016e1eb9c8
This patch adds the `#gpu.kernel_metadata` and `#gpu.kernel_table`
attributes. The `#gpu.kernel_metadata` attribute allows storing metadata
related to a compiled kernel, for example, the number of scalar
registers used by the kernel. The attribute only has 2 required
parameters, the name and function type. It also has 2 optional
parameters, the arguments attributes and generic dictionary for storing
all other metadata.
The `#gpu.kernel_table` stores a table of `#gpu.kernel_metadata`,
mapping the name of the kernel to the metadata.
Finally, the function `ROCDL::getAMDHSAKernelsELFMetadata` was added to
collect ELF metadata from a binary, and to test the class methods in
both attributes.
Example:
```mlir
gpu.binary @binary [#gpu.object<#rocdl.target<chip = "gfx900">, kernels = #gpu.kernel_table<[
#gpu.kernel_metadata<"kernel0", (i32) -> (), metadata = {sgpr_count = 255}>,
#gpu.kernel_metadata<"kernel1", (i32, f32) -> (), arg_attrs = [{llvm.read_only}, {}]>
]> , bin = "BLOB">]
```
The motivation behind these attributes is to provide useful information
for things like tunning.
---------
Co-authored-by: Mehdi Amini <joker.eph@gmail.com>
112 lines
4.3 KiB
C++
112 lines
4.3 KiB
C++
//===- GPU.cpp - C Interface for GPU dialect ------------------------------===//
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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/GPU.h"
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#include "mlir/CAPI/Registration.h"
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#include "mlir/Dialect/GPU/IR/GPUDialect.h"
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#include "llvm/Support/Casting.h"
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using namespace mlir;
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MLIR_DEFINE_CAPI_DIALECT_REGISTRATION(GPU, gpu, gpu::GPUDialect)
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//===-------------------------------------------------------------------===//
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// AsyncTokenType
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//===-------------------------------------------------------------------===//
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bool mlirTypeIsAGPUAsyncTokenType(MlirType type) {
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return isa<gpu::AsyncTokenType>(unwrap(type));
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}
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MlirType mlirGPUAsyncTokenTypeGet(MlirContext ctx) {
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return wrap(gpu::AsyncTokenType::get(unwrap(ctx)));
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}
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//===---------------------------------------------------------------------===//
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// ObjectAttr
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//===---------------------------------------------------------------------===//
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bool mlirAttributeIsAGPUObjectAttr(MlirAttribute attr) {
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return llvm::isa<gpu::ObjectAttr>(unwrap(attr));
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}
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MlirAttribute mlirGPUObjectAttrGet(MlirContext mlirCtx, MlirAttribute target,
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uint32_t format, MlirStringRef objectStrRef,
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MlirAttribute mlirObjectProps) {
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MLIRContext *ctx = unwrap(mlirCtx);
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llvm::StringRef object = unwrap(objectStrRef);
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DictionaryAttr objectProps;
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if (mlirObjectProps.ptr != nullptr)
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objectProps = llvm::cast<DictionaryAttr>(unwrap(mlirObjectProps));
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return wrap(gpu::ObjectAttr::get(
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ctx, unwrap(target), static_cast<gpu::CompilationTarget>(format),
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StringAttr::get(ctx, object), objectProps, nullptr));
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}
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MlirAttribute mlirGPUObjectAttrGetWithKernels(MlirContext mlirCtx,
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MlirAttribute target,
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uint32_t format,
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MlirStringRef objectStrRef,
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MlirAttribute mlirObjectProps,
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MlirAttribute mlirKernelsAttr) {
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MLIRContext *ctx = unwrap(mlirCtx);
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llvm::StringRef object = unwrap(objectStrRef);
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DictionaryAttr objectProps;
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if (mlirObjectProps.ptr != nullptr)
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objectProps = llvm::cast<DictionaryAttr>(unwrap(mlirObjectProps));
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gpu::KernelTableAttr kernels;
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if (mlirKernelsAttr.ptr != nullptr)
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kernels = llvm::cast<gpu::KernelTableAttr>(unwrap(mlirKernelsAttr));
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return wrap(gpu::ObjectAttr::get(
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ctx, unwrap(target), static_cast<gpu::CompilationTarget>(format),
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StringAttr::get(ctx, object), objectProps, kernels));
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}
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MlirAttribute mlirGPUObjectAttrGetTarget(MlirAttribute mlirObjectAttr) {
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gpu::ObjectAttr objectAttr =
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llvm::cast<gpu::ObjectAttr>(unwrap(mlirObjectAttr));
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return wrap(objectAttr.getTarget());
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}
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uint32_t mlirGPUObjectAttrGetFormat(MlirAttribute mlirObjectAttr) {
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gpu::ObjectAttr objectAttr =
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llvm::cast<gpu::ObjectAttr>(unwrap(mlirObjectAttr));
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return static_cast<uint32_t>(objectAttr.getFormat());
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}
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MlirStringRef mlirGPUObjectAttrGetObject(MlirAttribute mlirObjectAttr) {
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gpu::ObjectAttr objectAttr =
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llvm::cast<gpu::ObjectAttr>(unwrap(mlirObjectAttr));
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llvm::StringRef object = objectAttr.getObject();
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return mlirStringRefCreate(object.data(), object.size());
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}
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bool mlirGPUObjectAttrHasProperties(MlirAttribute mlirObjectAttr) {
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gpu::ObjectAttr objectAttr =
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llvm::cast<gpu::ObjectAttr>(unwrap(mlirObjectAttr));
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return objectAttr.getProperties() != nullptr;
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}
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MlirAttribute mlirGPUObjectAttrGetProperties(MlirAttribute mlirObjectAttr) {
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gpu::ObjectAttr objectAttr =
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llvm::cast<gpu::ObjectAttr>(unwrap(mlirObjectAttr));
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return wrap(objectAttr.getProperties());
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}
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bool mlirGPUObjectAttrHasKernels(MlirAttribute mlirObjectAttr) {
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gpu::ObjectAttr objectAttr =
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llvm::cast<gpu::ObjectAttr>(unwrap(mlirObjectAttr));
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return objectAttr.getKernels() != nullptr;
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}
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MlirAttribute mlirGPUObjectAttrGetKernels(MlirAttribute mlirObjectAttr) {
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gpu::ObjectAttr objectAttr =
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llvm::cast<gpu::ObjectAttr>(unwrap(mlirObjectAttr));
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return wrap(objectAttr.getKernels());
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}
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