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fix typo in error message (#22312)

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revert-22710-feature/integrated_ps_api
zhangchunle 5 years ago committed by Tao Luo
parent b339dff231
commit 805328e13b
12 changed files with 31 additions and 30 deletions
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4
paddle/fluid/operators/array_to_lod_tensor_op.cc
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@ -189,9 +189,9 @@ class ArrayToLoDTensorInferShape : public framework::InferShapeBase {
public:
void operator()(framework::InferShapeContext *context) const override {
PADDLE_ENFORCE(context->HasInput("X"),
"ArrayToLoDTensorOp must has input X.");
"ArrayToLoDTensorOp must have input X.");
PADDLE_ENFORCE(context->HasInput("RankTable"),
"ArrayToLoDTensorOp must has input RankTable.");
"ArrayToLoDTensorOp must have input RankTable.");
// For compile-time, the first dim of input X and output Out should be -1.
// For runtime, the first dim of output Out should be the sum of all
// elements's first dim in input X. The output's dims will be re-computed in

8
paddle/fluid/operators/beam_search_decode_op.cc
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@ -191,13 +191,13 @@ class BeamSearchDecodeInferShape : public framework::InferShapeBase {
public:
void operator()(framework::InferShapeContext* context) const override {
PADDLE_ENFORCE(context->HasInput("Ids"),
"BeamSearchDecodeOp must has input Ids");
"BeamSearchDecodeOp must have input Ids");
PADDLE_ENFORCE(context->HasInput("Scores"),
"BeamSearchDecodeOp must has input Scores");
"BeamSearchDecodeOp must have input Scores");
PADDLE_ENFORCE(context->HasOutput("SentenceIds"),
"BeamSearchDecodeOp must has output SentenceIds");
"BeamSearchDecodeOp must have output SentenceIds");
PADDLE_ENFORCE(context->HasOutput("SentenceScores"),
"BeamSearchDecodeOp must has output SentenceScores");
"BeamSearchDecodeOp must have output SentenceScores");
}
};

4
paddle/fluid/operators/controlflow/compare_op.cc
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@ -80,9 +80,9 @@ class CompareOp : public framework::OperatorWithKernel {
protected:
void InferShape(framework::InferShapeContext* context) const override {
OpComment comment;
PADDLE_ENFORCE(context->HasInput("X"), "%s operator must has input X",
PADDLE_ENFORCE(context->HasInput("X"), "%s operator must have input X",
comment.type);
PADDLE_ENFORCE(context->HasInput("Y"), "%s operator must has input Y",
PADDLE_ENFORCE(context->HasInput("Y"), "%s operator must have input Y",
comment.type);
auto dim_x = context->GetInputDim("X");
auto dim_y = context->GetInputDim("Y");

8
paddle/fluid/operators/distributed_ops/merge_ids_op.cc
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@ -83,12 +83,12 @@ class MergeIdsOp : public framework::OperatorWithKernel {
void InferShape(framework::InferShapeContext *ctx) const override {
PADDLE_ENFORCE(ctx->HasInputs("Ids"),
"MergeIdsOp must has multi input Ids.");
"MergeIdsOp must have multi input Ids.");
PADDLE_ENFORCE(ctx->HasInputs("Rows"),
"MergeIdsOp must has multi input Rows.");
PADDLE_ENFORCE(ctx->HasInputs("X"), "MergeIdsOp must has multi input X.");
"MergeIdsOp must have multi input Rows.");
PADDLE_ENFORCE(ctx->HasInputs("X"), "MergeIdsOp must have multi input X.");
PADDLE_ENFORCE(ctx->HasOutputs("Out"),
"MergeIdsOp must has multi output Out.");
"MergeIdsOp must have multi output Out.");
auto ids_var_type = ctx->GetInputsVarType("Ids").front();
auto ids_dims = ctx->GetInputsDim("Ids");

4
paddle/fluid/operators/distributed_ops/split_ids_op.cc
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@ -52,8 +52,8 @@ class SplitIdsOp : public framework::OperatorWithKernel {
using framework::OperatorWithKernel::OperatorWithKernel;
void InferShape(framework::InferShapeContext *ctx) const override {
PADDLE_ENFORCE(ctx->HasInputs("Ids"), "SplitIdsOp must has input Ids.");
PADDLE_ENFORCE(ctx->HasOutputs("Out"), "SplitIdsOp must has output Out.");
PADDLE_ENFORCE(ctx->HasInputs("Ids"), "SplitIdsOp must have input Ids.");
PADDLE_ENFORCE(ctx->HasOutputs("Out"), "SplitIdsOp must have output Out.");
auto ids_var_type = ctx->GetInputsVarType("Ids").front();
auto ids_dims = ctx->GetInputsDim("Ids");

