CUTLASS 2.4 (Implicit GEMM convolution) (#147)
CUTLASS 2.4 (Implicit GEMM Convolution) Co-authored-by: Manish Gupta <manigupta@nvidia.com>, Haicheng Wu <haichengw@nvidia.com>, Dustyn Blasig <dblasig@nvidia.com>, Andrew Kerr <akerr@nvidia.com>
This commit is contained in:
Manish Gupta
co-authored by
Manish Gupta <manigupta@nvidia.com>, Haicheng Wu <haichengw@nvidia.com>, Dustyn Blasig <dblasig@nvidia.com>, Andrew Kerr <akerr@nvidia.com>
Manish Gupta <manigupta@nvidia.com>, Haicheng Wu <haichengw@nvidia.com>, Dustyn Blasig <dblasig@nvidia.com>, Andrew Kerr <akerr@nvidia.com>
parent
c2b80ad4e4
commit
6615010cd0
@@ -0,0 +1,248 @@
|
||||
/***************************************************************************************************
|
||||
* Copyright (c) 2017-2020, NVIDIA CORPORATION. All rights reserved.
|
||||
*
|
||||
* 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.
|
||||
*
|
||||
* 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 TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
||||
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
||||
*
|
||||
**************************************************************************************************/
|
||||
/*! \file
|
||||
\brief Implicit GEMM testbed sizes for Conv2d problem
|
||||
*/
|
||||
#pragma once
|
||||
|
||||
#include "../../common/cutlass_unit_test.h"
|
||||
|
||||
#include "cutlass/cutlass.h"
|
||||
|
||||
#include "cutlass/aligned_buffer.h"
|
||||
#include "cutlass/numeric_types.h"
|
||||
#include "cutlass/layout/matrix.h"
|
||||
#include "cutlass/layout/tensor.h"
|
||||
#include "cutlass/layout/pitch_linear.h"
|
||||
#include "cutlass/core_io.h"
|
||||
#include "cutlass/util/host_tensor.h"
|
||||
#include "cutlass/util/tensor_view_io.h"
|
||||
#include "cutlass/conv/convolution.h"
|
||||
#include "cutlass/conv/conv2d_problem_size.h"
|
||||
#include "cutlass/conv/conv3d_problem_size.h"
|
||||
|
||||
namespace test {
|
||||
namespace conv {
|
||||
namespace device {
|
||||
|
||||
using Conv3dProblemVector = std::vector<cutlass::conv::Conv3dProblemSize>;
|
||||
|
||||
////////////////////////////////////////////////////////////////////////////
|
||||
/// Structure TestbedConv3dProblemSizes initializes and holds conv default and
|
||||
/// important network sizes
|
||||
////////////////////////////////////////////////////////////////////////////
|
||||
struct TestbedConv3dProblemSizes {
|
||||
|
||||
//
|
||||
// Data members
|
||||
//
|
||||
int minimum_channel_size;
|
||||
Conv3dProblemVector conv3d_default_sizes;
|
||||
Conv3dProblemVector conv3d_vnet_medical_sizes;
|
||||
|
||||
//
|
||||
// Methods
|
||||
//
|
||||
/// Default ctor
|
||||
TestbedConv3dProblemSizes(int minimum_channel_size_ = 64): minimum_channel_size (minimum_channel_size_) {
