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>
73 lines
2.3 KiB
C
73 lines
2.3 KiB
C
//===-- mlir-c/Dialect/GPU.h - C API for GPU dialect -------------*- C -*-===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM
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// 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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#ifndef MLIR_C_DIALECT_GPU_H
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#define MLIR_C_DIALECT_GPU_H
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#include "mlir-c/IR.h"
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#include "mlir-c/Support.h"
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#ifdef __cplusplus
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extern "C" {
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#endif
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MLIR_DECLARE_CAPI_DIALECT_REGISTRATION(GPU, gpu);
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//===-------------------------------------------------------------------===//
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// AsyncTokenType
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//===-------------------------------------------------------------------===//
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MLIR_CAPI_EXPORTED bool mlirTypeIsAGPUAsyncTokenType(MlirType type);
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MLIR_CAPI_EXPORTED MlirType mlirGPUAsyncTokenTypeGet(MlirContext ctx);
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//===---------------------------------------------------------------------===//
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// ObjectAttr
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//===---------------------------------------------------------------------===//
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MLIR_CAPI_EXPORTED bool mlirAttributeIsAGPUObjectAttr(MlirAttribute attr);
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MLIR_CAPI_EXPORTED MlirAttribute
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mlirGPUObjectAttrGet(MlirContext mlirCtx, MlirAttribute target, uint32_t format,
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MlirStringRef objectStrRef, MlirAttribute mlirObjectProps);
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MLIR_CAPI_EXPORTED MlirAttribute mlirGPUObjectAttrGetWithKernels(
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MlirContext mlirCtx, MlirAttribute target, uint32_t format,
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MlirStringRef objectStrRef, MlirAttribute mlirObjectProps,
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MlirAttribute mlirKernelsAttr);
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MLIR_CAPI_EXPORTED MlirAttribute
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mlirGPUObjectAttrGetTarget(MlirAttribute mlirObjectAttr);
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MLIR_CAPI_EXPORTED uint32_t
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mlirGPUObjectAttrGetFormat(MlirAttribute mlirObjectAttr);
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MLIR_CAPI_EXPORTED MlirStringRef
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mlirGPUObjectAttrGetObject(MlirAttribute mlirObjectAttr);
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MLIR_CAPI_EXPORTED bool
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mlirGPUObjectAttrHasProperties(MlirAttribute mlirObjectAttr);
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MLIR_CAPI_EXPORTED MlirAttribute
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mlirGPUObjectAttrGetProperties(MlirAttribute mlirObjectAttr);
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MLIR_CAPI_EXPORTED bool
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mlirGPUObjectAttrHasKernels(MlirAttribute mlirObjectAttr);
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MLIR_CAPI_EXPORTED MlirAttribute
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mlirGPUObjectAttrGetKernels(MlirAttribute mlirObjectAttr);
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#ifdef __cplusplus
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}
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#endif
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#include "mlir/Dialect/GPU/Transforms/Passes.capi.h.inc"
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#endif // MLIR_C_DIALECT_GPU_H
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