 1}, {1, 1, 1}, {1, 1, 1}});
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params.push_back(
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{3, 128, 128, 256, {1, 1, 1}, {3, 3, 3}, {1, 1, 1}, {1, 1, 1}, {0, 0, 0}, {0, 0, 0}});
|
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|
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for(auto& param : params)
|
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{
|
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pass &= ck::profiler::profile_convnd_bwd_data_impl<3,
|
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float,
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float,
|
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float,
|
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float,
|
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ck::tensor_layout::convolution::NDHWC,
|
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ck::tensor_layout::convolution::KZYXC,
|
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ck::tensor_layout::convolution::NDHWK>(
|
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true, // do_verification
|
||||
1, // init_method
|
||||
false, // do_log
|
||||
false, // time_kernel
|
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param.N_,
|
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param.K_,
|
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param.C_,
|
||||
param.input_spatial_lengths_,
|
||||
param.filter_spatial_lengths_,
|
||||
param.GetOutputSpatialLengths(),
|
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param.conv_filter_strides_,
|
||||
param.conv_filter_dilations_,
|
||||
param.input_left_pads_,
|
||||
param.input_right_pads_);
|
||||
|
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pass &= ck::profiler::profile_convnd_bwd_data_impl<3,
|
||||
ck::half_t,
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ck::half_t,
|
||||
ck::half_t,
|
||||
float,
|
||||
ck::tensor_layout::convolution::NDHWC,
|
||||
ck::tensor_layout::convolution::KZYXC,
|
||||
ck::tensor_layout::convolution::NDHWK>(
|
||||
true, // do_verification
|
||||
1, // init_method
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param.N_,
|
||||
param.K_,
|
||||
param.C_,
|
||||
param.input_spatial_lengths_,
|
||||
param.filter_spatial_lengths_,
|
||||
param.GetOutputSpatialLengths(),
|
||||
param.conv_filter_strides_,
|
||||
param.conv_filter_dilations_,
|
||||
param.input_left_pads_,
|
||||
param.input_right_pads_);
|
||||
|
||||
pass &= ck::profiler::profile_convnd_bwd_data_impl<3,
|
||||
ck::bhalf_t,
|
||||
ck::bhalf_t,
|
||||
ck::bhalf_t,
|
||||
float,
|
||||
ck::tensor_layout::convolution::NDHWC,
|
||||
ck::tensor_layout::convolution::KZYXC,
|
||||
ck::tensor_layout::convolution::NDHWK>(
|
||||
true, // do_verification
|
||||
1, // init_method
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param.N_,
|
||||
param.K_,
|
||||
param.C_,
|
||||
param.input_spatial_lengths_,
|
||||
param.filter_spatial_lengths_,
|
||||
param.GetOutputSpatialLengths(),
|
||||
param.conv_filter_strides_,
|
||||
param.conv_filter_dilations_,
|
||||
param.input_left_pads_,
|
||||
param.input_right_pads_);
|
||||
|
||||
pass &= ck::profiler::profile_convnd_bwd_data_impl<3,
|
||||
int8_t,
|
||||
int8_t,
|
||||
int8_t,
|
||||
int,
|
||||
ck::tensor_layout::convolution::NDHWC,
|
||||
ck::tensor_layout::convolution::KZYXC,
|
||||
ck::tensor_layout::convolution::NDHWK>(
|
||||
true, // do_verification
|
||||
1, // init_method
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param.N_,
|
||||
param.K_,
|
||||
param.C_,
|
||||
param.input_spatial_lengths_,
|
||||
param.filter_spatial_lengths_,
|
||||
param.GetOutputSpatialLengths(),
|
||||
param.conv_filter_strides_,
|
||||
param.conv_filter_dilations_,
|
||||
param.input_left_pads_,
|
||||
param.input_right_pads_);
|
||||
}
|
||||
|
||||
if(pass)
|
||||
{
|
||||
std::cout << "test convnd bwd : Pass" << std::endl;
|
||||
return 0;
|
||||
}
|
||||
else
|
||||
{
|
||||
std::cout << "test convnd bwd: Fail " << std::endl;
|
||||
return -1;
|
||||
EXPECT_TRUE(pass);
|
||||
}
|
||||
}
|
||||
|
||||
// 2d
|
||||
TEST_F(TestConvndBwdData, Conv2dBwdData)
|
||||
{
|
||||
conv_params.clear();
|
||||