|
||||
|
||||
initialize_conv3d_default_sizes();
|
||||
initialize_conv3d_vnet_medical_sizes(conv3d_vnet_medical_sizes, 1 /*batch-size*/);
|
||||
|
||||
filter_all();
|
||||
}
|
||||
|
||||
/// Eliminates some illegal cases
|
||||
void filter_all() {
|
||||
|
||||
Conv3dProblemVector *problems_vectors[] = {
|
||||
&conv3d_default_sizes,
|
||||
&conv3d_vnet_medical_sizes
|
||||
};
|
||||
|
||||
for (Conv3dProblemVector *problems : problems_vectors) {
|
||||
Conv3dProblemVector filtered;
|
||||
|
||||
for (cutlass::conv::Conv3dProblemSize const & problem : *problems) {
|
||||
if (!(problem.C % minimum_channel_size)) {
|
||||
filtered.push_back(problem);
|
||||
}
|
||||
}
|
||||
|
||||
*problems = filtered;
|
||||
}
|
||||
}
|
||||
|
||||
// Add a few standard convolution problem sizes
|
||||
void initialize_conv3d_default_sizes() {
|
||||
|
||||
conv3d_default_sizes.push_back(cutlass::conv::Conv3dProblemSize(
|
||||
{1, 1, 3, 3, minimum_channel_size}, // input size (NDHWC)
|
||||
{8, 1, 1, 1, minimum_channel_size}, // filter size (KTRSC)
|
||||
cutlass::Coord<3>({0, 0, 0}), // padding (pad_d, pad_h, pad_w)
|
||||
cutlass::Coord<3>({1, 1, 1}), // stride (stride_d, stride_h, stride_w)
|
||||
cutlass::Coord<3>({1, 1, 1}) // dilation (dilation_d, dilation_h, dilation_w)
|
||||
));
|
||||
|
||||
conv3d_default_sizes.push_back(cutlass::conv::Conv3dProblemSize(
|
||||
{1, 1, 16, 16, minimum_channel_size}, // input size (NDHWC)
|
||||
{8, 1, 3, 3, minimum_channel_size}, // filter size (KTRSC)
|
||||
cutlass::Coord<3>({0, 1, 1}), // padding (pad_d, pad_h, pad_w)
|
||||
cutlass::Coord<3>({1, 1, 1}), // stride (stride_d, stride_h, stride_w)
|
||||
cutlass::Coord<3>({1, 1, 1}) // dilation (dilation_d, dilation_h, dilation_w)
|
||||
));
|
||||
|
||||
conv3d_default_sizes.push_back(cutlass::conv::Conv3dProblemSize(
|
||||
{1, 1, 15, 19, 160}, // input size (NDHWC)
|
||||
{224, 1, 3, 6, 160}, // filter size (KTRSC)
|
||||
cutlass::Coord<3>({0, 0, 0}), // padding (pad_d, pad_h, pad_w)
|
||||
cutlass::Coord<3>({1, 1, 1}), // stride (stride_d, stride_h, stride_w)
|
||||
cutlass::Coord<3>({1, 1, 1}) // dilation (dilation_d, dilation_h, dilation_w)
|
||||
));
|
||||
|
||||
conv3d_default_sizes.push_back(cutlass::conv::Conv3dProblemSize(
|
||||
{1, 2, 1, 1, minimum_channel_size}, // input size (NDHWC)
|
||||
{8, 2, 1, 1, minimum_channel_size}, // filter size (KTRSC)
|
||||
cutlass::Coord<3>({0, 0, 0}), // padding (pad_d, pad_h, pad_w)
|
||||
cutlass::Coord<3>({1, 1, 1}), // stride (stride_d, stride_h, stride_w)
|
||||
cutlass::Coord<3>({1, 1, 1}) // dilation (dilation_d, dilation_h, dilation_w)
|
||||
));
|
||||
|
||||
conv3d_default_sizes.push_back(cutlass::conv::Conv3dProblemSize(
|
||||
