ANIKET SHIVAM
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tools/library/scripts/pycutlass/src/cpp/cutlass.cpp
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181
tools/library/scripts/pycutlass/src/cpp/cutlass.cpp
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/***************************************************************************************************
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* Copyright (c) 2017 - 2022 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 binding cutlass C++ APIs to python
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*/
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#include <pybind11/pybind11.h>
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#include <pybind11/stl_bind.h>
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#include "builtin_types.h"
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#include "device_launch_parameters.h"
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#include "stddef.h"
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#include "cutlass/cutlass.h"
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#include "include/conv/convolution.h"
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#include "include/gemm/gemm.h"
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#include "include/types.h"
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#include "include/layout/layout.h"
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#include "include/tensor_coord.h"
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#include "include/arch.h"
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#include "include/tensor_ref_view.h"
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#include "include/swizzling.h"
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#include "test/conv/convolution.h"
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#include "test/gemm/gemm.h"
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// Data Types
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#include "library.h"
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// compiler
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#include "compiler.h"
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namespace py = pybind11;
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PYBIND11_MODULE(cutlass, m) {
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// module doc
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m.doc() = "cutlass C++ binding";
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//
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// Bind data type
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//
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bind_cutlass_types(m);
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//
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// Bind layout
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//
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bind_layout(m);
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//
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// Bind tensor coord
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//
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bind_tensor_coord(m);
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//
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// Bind tensor ref
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//
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bind_tensor_refs_and_views(m);
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//
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// Bind opcode
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//
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bind_opcode(m);
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//
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// Bind convolution
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//
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py::module_ conv_submodule = m.def_submodule("conv");
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bind_convolution(conv_submodule);
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//
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// Bind gemm
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//
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py::module_ gemm_submodule = m.def_submodule("gemm");
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bind_gemm(gemm_submodule);
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//
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// Bind swizzling
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//
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bind_threadblock_swizzle(m);
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//
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// Bind test units
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//
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py::module_ test = m.def_submodule("test");
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py::module_ test_conv = test.def_submodule("conv");
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bind_convolution_test(test_conv);
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py::module_ test_gemm = test.def_submodule("gemm");
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bind_gemm_test(test_gemm);
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// data types
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py::enum_<cutlass::DataType>(m, "dtype")
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.value("b1", cutlass::DataType::kB1)
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.value("u2", cutlass::DataType::kU2)
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.value("u4", cutlass::DataType::kU4)
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.value("u8", cutlass::DataType::kU8)
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.value("u16", cutlass::DataType::kU16)
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.value("u32", cutlass::DataType::kU32)
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.value("u64", cutlass::DataType::kU64)
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.value("s2", cutlass::DataType::kS2)
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.value("s4", cutlass::DataType::kS4)
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.value("s16", cutlass::DataType::kS16)
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.value("s64", cutlass::DataType::kS64)
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.value("cf16", cutlass::DataType::kCF16)
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.value("cbf16", cutlass::DataType::kCBF16)
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.value("cf32", cutlass::DataType::kCF32)
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.value("ctf32", cutlass::DataType::kCTF32)
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.value("cf64", cutlass::DataType::kCF64)
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.value("cs2", cutlass::DataType::kCS2)
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.value("cs4", cutlass::DataType::kCS4)
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.value("cs8", cutlass::DataType::kCS8)
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.value("cs16", cutlass::DataType::kCS16)
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.value("cs32", cutlass::DataType::kCS32)
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.value("cs64", cutlass::DataType::kCS64)
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.value("cu2", cutlass::DataType::kCU2)
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.value("cu4", cutlass::DataType::kCU4)
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.value("cu8", cutlass::DataType::kCU8)
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.value("cu16", cutlass::DataType::kCU16)
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.value("cu32", cutlass::DataType::kCU32)
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.value("cu64", cutlass::DataType::kCU64)
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.value("invalid", cutlass::DataType::kInvalid);
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// layout types
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py::enum_<cutlass::LayoutType>(m, "layout")
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.value("ColumnMajorInterleaved2", cutlass::LayoutType::kColumnMajorInterleaved2)
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.value("RowMajorInterleaved2", cutlass::LayoutType::kRowMajorInterleaved2)
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.value("ColumnMajorInterleaved64", cutlass::LayoutType::kColumnMajorInterleaved64)
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.value("RowMajorInterleaved64", cutlass::LayoutType::kRowMajorInterleaved64)
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.value("TensorNDHWC", cutlass::LayoutType::kTensorNDHWC)
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.value("TensorNCHW", cutlass::LayoutType::kTensorNCHW)
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.value("TensorNGHWC", cutlass::LayoutType::kTensorNGHWC)
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.value("TensorNC64HW64", cutlass::LayoutType::kTensorNC64HW64)
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.value("TensorC64RSK64", cutlass::LayoutType::kTensorC64RSK64);
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// transform types
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py::enum_<cutlass::ComplexTransform>(m, "complex_transform")
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.value("none", cutlass::ComplexTransform::kNone)
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.value("conj", cutlass::ComplexTransform::kConjugate);
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//
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// Compiler
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//
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py::class_<cutlass::CompileCache>(m, "CompileCache")
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.def(py::init<>())
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.def("at", &cutlass::CompileCache::at)
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.def("insert", &cutlass::CompileCache::insert)
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.def("size", &cutlass::CompileCache::size)
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.def("clear", &cutlass::CompileCache::clear);
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}
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Reference in New Issue
Block a user