CUTLASS 2.9 (#468)

This commit is contained in:
Andrew Kerr
2022-04-23 15:02:38 -04:00
committed by GitHub
parent dd571f0edb
commit 12f4108ac2
1100 changed files with 94818 additions and 20385 deletions
+125 -42
View File
@@ -1,24 +1,30 @@
/***************************************************************************************************
* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
* Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: BSD-3-Clause
*
* Redistribution and use in source and binary forms, with or without modification, are permitted
* provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright notice, this list of
* conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright notice, this list of
* conditions and the following disclaimer in the documentation and/or other materials
* provided with the distribution.
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
* to endorse or promote products derived from this software without specific prior written
* permission.
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
* FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
* OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
* STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* 1. Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
*
* 2. Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* 3. Neither the name of the copyright holder nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
**************************************************************************************************/
@@ -281,6 +287,7 @@ public:
EXPECT_TRUE(status == cutlass::Status::kSuccess);
if (status != cutlass::Status::kSuccess) {
std::cerr << "Failed to run." << std::endl;
return false;
}
@@ -452,33 +459,36 @@ public:
EXPECT_TRUE(passed);
std::stringstream ss_problem_size_text;
ss_problem_size_text << "nhwc_"
<< problem_size.N << "x"
<< problem_size.H << "x"
<< problem_size.W << "x"
<< problem_size.C
<< "_krsc_"
<< problem_size.K << "x"
<< problem_size.R << "x"
<< problem_size.S << "x"
<< problem_size.C
<< "_padding_"
<< problem_size.pad_h << "x"
<< problem_size.pad_w
<< "_stride_"
<< problem_size.stride_h << "x"
<< problem_size.stride_w
<< "_dilation_"
<< problem_size.dilation_h << "x"
<< problem_size.dilation_w << "_"
<< (problem_size.mode == cutlass::conv::Mode::kCrossCorrelation ? "xcorr_" : "conv_");
if (!passed) {
std::stringstream fname;
fname << "error_Conv2d_ImplicitGemm_device_"
<< (split_k_mode == cutlass::conv::SplitKMode::kSerial ? "serial_reduction_" : "parallel_reduction_")
<< (Conv2d::kConvolutionalOperator == cutlass::conv::Operator::kFprop ? "fprop_" :
(Conv2d::kConvolutionalOperator == cutlass::conv::Operator::kDgrad ? "dgrad_" : "wgrad_"))
<< "nhwc_"
<< problem_size.N << "x"
<< problem_size.H << "x"
<< problem_size.W << "x"
<< problem_size.C
<< "_krsc_"
<< problem_size.K << "x"
<< problem_size.R << "x"
<< problem_size.S << "x"
<< problem_size.C
<< "_padding_"
<< problem_size.pad_h << "x"
<< problem_size.pad_w
<< "_stride_"
<< problem_size.stride_h << "x"
<< problem_size.stride_w
<< "_dilation_"
<< problem_size.dilation_h << "x"
<< problem_size.dilation_w << "_"
<< (problem_size.mode == cutlass::conv::Mode::kCrossCorrelation ? "xcorr_" : "conv_")
(Conv2d::kConvolutionalOperator == cutlass::conv::Operator::kDgrad ? "dgrad_" : "wgrad_"))
<< ss_problem_size_text.str()
<< Conv2d::ThreadblockShape::kM << "x"
<< Conv2d::ThreadblockShape::kN << "x"
<< Conv2d::ThreadblockShape::kK << "_"
@@ -515,6 +525,49 @@ public:
};
/////////////////////////////////////////////////////////////////////////////////////////////////////////////
template <typename ImplicitGemm>
bool TestSpecificConv2d(
const Conv2dProblemVector & problem_sizes) {
bool passed = true;
//
// Testbed object
//
TestbedConv2d<ImplicitGemm> testbed;
// Sweep conv2d problem sizes (split-k-mode=kSerial, split-k-slice=1, alpha=1.0, beta=0.0)
for(auto conv_problem : problem_sizes) {
//
// Test
//
// test mode = xcross
passed = testbed.run(
conv_problem,
cutlass::conv::SplitKMode::kSerial);
if (!passed) {
return false;
}
// test mode = convolution
passed = testbed.run(
conv_problem.reset_mode(cutlass::conv::Mode::kConvolution),
cutlass::conv::SplitKMode::kSerial);
if (!passed) {
return false;
}
}
return true;
}
/////////////////////////////////////////////////////////////////////////////////////////////////////////
// TestAllConv: Runs cutlass::conv::device::ImplicitGemmConvolution operator and compares it with reference
// TestAllConv runs conv operator on default conv problem sizes from test::conv::device::TestbedConv2dProblemSizes
@@ -589,6 +642,22 @@ bool TestAllConv2d(
}
}
// Fixed channels algorithm requires channel count to match access size
if (ImplicitGemm::ImplicitGemmKernel::Mma::IteratorA::kIteratorAlgorithm ==
cutlass::conv::IteratorAlgorithm::kFixedChannels) {
if (conv_problem.C != ImplicitGemm::ImplicitGemmKernel::Mma::IteratorA::AccessType::kElements) {
continue;
}
}
// Few channels algorithm requires channel count to match access size
if (ImplicitGemm::ImplicitGemmKernel::Mma::IteratorA::kIteratorAlgorithm ==
cutlass::conv::IteratorAlgorithm::kFewChannels) {
if (conv_problem.C % ImplicitGemm::ImplicitGemmKernel::Mma::IteratorA::AccessType::kElements) {
continue;
}
}
// CUTLASS DGRAD's *strided* stride specialization supports all stride {stride_h, stride_w}
// Although strided dgrad works for all stride combinations, we are only going
// to run strided dgrad for non-unity strides
@@ -615,7 +684,7 @@ bool TestAllConv2d(
if (!passed) {
return false;
}
// test mode = convolution
passed = testbed.run(
conv_problem.reset_mode(cutlass::conv::Mode::kConvolution),
@@ -631,8 +700,21 @@ bool TestAllConv2d(
return true;
}
}
// Small-channels convolution can't run here.
if (ImplicitGemm::ImplicitGemmKernel::Mma::IteratorA::kIteratorAlgorithm ==
cutlass::conv::IteratorAlgorithm::kFixedChannels) {
return true;
}
// Small-channels convolution can't run here.
if (ImplicitGemm::ImplicitGemmKernel::Mma::IteratorA::kIteratorAlgorithm ==
cutlass::conv::IteratorAlgorithm::kFewChannels) {
return true;
}
// CUTLASS DGRAD's *strided* specialization does not support split-k mode
if ((ImplicitGemm::kConvolutionalOperator ==
cutlass::conv::Operator::kDgrad) &&
@@ -656,7 +738,6 @@ bool TestAllConv2d(
return passed;
}
// Sweep split-k-slice using serial and prallel reduction with non-unity alpha and non-zero beta for
// a single conv2d problem size. Convolution unit tests take a long time to run so only sweep parameters
// which are abolutely neccessary to catch functional bugs. The below code does provide option to sweep
@@ -719,3 +800,5 @@ bool TestAllConv2d(
} // namespace device
} // namespace conv
} // namespace test
/////////////////////////////////////////////////////////////////////////////////////////////////