[Mlir-commits] [mlir] 3071107 - [mlir][Python][Linalg] Fixing typos (NFC).
Tobias Gysi
llvmlistbot at llvm.org
Wed Apr 28 00:42:11 PDT 2021
Author: Tobias Gysi
Date: 2021-04-28T07:38:36Z
New Revision: 3071107cf00c8914aa0e9f3b5170df59b8563002
URL: https://github.com/llvm/llvm-project/commit/3071107cf00c8914aa0e9f3b5170df59b8563002
DIFF: https://github.com/llvm/llvm-project/commit/3071107cf00c8914aa0e9f3b5170df59b8563002.diff
LOG: [mlir][Python][Linalg] Fixing typos (NFC).
Added:
Modified:
mlir/lib/Bindings/Python/mlir/dialects/linalg/opdsl/ops/core_named_ops.py
Removed:
################################################################################
diff --git a/mlir/lib/Bindings/Python/mlir/dialects/linalg/opdsl/ops/core_named_ops.py b/mlir/lib/Bindings/Python/mlir/dialects/linalg/opdsl/ops/core_named_ops.py
index 229458855939a..b52a0e2d65e1c 100644
--- a/mlir/lib/Bindings/Python/mlir/dialects/linalg/opdsl/ops/core_named_ops.py
+++ b/mlir/lib/Bindings/Python/mlir/dialects/linalg/opdsl/ops/core_named_ops.py
@@ -10,7 +10,7 @@
def matmul(A=TensorDef(T1, S.M, S.K),
B=TensorDef(T2, S.K, S.N),
C=TensorDef(U, S.M, S.N, output=True)):
- """Performs a matrix multiplacation of two 2D inputs.
+ """Performs a matrix multiplication of two 2D inputs.
Numeric casting is performed on the operands to the inner multiply, promoting
them to the same data type as the accumulator/output.
@@ -23,7 +23,7 @@ def matmul(A=TensorDef(T1, S.M, S.K),
def batch_matmul(A=TensorDef(T1, Batch, S.M, S.K),
B=TensorDef(T2, Batch, S.K, S.N),
C=TensorDef(U, Batch, S.M, S.N, output=True)):
- """Performs a batched matrix multiplacation of two 3D inputs.
+ """Performs a batched matrix multiplication of two 3D inputs.
Numeric casting is performed on the operands to the inner multiply, promoting
them to the same data type as the accumulator/output.
@@ -49,7 +49,7 @@ def matvec(A=TensorDef(T1, S.M, S.N),
def vecmat(y=TensorDef(T1, S.M),
A=TensorDef(T2, S.M, S.N),
x=TensorDef(U, S.N, output=True)):
- """Performs a vector-matrix multiplacation.
+ """Performs a vector-matrix multiplication.
Numeric casting is performed on the operands to the inner multiply, promoting
them to the same data type as the accumulator/output.
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