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[mlir][StandardOps] Fix typos in the td file. 

- Fix arguments name for subview and subtensor.
- Fix a typo in a comment of subtensor's method.

Reviewed By: nicolasvasilache

Differential Revision: https://reviews.llvm.org/D95211
This commit is contained in:
Hanhan Wang 2021-01-22 09:02:44 -08:00
parent 14056dfb4d
commit 1b535df1cc
1 changed files with 5 additions and 5 deletions
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10
mlir/include/mlir/Dialect/StandardOps/IR/Ops.td
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@ -2795,7 +2795,7 @@ def SubViewOp : BaseOpWithOffsetSizesAndStrides<
The SubView operation supports the following arguments: The SubView operation supports the following arguments:
* semref: the "base" memref on which to create a "view" memref. * source: the "base" memref on which to create a "view" memref.
* offsets: memref-rank number of offsets into the "base" memref at which to * offsets: memref-rank number of offsets into the "base" memref at which to
create the "view" memref. create the "view" memref.
* sizes: memref-rank number of sizes which specify the sizes of the result * sizes: memref-rank number of sizes which specify the sizes of the result
@ -2995,7 +2995,7 @@ def SubTensorOp : BaseOpWithOffsetSizesAndStrides<
The subtensor operation supports the following arguments: The subtensor operation supports the following arguments:
* tensor: the "base" tensor from which to extract a subtensor. * source: the "base" tensor from which to extract a subtensor.
* offsets: tensor-rank number of offsets into the "base" tensor from which * offsets: tensor-rank number of offsets into the "base" tensor from which
to extract the subtensor. to extract the subtensor.
* sizes: tensor-rank number of sizes which specify the sizes of the result * sizes: tensor-rank number of sizes which specify the sizes of the result
@ -3072,9 +3072,9 @@ def SubTensorOp : BaseOpWithOffsetSizesAndStrides<
return getResult().getType().cast<RankedTensorType>(); return getResult().getType().cast<RankedTensorType>();
} }
/// A subview result type can be fully inferred from the source type and the /// A subtensor result type can be fully inferred from the source type and
/// static representation of offsets, sizes and strides. Special sentinels /// the static representation of offsets, sizes and strides. Special
/// encode the dynamic case. /// sentinels encode the dynamic case.
static Type inferResultType(RankedTensorType sourceRankedTensorType, static Type inferResultType(RankedTensorType sourceRankedTensorType,
ArrayRef<int64_t> staticOffsets, ArrayRef<int64_t> staticOffsets,
ArrayRef<int64_t> staticSizes, ArrayRef<int64_t> staticSizes,