92 lines
4.7 KiB
C++
92 lines
4.7 KiB
C++
/***************************************************************************************************
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* Copyright (c) 2017 - 2023 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: BSD-3-Clause
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions are met:
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*
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* 1. Redistributions of source code must retain the above copyright notice, this
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* list of conditions and the following disclaimer.
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*
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* 2. Redistributions in binary form must reproduce the above copyright notice,
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* this list of conditions and the following disclaimer in the documentation
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* and/or other materials provided with the distribution.
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*
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* 3. Neither the name of the copyright holder nor the names of its
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* contributors may be used to endorse or promote products derived from
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* this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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**************************************************************************************************/
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/* \file
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\brief Bind convolution related enum types to python
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*/
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#pragma once
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#include <pybind11/pybind11.h>
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#include <pybind11/stl_bind.h>
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#include "conv_problem_size.h"
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#include "host.h"
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#include "cutlass/conv/convolution.h"
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namespace py = pybind11;
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void bind_convolution(py::module &m) {
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//
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// Enumerate types
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// cutlass/include/cutlass/conv/convolution.h
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//
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/// Convolutional operator
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py::enum_<cutlass::conv::Operator>(m, "Operator", R"pbdoc(Convolutional operator)pbdoc")
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.value("fprop", cutlass::conv::Operator::kFprop, "Forward propagation")
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.value("dgrad", cutlass::conv::Operator::kDgrad, "Activation grad")
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.value("wgrad", cutlass::conv::Operator::kWgrad, "Weight grad");
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/// Distinguishes convolution from cross correlation
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py::enum_<cutlass::conv::Mode>(m, "Mode")
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.value("cross_correlation", cutlass::conv::Mode::kCrossCorrelation)
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.value("convolution", cutlass::conv::Mode::kConvolution);
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/// Selects among several implementation variants trading off performance with simplicity
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py::enum_<cutlass::conv::IteratorAlgorithm>(m, "IteratorAlgorithm",
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R"pbdoc(Selects among several implementation variants trading off performance with simplicity)pbdoc")
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.value("analytic", cutlass::conv::IteratorAlgorithm::kAnalytic, R"pbdoc(functionally correct in all cases but lower performance)pbdoc")
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.value("optimized", cutlass::conv::IteratorAlgorithm::kOptimized, R"pbdoc(optimized for R <= 32, S <= 32 and unity-stride dgrad)pbdoc")
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.value("fixed_channels", cutlass::conv::IteratorAlgorithm::kFixedChannels, R"pbdoc(Analytic algorithm optimized for fixed channel count (C == AccessSize))pbdoc")
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.value("few_channels", cutlass::conv::IteratorAlgorithm::kFewChannels, R"pbdoc(Analytic algorithm optimized for few channels (C divisible by AccessSize))pbdoc");
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/// Distinguishes among partial specializations that accelerate certain problems where convolution
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/// stride is unit.
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py::enum_<cutlass::conv::StrideSupport>(m, "StrideSupport",
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R"pbdoc(Distinguishes among partial specializations that accelerate certain problems where convolution
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stride is unit.)pbdoc")
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.value("strided", cutlass::conv::StrideSupport::kStrided, R"pbdoc(arbitrary convolution stride)pbdoc")
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.value("unity", cutlass::conv::StrideSupport::kUnity, R"pbdoc(unit convolution stride)pbdoc");
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/// Identifies split-K mode
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py::enum_<cutlass::conv::SplitKMode>(m, "SplitKMode")
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.value("None", cutlass::conv::SplitKMode::kNone)
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.value("Serial", cutlass::conv::SplitKMode::kSerial)
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.value("Parallel", cutlass::conv::SplitKMode::kParallel);
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// Conv problem sizes
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bind_conv_problem_size(m);
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//
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// host helper functions
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//
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py::module_ host_submodule = m.def_submodule("host");
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bind_conv_host_helper(host_submodule);
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}
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