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Refine error message, test=develop (#23823)

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* refine error message, test=develop
revert-22778-infer_var_type
Bai Yifan 6 years ago committed by GitHub
parent ddd604446b
commit fc1b140aba
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GPG Key ID: 4AEE18F83AFDEB23
4 changed files with 101 additions and 67 deletions
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62
paddle/fluid/operators/deformable_conv_op.cc
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@ -138,40 +138,46 @@ class DeformableConvOp : public framework::OperatorWithKernel {
PADDLE_ENFORCE_EQ(in_dims.size(), filter_dims.size(),
platform::errors::InvalidArgument(
"Conv input dimension and filter dimension should be "
"the same. The diff is [%d] vs [%d]",
"the same. The difference is [%d]: [%d]",
in_dims.size(), filter_dims.size()));
PADDLE_ENFORCE_EQ(
in_dims.size() - strides.size(), 2U,
platform::errors::InvalidArgument("Conv input dimension and strides "
"dimension should be consistent."));
PADDLE_ENFORCE_EQ(in_dims.size() - strides.size(), 2U,
platform::errors::InvalidArgument(
"Conv input dimension and strides "
"dimension should be consistent. But received input "
"dimension:[%d], strides dimension:[%d]",
in_dims.size(), strides.size()));
PADDLE_ENFORCE_EQ(paddings.size(), strides.size(),
platform::errors::InvalidArgument(
"Conv paddings dimension and Conv strides dimension "
"should be the same. The diff is [%d] vs [%d]",
"should be the same. The difference is [%d]: [%d]",
paddings.size(), strides.size()));
PADDLE_ENFORCE_EQ(
in_dims[1], filter_dims[1] * groups,
platform::errors::InvalidArgument(
"The number of input channels should be equal to filter "
"channels * groups. The diff is [%d] vs [%d]",
"channels * groups. The difference is [%d]: [%d]",
in_dims[1], filter_dims[1] * groups));
PADDLE_ENFORCE_EQ(
filter_dims[0] % groups, 0,
platform::errors::InvalidArgument(
"The number of output channels should be divided by groups."));
"The number of output channels should be divided by groups. But "
"received output channels:[%d], groups:[%d]",
filter_dims[0], groups));
PADDLE_ENFORCE_EQ(
filter_dims[0] % deformable_groups, 0,
platform::errors::InvalidArgument(
"The number of output channels should be "
"divided by deformable groups. The diff is [%d] vs [%d]",
"divided by deformable groups. The difference is [%d]: [%d]",
filter_dims[0] % groups, 0));
if (in_dims[0] > im2col_step) {
PADDLE_ENFORCE_EQ(
in_dims[0] % im2col_step, 0U,
platform::errors::InvalidArgument(
"Input batchsize must be smaller than or divide im2col_step"));
"Input batchsize must be smaller than or divide im2col_step. But "
"received Input batchsize:[%d], im2col_step:[%d]",
in_dims[0], im2col_step));
}
for (size_t i = 0; i < strides.size(); ++i) {
@ -198,46 +204,58 @@ class DeformableConvOp : public framework::OperatorWithKernel {
PADDLE_ENFORCE_EQ(
output_shape[1] % deformable_groups, 0U,
platform::errors::InvalidArgument(
"output num_filter must divide deformable group size."));
"output num_filter must divide deformable group size. But received "
"output num_filter:[%d], deformable group size:[%d]",
output_shape[1], deformable_groups));
if (ctx->IsRuntime()) {
PADDLE_ENFORCE_EQ(output_shape[2], offset_dims[2],
platform::errors::InvalidArgument(
"output height must equal to offset map height. "
"The diff is [%d] vs [%d]",
"The difference is [%d]: [%d]",
output_shape[2], offset_dims[2]));
PADDLE_ENFORCE_EQ(output_shape[3], offset_dims[3],
platform::errors::InvalidArgument(
"output width must equal to offset map width. The "
"diff is [%d] vs [%d]",
"difference is [%d]: [%d]",
output_shape[3], offset_dims[3]));
PADDLE_ENFORCE_EQ(
offset_dims[1] % (filter_dims[2] * filter_dims[3]), 0U,
platform::errors::InvalidArgument(
"offset filter must divide deformable group size."));
PADDLE_ENFORCE_EQ(offset_dims[1] % (filter_dims[2] * filter_dims[3]), 0U,
platform::errors::InvalidArgument(
"offset filter must divide deformable group size. "
"But received [%d]: [%d]",
offset_dims[1], filter_dims[2] * filter_dims[3]));
PADDLE_ENFORCE_EQ(
offset_dims[1] / (2 * filter_dims[2] * filter_dims[3]),
deformable_groups,
platform::errors::InvalidArgument(
"offset filter must divide deformable group size."));
"offset filter must divide deformable group size. But received "
"[%d]: [%d]",
offset_dims[1] / (2 * filter_dims[2] * filter_dims[3]),
deformable_groups));
PADDLE_ENFORCE_EQ(output_shape[2], mask_dims[2],
platform::errors::InvalidArgument(
"output height must equal to mask map height. The "
"diff is [%d] vs [%d]",
"difference is [%d] vs [%d]",
output_shape[2], mask_dims[2]));
PADDLE_ENFORCE_EQ(output_shape[3], mask_dims[3],
platform::errors::InvalidArgument(
"output width must equal to mask map width. The "
"diff is [%d] vs [%d]",
"difference is [%d] vs [%d]",
output_shape[3], mask_dims[3]));
PADDLE_ENFORCE_EQ(mask_dims[1] % (filter_dims[2] * filter_dims[3]), 0U,
platform::errors::InvalidArgument(
"mask filter must divide deformable group size."));
"mask filter must divide deformable group size. "
"But received [%d]: [%d]",
mask_dims[1], filter_dims[2] * filter_dims[3]));
PADDLE_ENFORCE_EQ(mask_dims[1] / (filter_dims[2] * filter_dims[3]),
deformable_groups,
platform::errors::InvalidArgument(
"mask filter must divide deformable group size."));
"mask filter must divide deformable group size. "
"But received [%d]: [%d]",
mask_dims[1] / (filter_dims[2] * filter_dims[3]),
deformable_groups));
}
ctx->SetOutputDim("Output", framework::make_ddim(output_shape));

