Fix typos repicated replicated (PaddlePaddle#69273)

co63oc · web-flow · commit 283fd37d288c · 2025-02-24T10:45:29.000+08:00
diff --git a/paddle/phi/infermeta/spmd_rules/utils.cc b/paddle/phi/infermeta/spmd_rules/utils.cc
@@ -48,7 +48,7 @@ std::string GetBroadcastAxes(const int64_t& tensor_ndim,
   return alphabet.substr(broadcast_ndim - tensor_ndim, tensor_ndim);
 }
 
-// Rule1: A repicated dimension could be merged by any sharded dimension.
+// Rule1: A replicated dimension could be merged by any sharded dimension.
 // Rule2: A tensor axis could at most be sharded by one mesh dimension.
 // (TODO trigger heuristics cost model and reshard to handle axis sharded by
 // multiple dimension case.)
diff --git a/paddle/phi/kernels/funcs/blas/blaslt_impl.cu.h b/paddle/phi/kernels/funcs/blas/blaslt_impl.cu.h
@@ -1113,7 +1113,7 @@ struct MatmulWithCublasLt : public CublasLtBase<T, OutT> {
   }
 };
 
-// As for just Linear fused ephilogue below: out = matmul(x, y) + bias.
+// As for just Linear fused epilogue below: out = matmul(x, y) + bias.
 template <typename T>
 struct LinearWithCublasLt : public CublasLtBase<T> {
   static void Run(const phi::GPUContext& ctx,

Original file line number	Diff line number	Diff line change
`@@ -48,7 +48,7 @@ std::string GetBroadcastAxes(const int64_t& tensor_ndim,`
`48`	`48`	`return alphabet.substr(broadcast_ndim - tensor_ndim, tensor_ndim);`
`49`	`49`	`}`
`50`	`50`
`51`		`-// Rule1: A repicated dimension could be merged by any sharded dimension.`
	`51`	`+// Rule1: A replicated dimension could be merged by any sharded dimension.`
`52`	`52`	`// Rule2: A tensor axis could at most be sharded by one mesh dimension.`
`53`	`53`	`// (TODO trigger heuristics cost model and reshard to handle axis sharded by`
`54`	`54`	`// multiple dimension case.)`
Original file line number	Diff line number	Diff line change
`@@ -1113,7 +1113,7 @@ struct MatmulWithCublasLt : public CublasLtBase<T, OutT> {`
`1113`	`1113`	`}`
`1114`	`1114`	`};`
`1115`	`1115`
`1116`		`-// As for just Linear fused ephilogue below: out = matmul(x, y) + bias.`
	`1116`	`+// As for just Linear fused epilogue below: out = matmul(x, y) + bias.`
`1117`	`1117`	`template <typename T>`
`1118`	`1118`	`struct LinearWithCublasLt : public CublasLtBase<T> {`
`1119`	`1119`	`static void Run(const phi::GPUContext& ctx,`