Fix recevied received (#61128)

co63oc · web-flow · commit 581745fb6b95 · 2024-01-25T19:37:00.000+08:00
* Fix

* Fix
diff --git a/paddle/fluid/operators/math/sampler.h b/paddle/fluid/operators/math/sampler.h
@@ -37,7 +37,7 @@ class Sampler {
         range,
         0,
         platform::errors::InvalidArgument(
-            "Range should be greater than 0, but recevied %d.", range));
+            "Range should be greater than 0, but received %d.", range));
     if (seed == 0) {
       std::random_device r;
       seed_ = r();
diff --git a/paddle/fluid/operators/optimizers/sgd_op.h b/paddle/fluid/operators/optimizers/sgd_op.h
@@ -307,7 +307,7 @@ class SGDOpKernel<phi::CPUContext, T> : public framework::OpKernel<T> {
           id_index,
           static_cast<int64_t>(0),
           platform::errors::InvalidArgument(
-              "The id in SgdOp should be >= 0. But recevied id_index is [%s]",
+              "The id in SgdOp should be >= 0. But received id_index is [%s]",
               id_index));
       for (int64_t j = 0; j < grad_row_width; j++) {
         out_data[id_index * grad_row_width + j] -=
diff --git a/paddle/fluid/operators/partial_concat_op.cc b/paddle/fluid/operators/partial_concat_op.cc
@@ -47,7 +47,7 @@ class PartialConcatOp : public framework::OperatorWithKernel {
                       0,
                       platform::errors::InvalidArgument(
                           "ShapeError: Input tensors count should > 0. But "
-                          "recevied inputs' length is 0."));
+                          "received inputs' length is 0."));
     if (inputs_num == 1) {
       VLOG(3) << "Warning: concat op have only one input, may waste memory";
     }
diff --git a/paddle/fluid/operators/partial_sum_op.cc b/paddle/fluid/operators/partial_sum_op.cc
@@ -40,7 +40,7 @@ class PartialSumOp : public framework::OperatorWithKernel {
                       0,
                       platform::errors::InvalidArgument(
                           "ShapeError: Input tensors count should > 0. But "
-                          "recevied inputs' length is 0."));
+                          "received inputs' length is 0."));
     if (inputs_num == 1) {
       VLOG(3) << "Warning: partial_sum op have only one input, may be useless";
     }
diff --git a/paddle/phi/infermeta/binary.cc b/paddle/phi/infermeta/binary.cc
@@ -2572,30 +2572,30 @@ void PReluInferMeta(const MetaTensor& x,
                       1,
                       phi::errors::InvalidArgument(
                           "For mode 'all', size of weight Alpha must be one. "
-                          "But recevied alpha's size: %d.",
+                          "But received alpha's size: %d.",
                           product(alpha.dims())));
   } else if (mode == "channel") {
     auto x_rank = x_dim.size();
     PADDLE_ENFORCE_GE(x_rank,
                       2,
                       phi::errors::InvalidArgument(
                           "For mode 'channel', rank of input X must be "
-                          "equal or larger than 2. But recevied X's "
+                          "equal or larger than 2. But received X's "
                           "rank: %d",
                           x_rank));
     PADDLE_ENFORCE_EQ(data_format == "NCHW" || data_format == "NHWC",
                       true,
                       phi::errors::InvalidArgument(
                           "For mode 'channel', data_format must be one of "
-                          "NCHW and NHWC. But recevied data_format: %s",
+                          "NCHW and NHWC. But received data_format: %s",
                           data_format));
     if (data_format == "NCHW" || config.is_run_mkldnn_kernel) {
       PADDLE_ENFORCE_EQ(product(alpha.dims()) == x_dim[1],
                         true,
                         phi::errors::InvalidArgument(
                             "For mode 'channel', size of weight Alpha must be "
                             "equal to the number of channels of input(x). But "
-                            "recevied alpha's size: %d, x_dim[1]: %d",
+                            "received alpha's size: %d, x_dim[1]: %d",
                             product(alpha.dims()),
                             x_dim[1]));
     } else {
@@ -2604,7 +2604,7 @@ void PReluInferMeta(const MetaTensor& x,
                         phi::errors::InvalidArgument(
                             "For mode 'channel', size of weight Alpha must be "
                             "equal to the number of channels of input(x). But "
-                            "recevied alpha's size: %d, x_dim[%d]: %d",
+                            "received alpha's size: %d, x_dim[%d]: %d",
                             product(alpha.dims()),
                             x_rank - 1,
                             x_dim[x_rank - 1]));
@@ -2617,15 +2617,15 @@ void PReluInferMeta(const MetaTensor& x,
                       1,
                       phi::errors::InvalidArgument(
                           "For mode 'element', rank of input X must be "
-                          "equal or larger than 1. But recevied X's "
+                          "equal or larger than 1. But received X's "
                           "rank: %d",
                           x_rank));
     PADDLE_ENFORCE_EQ(
         alpha_rank,
         x_rank,
         phi::errors::InvalidArgument(
             "For mode 'element', rank of weight Alpha must be ",
-            "equal to the rank of input(x). But recevied alpha's rank: %d, "
+            "equal to the rank of input(x). But received alpha's rank: %d, "
             "x's rank: %d.",
             alpha_rank,
             x_rank));
@@ -2640,14 +2640,14 @@ void PReluInferMeta(const MetaTensor& x,
         x_product,
         phi::errors::InvalidArgument(
             "For mode 'element', the size of weight Alpha must be "
-            "equal to the size of input(x). But recevied alpha's size: %d, "
+            "equal to the size of input(x). But received alpha's size: %d, "
             "x's size: %d.",
             alpha_product,
             x_product));
   } else {
     PADDLE_THROW(phi::errors::InvalidArgument(
         "Attr(mode) of prelu must be one of 'all', 'channel', or 'element'. "
-        "But recevied "
+        "But received "
         "mode: '%s'.",
         mode));
   }
diff --git a/paddle/phi/infermeta/unary.cc b/paddle/phi/infermeta/unary.cc
@@ -2291,7 +2291,7 @@ void MaxOutInferMeta(const MetaTensor& x,
       axis == 1 || axis == -1 || axis == 3,
       true,
       phi::errors::InvalidArgument(
-          "axis only supported 1, -1 or 3, but recevied axis is: %d.", axis));
+          "axis only supported 1, -1 or 3, but received axis is: %d.", axis));
   PADDLE_ENFORCE_EQ(in_x_dims.size(),
                     4,
                     phi::errors::InvalidArgument(
@@ -2985,7 +2985,7 @@ void PixelUnshuffleInferMeta(const MetaTensor& x,
                     true,
                     phi::errors::InvalidArgument(
                         "data_format must be one of "
-                        "NCHW and NHWC. But recevied data_format: %s",
+                        "NCHW and NHWC. But received data_format: %s",
                         data_format));
 