64
paddle/fluid/operators/deformable_conv_v1_op.cc
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@ -142,36 +142,45 @@ class DeformableConvV1Op : public framework::OperatorWithKernel {
PADDLE_ENFORCE_EQ(in_dims.size(), filter_dims.size(),
platform::errors::InvalidArgument(
"Conv input dimension and filter dimension should be "
"the same. the diff is [%d] vs [%d]",
"the same. the difference is [%d] vs [%d]",
in_dims.size(), filter_dims.size()));
PADDLE_ENFORCE_EQ(
in_dims.size() - strides.size(), 2U,
platform::errors::InvalidArgument("Conv input dimension and strides "
"dimension should be consistent."));
platform::errors::InvalidArgument(
"Conv input dimension and strides "
"dimension should be consistent., But received [%d]: [%d]",
in_dims.size(), strides.size()));
PADDLE_ENFORCE_EQ(paddings.size(), strides.size(),
platform::errors::InvalidArgument(
"Conv paddings dimension and Conv strides dimension "
"should be the same. The diff is [%d] vs [%d]",
"should be the same. The difference is [%d] vs [%d]",
paddings.size(), strides.size()));
PADDLE_ENFORCE_EQ(
in_dims[1], filter_dims[1] * groups,
platform::errors::InvalidArgument(
"The number of input channels should be equal to filter "
"channels * groups."));
"channels * groups. The difference is [%d]: [%d]",
in_dims[1], filter_dims[1] * groups));
PADDLE_ENFORCE_EQ(
filter_dims[0] % groups, 0,
"The number of output channels should be divided by groups.");
PADDLE_ENFORCE_EQ(filter_dims[0] % deformable_groups, 0,
platform::errors::InvalidArgument(
"The number of output channels should be "
"divided by deformable groups."));
platform::errors::InvalidArgument(
"The number of output channels should be divided by groups. But"
"received output channels: [%d], groups: [%d]",
filter_dims[0], groups));
PADDLE_ENFORCE_EQ(
filter_dims[0] % deformable_groups, 0,
platform::errors::InvalidArgument(
"The number of output channels should be "
"divided by deformable groups. But received [%d]: [%d]",
filter_dims[0], deformable_groups));
if (in_dims[0] > im2col_step) {
PADDLE_ENFORCE_EQ(
in_dims[0] % im2col_step, 0U,
platform::errors::InvalidArgument(
"Input batchsize must be smaller than or divide im2col_step"));
PADDLE_ENFORCE_EQ(in_dims[0] % im2col_step, 0U,
platform::errors::InvalidArgument(
"Input batchsize must be smaller than or divide "
"im2col_step, But received [%d]: [%d]",
in_dims[0], im2col_step));
}
for (size_t i = 0; i < strides.size(); ++i) {
@ -195,29 +204,34 @@ class DeformableConvV1Op : public framework::OperatorWithKernel {
}
}
if (ctx->IsRuntime()) {
PADDLE_ENFORCE_EQ(
output_shape[1] % deformable_groups, 0U,
platform::errors::InvalidArgument(
"output num_filter must divide deformable group size."));
PADDLE_ENFORCE_EQ(output_shape[1] % deformable_groups, 0U,
platform::errors::InvalidArgument(
"output num_filter must divide deformable group "
"size. But received [%d]: [%d]",
output_shape[1], deformable_groups));
PADDLE_ENFORCE_EQ(output_shape[2], offset_dims[2],
platform::errors::InvalidArgument(
"output height must equal to offset map height. "
"The diff is [%d] vs [%d]",
"The difference is [%d]: [%d]",
output_shape[2], offset_dims[2]));
PADDLE_ENFORCE_EQ(output_shape[3], offset_dims[3],
platform::errors::InvalidArgument(
"output width must equal to offset map width. The "
"diff is [%d] vs [%d]",
"difference is [%d]: [%d]",
output_shape[3], offset_dims[3]));
PADDLE_ENFORCE_EQ(
offset_dims[1] % (filter_dims[2] * filter_dims[3]), 0U,
platform::errors::InvalidArgument(
"offset filter must divide deformable group size."));
PADDLE_ENFORCE_EQ(offset_dims[1] % (filter_dims[2] * filter_dims[3]), 0U,
platform::errors::InvalidArgument(
"offset filter must divide deformable group size. "
"But received [%d]: [%d]",
offset_dims[1], filter_dims[2] * filter_dims[3]));
PADDLE_ENFORCE_EQ(
offset_dims[1] / (2 * filter_dims[2] * filter_dims[3]),
deformable_groups,
platform::errors::InvalidArgument(
"offset filter must divide deformable group size."));
"offset filter must divide deformable group size. But received "
"[%d]: [%d]",
offset_dims[1] / (2 * filter_dims[2] * filter_dims[3]),
deformable_groups));
}
ctx->SetOutputDim("Output", framework::make_ddim(output_shape));
}

