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c4181e51d1
We have `arg.none() = nb::none()` in a lot of places but this is no
longer necessary (as of
~[2022](62a23bb87b)).
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/Nanobind.h"
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#include "mlir/Bindings/Python/NanobindAdaptors.h"
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namespace nb = nanobind;
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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::nanobind_adaptors;
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static void populateDialectNVGPUSubmodule(const nb::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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[](const nb::object &cls, MlirType tensorMemrefType, int swizzle,
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int l2promo, 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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nb::arg("cls"), nb::arg("tensor_type"), nb::arg("swizzle"),
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nb::arg("l2promo"), nb::arg("oob_fill"), nb::arg("interleave"),
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nb::arg("ctx") = nb::none());
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}
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NB_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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