42 lines
1.5 KiB
C++
42 lines
1.5 KiB
C++
//===--- DialectNVGPU.cpp - Pybind module for NVGPU dialect API support ---===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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#include "mlir-c/Dialect/NVGPU.h"
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#include "mlir-c/IR.h"
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#include "mlir/Bindings/Python/PybindAdaptors.h"
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#include <pybind11/pybind11.h>
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namespace py = pybind11;
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using namespace llvm;
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using namespace mlir;
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using namespace mlir::python;
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using namespace mlir::python::adaptors;
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static void populateDialectNVGPUSubmodule(const pybind11::module &m) {
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auto nvgpuTensorMapDescriptorType = mlir_type_subclass(
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m, "TensorMapDescriptorType", mlirTypeIsANVGPUTensorMapDescriptorType);
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nvgpuTensorMapDescriptorType.def_classmethod(
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"get",
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[](py::object cls, MlirType tensorMemrefType, int swizzle, int l2promo,
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int oobFill, int interleave, MlirContext ctx) {
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return cls(mlirNVGPUTensorMapDescriptorTypeGet(
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ctx, tensorMemrefType, swizzle, l2promo, oobFill, interleave));
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},
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"Gets an instance of TensorMapDescriptorType in the same context",
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py::arg("cls"), py::arg("tensor_type"), py::arg("swizzle"),
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py::arg("l2promo"), py::arg("oob_fill"), py::arg("interleave"),
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py::arg("ctx") = py::none());
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}
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PYBIND11_MODULE(_mlirDialectsNVGPU, m) {
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m.doc() = "MLIR NVGPU dialect.";
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populateDialectNVGPUSubmodule(m);
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}
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