PaddlePaddle · luotao1 · Aug 4, 2025 · Aug 3, 2025
diff --git a/paddle/phi/kernels/impl/reverse_kernel_impl.h b/paddle/phi/kernels/impl/reverse_kernel_impl.h
@@ -83,7 +83,7 @@ void ReverseKernel(const Context& dev_ctx,
  break;
  default:
  PADDLE_THROW(common::errors::OutOfRange(
- "The reserve operator does not support input tensors"
+ "The reserve operator does not support input tensors "
  "whose ranks are greater than 6."));
  }
 }

diff --git a/paddle/phi/kernels/impl/sequence_pool_kernel_impl.h b/paddle/phi/kernels/impl/sequence_pool_kernel_impl.h
@@ -44,8 +44,8 @@ void SequencePoolKernel(const Context& dev_ctx,
  dims[0],
  /*batch size = */ static_cast<int64_t>(lod[lod_level - 1].size() - 1),
  errors::InvalidArgument(
- "The first dimension of Input(X) must be large than batch size."
- "But received first dimension of Input(X) is %d, while batch"
+ "The first dimension of Input(X) must be large than batch size. "
+ "But received first dimension of Input(X) is %d, while batch "
  "size is %d.",
  dims[0],
  static_cast<int64_t>(lod[lod_level - 1].size() - 1)));

diff --git a/paddle/phi/kernels/impl/sparse_momentum_kernel_impl.h b/paddle/phi/kernels/impl/sparse_momentum_kernel_impl.h
@@ -286,7 +286,7 @@ void InnerCompute(const Context& dev_ctx,
  PADDLE_ENFORCE_GT(index->dims()[0],
  0,
  common::errors::InvalidArgument(
- "The index of sparse_momentum_op should not be empty"
+ "The index of sparse_momentum_op should not be empty "
  "when the index's rank is 1."));
  } else if (index->dims().size() == 2) {
  PADDLE_ENFORCE_EQ(index->dims()[1],

diff --git a/paddle/phi/kernels/selected_rows/cpu/lookup_table_grad_kernel.cc b/paddle/phi/kernels/selected_rows/cpu/lookup_table_grad_kernel.cc
@@ -81,7 +81,7 @@ void LookupTableGradKernel(const Context &dev_ctx,
  0,
  common::errors::InvalidArgument(
  "Variable value (input) of OP(fluid.layers.embedding) "
- "expected >= 0 and < %ld, but got %ld. Please check input"
+ "expected >= 0 and < %ld, but got %ld. Please check input "
  "value.",
  N,
  ids_data[i]));

diff --git a/paddle/phi/kernels/xpu/beam_search_decode_kernel.cc b/paddle/phi/kernels/xpu/beam_search_decode_kernel.cc
@@ -32,7 +32,7 @@ void BeamSearchDecodeXPUKernel(const Context& dev_ctx,
  step_num,
  0UL,
  common::errors::InvalidArgument(
- "beam search steps, which is the"
+ "beam search steps, which is the "
  "size of Input(Ids) TensorArray. beam search steps should "
  "be larger than 0, but received %d. ",
  step_num));
@@ -42,9 +42,9 @@ void BeamSearchDecodeXPUKernel(const Context& dev_ctx,
  source_num,
  0UL,
  common::errors::InvalidArgument(
- "source_num is the sequence number of the"
+ "source_num is the sequence number of the "
  "first decoding step, indicating by Input(Ids)[0].lod[0].size. "
- "The number of source_num should be larger than"
+ "The number of source_num should be larger than "
  "0, but received %d. ",
  source_num));
 

diff --git a/paddle/phi/kernels/xpu/distribute_fpn_proposals_kernel.cc b/paddle/phi/kernels/xpu/distribute_fpn_proposals_kernel.cc
@@ -75,7 +75,7 @@ void DistributeFpnProposalsKernel(
  PADDLE_ENFORCE_EQ(
  fpn_rois.lod().size(),
  1UL,
- errors::InvalidArgument("DistributeFpnProposalsOp needs LoD"
+ errors::InvalidArgument("DistributeFpnProposalsOp needs LoD "
  "with one level"));
  }
  using XPUType = typename XPUTypeTrait<T>::Type;

diff --git a/paddle/phi/kernels/xpu/instance_norm_grad_kernel.cc b/paddle/phi/kernels/xpu/instance_norm_grad_kernel.cc
@@ -80,7 +80,7 @@ void InstanceNormGradKernel(const Context& dev_ctx,
  common::errors::InvalidArgument(
  "The `shape` in InstanceNormOp is invalid: "
  "the size of scale's dimensions must be equal to 1. But "
- "received: the size of scale's dimensions"
+ "received: the size of scale's dimensions "
  "is [%d]",
  scale_ptr->dims().size()));
  PADDLE_ENFORCE_EQ(scale_ptr->dims()[0],

diff --git a/paddle/phi/kernels/xpu/pool_grad_kernel.cc b/paddle/phi/kernels/xpu/pool_grad_kernel.cc
@@ -48,7 +48,7 @@ void Pool2dGradKernel(const Context& dev_ctx,
  PADDLE_ENFORCE_EQ(
  data_format,
  "NCHW",
- common::errors::InvalidArgument("The Pool2d_grad XPU OP only support"
+ common::errors::InvalidArgument("The Pool2d_grad XPU OP only support "
  "data_format is 'NCHW', but received %s",
  data_format));
 