{1, 1, 7, 7, minimum_channel_size}, // input size (NDHWC)
|
||||
{16, 1, 3, 3, minimum_channel_size}, // filter size (KTRSC)
|
||||
cutlass::Coord<3>({0, 0, 0}), // padding (pad_d, pad_h, pad_w)
|
||||
cutlass::Coord<3>({1, 1, 1}), // stride (stride_d, stride_h, stride_w)
|
||||
cutlass::Coord<3>({1, 1, 1}) // dilation (dilation_d, dilation_h, dilation_w)
|
||||
));
|
||||
|
||||
conv3d_default_sizes.push_back(cutlass::conv::Conv3dProblemSize(
|
||||
{1, 11, 15, 19, 64}, // input size (NDHWC)
|
||||
{32, 4, 3, 6, 64}, // filter size (KTRSC)
|
||||
cutlass::Coord<3>({2, 1, 3}), // padding (pad_d, pad_h, pad_w)
|
||||
cutlass::Coord<3>({1, 1, 1}), // stride (stride_d, stride_h, stride_w)
|
||||
cutlass::Coord<3>({1, 1, 1}) // dilation (dilation_d, dilation_h, dilation_w)
|
||||
));
|
||||
}
|
||||
|
||||
// Add vnet layers to unit testing sizes
|
||||
void initialize_conv3d_vnet_medical_sizes(Conv3dProblemVector &conv3d_problem_vector, int batch_size = 1) {
|
||||
|
||||
conv3d_problem_vector.push_back(cutlass::conv::Conv3dProblemSize(
|
||||
{batch_size, 32, 32, 32, 16}, // input size (NDHWC)
|
||||
{32, 2, 2, 2, 16}, // filter size (KTRSC)
|
||||
cutlass::Coord<3>({0, 0, 0}), // padding (pad_d, pad_h, pad_w)
|
||||
cutlass::Coord<3>({2, 2, 2}), // stride (stride_d, stride_h, stride_w)
|
||||
cutlass::Coord<3>({1, 1, 1}) // dilation (dilation_d, dilation_h, dilation_w)
|
||||
));
|
||||
|
||||
|
||||
conv3d_problem_vector.push_back(cutlass::conv::Conv3dProblemSize(
|
||||
{batch_size, 16, 16, 16, 32}, // input size (NDHWC)
|
||||
{32, 3, 3, 3, 32}, // filter size (KTRSC)
|
||||
cutlass::Coord<3>({1, 1, 1}), // padding (pad_d, pad_h, pad_w)
|
||||
cutlass::Coord<3>({1, 1, 1}), // stride (stride_d, stride_h, stride_w)
|
||||
cutlass::Coord<3>({1, 1, 1}) // dilation (dilation_d, dilation_h, dilation_w)
|
||||
));
|
||||
|
||||
|
||||
conv3d_problem_vector.push_back(cutlass::conv::Conv3dProblemSize(
|
||||
{batch_size, 16, 16, 16, 32}, // input size (NDHWC)
|
||||
{64, 2, 2, 2, 32}, // filter size (KTRSC)
|
||||
cutlass::Coord<3>({0, 0, 0}), // padding (pad_d, pad_h, pad_w)
|
||||
cutlass::Coord<3>({2, 2, 2}), // stride (stride_d, stride_h, stride_w)
|
||||
cutlass::Coord<3>({1, 1, 1}) // dilation (dilation_d, dilation_h, dilation_w)
|
||||
));
|
||||
|
||||
|
||||
conv3d_problem_vector.push_back(cutlass::conv::Conv3dProblemSize(
|
||||
{batch_size, 8, 8, 8, 64}, // input size (NDHWC)
|
||||
{64, 3, 3, 3, 64}, // filter size (KTRSC)
|
||||
cutlass::Coord<3>({1, 1, 1}), // padding (pad_d, pad_h, pad_w)
|
||||
cutlass::Coord<3>({1, 1, 1}), // stride (stride_d, stride_h, stride_w)
|
||||
cutlass::Coord<3>({1, 1, 1}) // dilation (dilation_d, dilation_h, dilation_w)
|
||||
));
|
||||
|
||||
|
||||