2
paddle/fluid/operators/detection/polygon_box_transform_op.cc
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@ -72,7 +72,7 @@ class PolygonBoxTransformOp : public framework::OperatorWithKernel {
PADDLE_ENFORCE_EQ(in_dim[1] % 2, 0,
platform::errors::InvalidArgument(
"input's second dimension must be even. But "
"received: Input 2nd dim is [%d]",
"received: Input 2nd dimension is [%d]",
in_dim[1]));
ctx->SetOutputDim("Output", in_dim);

40
paddle/fluid/operators/teacher_student_sigmoid_loss_op.cc
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@ -37,22 +37,22 @@ class TeacherStudentSigmoidLossOp : public framework::OperatorWithKernel {
auto x_dims = ctx->GetInputDim("X");
auto label_dims = ctx->GetInputDim("Label");
PADDLE_ENFORCE_EQ(
x_dims.size(), 2UL,
platform::errors::NotFound("Input(X)'s rank should be 2. But received: "
"Input(X)'s rank is [%d]",
x_dims.size()));
PADDLE_ENFORCE_EQ(
label_dims.size(), 2UL,
platform::errors::NotFound("Input(Label)'s rank should be 2. But "
"received Input(Label)'s rank is [%d]",
label_dims.size()));
PADDLE_ENFORCE_EQ(x_dims.size(), 2UL,
platform::errors::InvalidArgument(
"Input(X)'s rank should be 2. But received: "
"Input(X)'s rank is [%d]",
x_dims.size()));
PADDLE_ENFORCE_EQ(label_dims.size(), 2UL,
platform::errors::InvalidArgument(
"Input(Label)'s rank should be 2. But "
"received Input(Label)'s rank is [%d]",
label_dims.size()));
if (ctx->IsRuntime()) {
PADDLE_ENFORCE_EQ(
x_dims[0], label_dims[0],
platform::errors::InvalidArgument(
"The 1st dimension of Input(X) and Input(Label) should "
"be equal. The diff is [%d] vs [%d]",
"be equal. The difference is [%d]: [%d]",
x_dims[0], label_dims[0]));
PADDLE_ENFORCE_EQ(label_dims[1], 1UL,
platform::errors::InvalidArgument(
@ -135,24 +135,26 @@ class TeacherStudentSigmoidLossGradientOp
x_dims[0], label_dims[0],
platform::errors::InvalidArgument(
"The 1st dimension of Input(X) and Input(Label) should "
"be equal. The diff is [%d] vs [%d]",
"be equal. The difference is [%d]: [%d]",
x_dims[0], label_dims[0]));
PADDLE_ENFORCE_EQ(
x_dims[0], dy_dims[0],
platform::errors::InvalidArgument(
"The 1st dimension of Input(X) and Input(Y@Grad) should "
"be equal. The diff is [%d] vs [%d]",
"be equal. The difference is [%d]: [%d]",
x_dims[0], dy_dims[0]));
PADDLE_ENFORCE_EQ(dy_dims[1], 1,
platform::errors::InvalidArgument(
"The 2nd dimension of Input(Y@Grad) should be 1. "
"But received Input(Y@Grad)'s 2nd dim is [%d]",
dy_dims[1]));
PADDLE_ENFORCE_EQ(
dy_dims[1], 1,
platform::errors::InvalidArgument(
"The 2nd dimension of Input(Y@Grad) should be 1. "
"But received Input(Y@Grad)'s 2nd dimension is [%d]",
dy_dims[1]));
PADDLE_ENFORCE_EQ(
label_dims[1], 1,
platform::errors::InvalidArgument(
"When Attr(soft_label) == false, the 2nd dimension of "
"Input(Label) should be 1. But received Input(Label)'s 2nd dim "
"Input(Label) should be 1. But received Input(Label)'s 2nd "
"dimemsion "
"is [%d]",
label_dims[1]));
}

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