4
paddle/fluid/operators/get_tensor_from_selected_rows_op.cc
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@ -24,9 +24,9 @@ class GetTensorFromSelectedRowsOp : public framework::OperatorWithKernel {
void InferShape(framework::InferShapeContext *ctx) const override {
PADDLE_ENFORCE(ctx->HasInput("X"),
"GetTensorFromSelectedRowsOp must has input X.");
"GetTensorFromSelectedRowsOp must have input X.");
PADDLE_ENFORCE(ctx->HasOutput("Out"),
"GetTensorFromSelectedRowsOp must has output Out.");
"GetTensorFromSelectedRowsOp must have output Out.");
PADDLE_ENFORCE(
ctx->GetInputsVarType("X").front() ==
framework::proto::VarType::SELECTED_ROWS,

2
paddle/fluid/operators/lod_rank_table_op.cc
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@ -58,7 +58,7 @@ output operators.
class LoDRankTableInferShape : public framework::InferShapeBase {
public:
void operator()(framework::InferShapeContext *context) const override {
PADDLE_ENFORCE(context->HasInput("X"), "LoDRankTable must has input X");
PADDLE_ENFORCE(context->HasInput("X"), "LoDRankTable must have input X");
}
};

10
paddle/fluid/operators/merge_lod_tensor_op.cc
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@ -179,15 +179,15 @@ class MergeLoDTensorInferShape : public framework::InferShapeBase {
public:
void operator()(framework::InferShapeContext *context) const override {
PADDLE_ENFORCE(context->HasInput("X"),
"MergeLoDTensorOp must has input X.");
"MergeLoDTensorOp must have input X.");
PADDLE_ENFORCE(context->HasInput("Mask"),
"MergeLoDTensorOp must has input Mask.");
"MergeLoDTensorOp must have input Mask.");
PADDLE_ENFORCE(context->HasInput("InTrue"),
"MergeLoDTensorOp must has input InTrue.");
"MergeLoDTensorOp must have input InTrue.");
PADDLE_ENFORCE(context->HasInput("InFalse"),
"MergeLoDTensorOp must has input InFalse.");
"MergeLoDTensorOp must have input InFalse.");
PADDLE_ENFORCE(context->HasOutput("Out"),
"MergeLoDTensorOp must has output Out");
"MergeLoDTensorOp must have output Out");
auto mask_dim = context->GetInputDim("Mask");
PADDLE_ENFORCE_EQ(mask_dim.size(), 2,

8
paddle/fluid/operators/split_lod_tensor_op.cc
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@ -147,13 +147,13 @@ class SplitLoDTensorInferShape : public framework::InferShapeBase {
public:
void operator()(framework::InferShapeContext *context) const override {
PADDLE_ENFORCE(context->HasInput("X"),
"SplitLoDTensorOp must has input X.");
"SplitLoDTensorOp must have input X.");
PADDLE_ENFORCE(context->HasInput("Mask"),
"SplitLoDTensorOp must has input Mask.");
"SplitLoDTensorOp must have input Mask.");
PADDLE_ENFORCE(context->HasOutput("OutTrue"),
"SplitLoDTensorOp must has output OutTrue.");
"SplitLoDTensorOp must have output OutTrue.");
PADDLE_ENFORCE(context->HasOutput("OutFalse"),
"SplitLoDTensorOp must has output OutFalse.");
"SplitLoDTensorOp must have output OutFalse.");
auto mask_dim = context->GetInputDim("Mask");
PADDLE_ENFORCE_EQ(mask_dim.size(), 2,

5
paddle/fluid/operators/split_selected_rows_op.cc
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@ -54,9 +54,10 @@ class SplitSelectedRowsOp : public framework::OperatorWithKernel {
using framework::OperatorWithKernel::OperatorWithKernel;
void InferShape(framework::InferShapeContext *ctx) const override {
PADDLE_ENFORCE(ctx->HasInput("X"), "SplitSelectedRowsOp must has input X.");
PADDLE_ENFORCE(ctx->HasInput("X"),
"SplitSelectedRowsOp must have input X.");
PADDLE_ENFORCE(ctx->HasOutputs("Out"),
"SplitSelectedRowsOp must has output Out.");
"SplitSelectedRowsOp must have output Out.");
}
};

2
python/paddle/fluid/backward.py
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@ -1057,7 +1057,7 @@ def append_backward(loss,
be invoked once each time a
new gradient operator is added
into the program. The callable
object must has two input
object must have two input
parameters: 'block' and 'context'.
The 'block' is the :ref:`api_guide_Block_en` which
the new gradient operator will

2
python/paddle/fluid/evaluator.py
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@ -224,7 +224,7 @@ class EditDistance(Evaluator):
Args:
input: the sequences predicted by network.
label: the target sequences which must has same sequence count
label: the target sequences which must have same sequence count
with input.
ignored_tokens(list of int): Tokens that should be removed before
calculating edit distance.

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