   const bool channel_last = (data_format == "NHWC");
@@ -5012,13 +5012,13 @@ void UniformRandomInplaceInferMeta(const MetaTensor& x,
                     0,
                     errors::InvalidArgument(
                         "The uniform_random's diag_num must greater than or "
-                        "equal 0. But recevied diag_num (%d) < 0.",
+                        "equal 0. But received diag_num (%d) < 0.",
                         diag_num));
   PADDLE_ENFORCE_GE(diag_step,
                     0,
                     errors::InvalidArgument(
                         "The uniform_random's diag_step must greater than or "
-                        "equal 0. But recevied diag_step (%d) < 0.",
+                        "equal 0. But received diag_step (%d) < 0.",
                         diag_step));
   PADDLE_ENFORCE_NE(out,
                     nullptr,
@@ -5375,7 +5375,7 @@ void ChannelShuffleInferMeta(const MetaTensor& x,
                     true,
                     phi::errors::InvalidArgument(
                         "data_format must be one of "
-                        "NCHW and NHWC. But recevied data_format: %s",
+                        "NCHW and NHWC. But received data_format: %s",
                         data_format));
 
   const bool channel_last = (data_format == "NHWC");
diff --git a/paddle/phi/kernels/cpu/sgd_kernel.cc b/paddle/phi/kernels/cpu/sgd_kernel.cc
@@ -177,7 +177,7 @@ void SGDSparseParamSparseGradKernel(
         id_index,
         static_cast<int64_t>(0),
         phi::errors::InvalidArgument(
-            "The id in SgdOp should be >= 0. But recevied id_index is [%s]",
+            "The id in SgdOp should be >= 0. But received id_index is [%s]",
             id_index));
     for (int64_t j = 0; j < grad_row_width; j++) {
       out_data[id_index * grad_row_width + j] -=
diff --git a/python/paddle/jit/dy2static/convert_call_func.py b/python/paddle/jit/dy2static/convert_call_func.py
@@ -69,7 +69,7 @@ def attach(self, func):
             setattr(func, CONVERSION_OPTIONS, self)
         else:
             translator_logger.warn(
-                "Only support @not_to_static to type(function) or type(method), but recevied {}".format(
+                "Only support @not_to_static to type(function) or type(method), but received {}".format(
                     type(func)
                 )
             )

Original file line number	Diff line number	Diff line change
`@@ -47,7 +47,7 @@ class PartialConcatOp : public framework::OperatorWithKernel {`
`47`	`47`	`0,`
`48`	`48`	`platform::errors::InvalidArgument(`
`49`	`49`	`"ShapeError: Input tensors count should > 0. But "`
`50`		`- "recevied inputs' length is 0."));`
	`50`	`+ "received inputs' length is 0."));`
`51`	`51`	`if (inputs_num == 1) {`
`52`	`52`	`VLOG(3) << "Warning: concat op have only one input, may waste memory";`
`53`	`53`	`}`
Original file line number	Diff line number	Diff line change
`@@ -40,7 +40,7 @@ class PartialSumOp : public framework::OperatorWithKernel {`
`40`	`40`	`0,`
`41`	`41`	`platform::errors::InvalidArgument(`
`42`	`42`	`"ShapeError: Input tensors count should > 0. But "`
`43`		`- "recevied inputs' length is 0."));`
	`43`	`+ "received inputs' length is 0."));`
`44`	`44`	`if (inputs_num == 1) {`
`45`	`45`	`VLOG(3) << "Warning: partial_sum op have only one input, may be useless";`
`46`	`46`	`}`
Original file line number	Diff line number	Diff line change
`@@ -69,7 +69,7 @@ def attach(self, func):`
`69`	`69`	`setattr(func, CONVERSION_OPTIONS, self)`
`70`	`70`	`else:`
`71`	`71`	`translator_logger.warn(`
`72`		`- "Only support @not_to_static to type(function) or type(method), but recevied {}".format(`
	`72`	`+ "Only support @not_to_static to type(function) or type(method), but received {}".format(`
`73`	`73`	`type(func)`
`74`	`74`	`)`
`75`	`75`	`)`