conv_params.push_back({2, 1, 128, 128, 256, {1, 1}, {7, 7}, {2, 2}, {1, 1}, {0, 0}, {0, 0}});
|
||||
conv_params.push_back({2, 1, 128, 128, 256, {3, 3}, {14, 14}, {1, 1}, {1, 1}, {1, 1}, {1, 1}});
|
||||
conv_params.push_back({2, 1, 128, 128, 256, {1, 1}, {3, 3}, {1, 1}, {1, 1}, {0, 0}, {0, 0}});
|
||||
|
||||
for(auto& param : conv_params)
|
||||
{
|
||||
bool pass;
|
||||
|
||||
// fp32
|
||||
pass = ck::profiler::profile_conv_bwd_data_impl<2,
|
||||
ck::tensor_layout::convolution::NHWC,
|
||||
ck::tensor_layout::convolution::KYXC,
|
||||
ck::tensor_layout::convolution::NHWK,
|
||||
float,
|
||||
float,
|
||||
float>(true, // do_verification
|
||||
1, // init_method
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param);
|
||||
|
||||
EXPECT_TRUE(pass);
|
||||
|
||||
// fp16
|
||||
pass = ck::profiler::profile_conv_bwd_data_impl<2,
|
||||
ck::tensor_layout::convolution::NHWC,
|
||||
ck::tensor_layout::convolution::KYXC,
|
||||
ck::tensor_layout::convolution::NHWK,
|
||||
ck::half_t,
|
||||
ck::half_t,
|
||||
ck::half_t>(true, // do_verification
|
||||
1, // init_method
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param);
|
||||
|
||||
EXPECT_TRUE(pass);
|
||||
|
||||
// bf16
|
||||
pass = ck::profiler::profile_conv_bwd_data_impl<2,
|
||||
ck::tensor_layout::convolution::NHWC,
|
||||
ck::tensor_layout::convolution::KYXC,
|
||||
ck::tensor_layout::convolution::NHWK,
|
||||
ck::bhalf_t,
|
||||
ck::bhalf_t,
|
||||
ck::bhalf_t>(true, // do_verification
|
||||
1, // init_method
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param);
|
||||
|
||||
EXPECT_TRUE(pass);
|
||||
|
||||
// int8
|
||||
pass = ck::profiler::profile_conv_bwd_data_impl<2,
|
||||
ck::tensor_layout::convolution::NHWC,
|
||||
ck::tensor_layout::convolution::KYXC,
|
||||
ck::tensor_layout::convolution::NHWK,
|
||||
int8_t,
|
||||
int8_t,
|
||||
int8_t>(true, // do_verification
|
||||
1, // init_method
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param);
|
||||
|
||||
EXPECT_TRUE(pass);
|
||||
}
|
||||
}
|
||||
|
||||
// 3d
|
||||
TEST_F(TestConvndBwdData, Conv3dBwdData)
|
||||
{
|
||||
conv_params.clear();
|
||||
conv_params.push_back(
|
||||
{3, 1, 128, 128, 256, {1, 1, 1}, {7, 7, 7}, {2, 2, 2}, {1, 1, 1}, {0, 0, 0}, {0, 0, 0}});
|
||||
conv_params.push_back(
|
||||
{3, 1, 128, 128, 256, {3, 3, 3}, {14, 14, 3}, {1, 1, 1}, {1, 1, 1}, {1, 1, 1}, {1, 1, 1}});
|
||||
conv_params.push_back(
|
||||
{3, 1, 128, 128, 256, {1, 1, 1}, {3, 3, 3}, {1, 1, 1}, {1, 1, 1}, {0, 0, 0}, {0, 0, 0}});
|
||||
|
||||
for(auto& param : conv_params)
|
||||
{
|
||||
bool pass;
|
||||
|
||||
// fp32
|
||||
pass = ck::profiler::profile_conv_bwd_data_impl<3,
|
||||
ck::tensor_layout::convolution::NDHWC,
|
||||
ck::tensor_layout::convolution::KZYXC,
|
||||
ck::tensor_layout::convolution::NDHWK,
|
||||
float,
|
||||
float,
|
||||
float>(true, // do_verification
|
||||
1, // init_method
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param);
|
||||
|
||||
EXPECT_TRUE(pass);
|
||||
|
||||
// fp16
|
||||
pass = ck::profiler::profile_conv_bwd_data_impl<3,
|
||||
ck::tensor_layout::convolution::NDHWC,
|
||||
ck::tensor_layout::convolution::KZYXC,
|
||||
ck::tensor_layout::convolution::NDHWK,
|
||||
ck::half_t,
|
||||
ck::half_t,
|
||||
ck::half_t>(true, // do_verification
|
||||
1, // init_method
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param);
|
||||
|
||||
EXPECT_TRUE(pass);
|
||||
|
||||
// bf16
|
||||
pass = ck::profiler::profile_conv_bwd_data_impl<3,
|
||||
ck::tensor_layout::convolution::NDHWC,
|
||||
ck::tensor_layout::convolution::KZYXC,
|
||||
ck::tensor_layout::convolution::NDHWK,
|
||||
ck::bhalf_t,
|
||||
ck::bhalf_t,
|
||||
ck::bhalf_t>(true, // do_verification
|
||||
1, // init_method
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param);
|
||||
|
||||
EXPECT_TRUE(pass);
|
||||
|
||||
// int8
|
||||
pass = ck::profiler::profile_conv_bwd_data_impl<3,
|
||||
ck::tensor_layout::convolution::NDHWC,
|
||||
ck::tensor_layout::convolution::KZYXC,
|
||||
ck::tensor_layout::convolution::NDHWK,
|
||||
int8_t,
|
||||
int8_t,
|
||||
int8_t>(true, // do_verification
|
||||
1, // init_method
|
||||
false, // do_log
|
||||
false, // time_kernel
|
||||
param);
|
||||
|
||||
EXPECT_TRUE(pass);
|
||||
}
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user