@@ -213,7 +213,7 @@ void Pool3dGradKernel(const Context& dev_ctx,
  PADDLE_ENFORCE_EQ(
  data_format,
  "NCDHW",
- common::errors::InvalidArgument("The Pool3d_grad XPU OP only support"
+ common::errors::InvalidArgument("The Pool3d_grad XPU OP only support "
  "data_format is 'NCDHW', but received %s",
  data_format));
  if (!dx) {

diff --git a/test/cpp/eager/task_tests/forward_autograd_test.cc b/test/cpp/eager/task_tests/forward_autograd_test.cc
@@ -185,9 +185,9 @@ TEST(Forward, LinearNodes) {
  PADDLE_ENFORCE_EQ(node1_meta[0].GetEdge().GetGradNode(),
  grad_node0,
  common::errors::InvalidArgument(
- "node1_meta[0].GetEdge().GetGradNode()"
- "is not equal with grad_node0"
- "the value of grad_node0 is %d"
+ "node1_meta[0].GetEdge().GetGradNode() "
+ "is not equal with grad_node0, "
+ "the value of grad_node0 is %d "
  "and node1_meta[0].GetEdge().GetGradNode() is %d",
  grad_node0,
  node1_meta[0].GetEdge().GetGradNode()));

diff --git a/test/cpp/fluid/beam_search_decode_op_test.cc b/test/cpp/fluid/beam_search_decode_op_test.cc
@@ -39,9 +39,9 @@ void GenerateExample(const std::vector<size_t>& level_0,
  PADDLE_ENFORCE_EQ(level_0.back(),
  level_1.size() - 1,
  common::errors::InvalidArgument(
- "source level is used to describe candidate set"
- ", so it's element should less than level_1 length. "
- "And the value of source"
+ "source level is used to describe candidate set, "
+ "so it's element should less than level_1 length. "
+ "And the value of source "
  "level is %d. ",
  level_1.size() - 1));
  PADDLE_ENFORCE_EQ(level_1.back(),

diff --git a/test/cpp/inference/api/analyzer_capi_gpu_tester.cc b/test/cpp/inference/api/analyzer_capi_gpu_tester.cc
@@ -36,7 +36,7 @@ TEST(PD_AnalysisConfig, use_gpu) {
  PADDLE_ENFORCE_EQ(
  10,
  num_thread,
- common::errors::InvalidArgument("The num of thread should be"
+ common::errors::InvalidArgument("The num of thread should be "
  "equal to 10, but got %d.",
  num_thread));
  PD_SwitchSpecifyInputNames(config, true);

diff --git a/test/cpp/inference/api/tester_helper.h b/test/cpp/inference/api/tester_helper.h
@@ -214,7 +214,7 @@ std::shared_ptr<std::vector<PaddleTensor>> GetWarmupData(
  all_test_data_size,
  common::errors::InvalidArgument(
  "The requested quantization warmup data size must be "
- "lower or equal to the test data size. But received"
+ "lower or equal to the test data size. But received "
  "warmup size is %d and test data size is %d. Please "
  "use --warmup_batch_size parameter to set smaller "
  "warmup batch size.",

diff --git a/test/cpp/inference/api/xpu_runtime_config_resnet50_test.cc b/test/cpp/inference/api/xpu_runtime_config_resnet50_test.cc
@@ -211,7 +211,7 @@ void RunPredictorWithRuntimeConfig(
  PADDLE_ENFORCE_EQ(predictor->GetExecStream(),
  runtime_config.stream,
  common::errors::InvalidArgument(
- "predictor->GetExecStream() is not equal with"
+ "predictor->GetExecStream() is not equal with "
  "runtime_config.stream"));
 }
 

diff --git a/test/cpp/inference/test_helper.h b/test/cpp/inference/test_helper.h
@@ -59,7 +59,7 @@ void SetupTensor(phi::DenseTensor* input,
  PADDLE_ENFORCE_EQ(common::product(dims),
  static_cast<int64_t>(data.size()),
  common::errors::InvalidArgument(
- "common::product(dims) and data.size() are not equal"
+ "common::product(dims) and data.size() are not equal, "
  "common::product(dims) is %d and data.size() is %d",
  common::product(dims),
  static_cast<int64_t>(data.size())));

diff --git a/test/custom_op/custom_contiguous.cc b/test/custom_op/custom_contiguous.cc
@@ -24,12 +24,12 @@ static paddle::Tensor Transpose(const paddle::Tensor& t,
  dim0 = dim0 >= 0 ? dim0 : len + dim0;
  dim1 = dim1 >= 0 ? dim1 : len + dim1;
  PD_CHECK(dim0 >= 0 && dim0 < len,
- "dim0 not in range"
+ "dim0 not in range, "
  "dim0:%d ,range:%d",
  dim0,
  len);
  PD_CHECK(dim1 >= 0 && dim1 < len,
- "dim1 not in range"
+ "dim1 not in range, "
  "dim1:%d ,range:%d",
  dim1,
  len);

diff --git a/test/xpu/cpp/beam_search_decode_op_xpu_test.cc b/test/xpu/cpp/beam_search_decode_op_xpu_test.cc
@@ -44,7 +44,7 @@ void GenerateXPUExample(const std::vector<size_t>& level_0,
  common::errors::InvalidArgument(
  "source level is used to describe candidate set"
  ", so it's element should less than level_1 length. "
- "And the value of source"
+ "And the value of source "
  "level is %d. ",
  level_1.size() - 1));
  PADDLE_ENFORCE_EQ(level_1.back(),