conv3d_problem_vector.push_back(cutlass::conv::Conv3dProblemSize(
|
||||
{batch_size, 8, 8, 8, 64}, // input size (NDHWC)
|
||||
{128, 2, 2, 2, 64}, // filter size (KTRSC)
|
||||
cutlass::Coord<3>({0, 0, 0}), // padding (pad_d, pad_h, pad_w)
|
||||
cutlass::Coord<3>({2, 2, 2}), // stride (stride_d, stride_h, stride_w)
|
||||
cutlass::Coord<3>({1, 1, 1}) // dilation (dilation_d, dilation_h, dilation_w)
|
||||
));
|
||||
|
||||
|
||||
conv3d_problem_vector.push_back(cutlass::conv::Conv3dProblemSize(
|
||||
{batch_size, 4, 4, 4, 128}, // input size (NDHWC)
|
||||
{128, 3, 3, 3, 128}, // filter size (KTRSC)
|
||||
cutlass::Coord<3>({1, 1, 1}), // padding (pad_d, pad_h, pad_w)
|
||||
cutlass::Coord<3>({1, 1, 1}), // stride (stride_d, stride_h, stride_w)
|
||||
cutlass::Coord<3>({1, 1, 1}) // dilation (dilation_d, dilation_h, dilation_w)
|
||||
));
|
||||
|
||||
|
||||
conv3d_problem_vector.push_back(cutlass::conv::Conv3dProblemSize(
|
||||
{batch_size, 8, 8, 8, 128}, // input size (NDHWC)
|
||||
{128, 3, 3, 3, 128}, // filter size (KTRSC)
|
||||
cutlass::Coord<3>({1, 1, 1}), // padding (pad_d, pad_h, pad_w)
|
||||
cutlass::Coord<3>({1, 1, 1}), // stride (stride_d, stride_h, stride_w)
|
||||
cutlass::Coord<3>({1, 1, 1}) // dilation (dilation_d, dilation_h, dilation_w)
|
||||
));
|
||||
|
||||
|
||||
conv3d_problem_vector.push_back(cutlass::conv::Conv3dProblemSize(
|
||||
{batch_size, 16, 16, 16, 64}, // input size (NDHWC)
|
||||
{64, 3, 3, 3, 64}, // filter size (KTRSC)
|
||||
cutlass::Coord<3>({1, 1, 1}), // padding (pad_d, pad_h, pad_w)
|
||||
cutlass::Coord<3>({1, 1, 1}), // stride (stride_d, stride_h, stride_w)
|
||||
cutlass::Coord<3>({1, 1, 1}) // dilation (dilation_d, dilation_h, dilation_w)
|
||||
));
|
||||
|
||||
|
||||
conv3d_problem_vector.push_back(cutlass::conv::Conv3dProblemSize(
|
||||
{batch_size, 32, 32, 32, 16}, // input size (NDHWC)
|
||||
{64, 2, 2, 2, 16}, // filter size (KTRSC)
|
||||
cutlass::Coord<3>({0, 0, 0}), // padding (pad_d, pad_h, pad_w)
|
||||
cutlass::Coord<3>({2, 2, 2}), // stride (stride_d, stride_h, stride_w)
|
||||
cutlass::Coord<3>({1, 1, 1}) // dilation (dilation_d, dilation_h, dilation_w)
|
||||
));
|
||||
|
||||
|
||||
conv3d_problem_vector.push_back(cutlass::conv::Conv3dProblemSize(
|
||||
{batch_size, 16, 16, 16, 32}, // input size (NDHWC)
|
||||
{128, 2, 2, 2, 32}, // filter size (KTRSC)
|
||||
cutlass::Coord<3>({0, 0, 0}), // padding (pad_d, pad_h, pad_w)
|
||||
cutlass::Coord<3>({2, 2, 2}), // stride (stride_d, stride_h, stride_w)
|
||||
cutlass::Coord<3>({1, 1, 1}) // dilation (dilation_d, dilation_h, dilation_w)
|
||||
));
|
||||
|
||||
}
|
||||
|
||||
};
|
||||
|
||||
} // namespace device
|
||||
} // namespace conv
|
||||
} // namespace test
|
||||
Reference in New Issue
Block a user