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未验证 提交 526a2117 编写于 作者: F FDInSky 提交者： GitHub
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update conv error info (#24430) 

* test=develop update conv error info

* test=develop update iou_similarity error info

* test=develop update some error info based review
上级 c2103c48
隐藏空白更改
内联 并排
Showing with 198 addition and 97 deletion
paddle/fluid/operators/detection/iou_similarity_op.cc
浏览文件 @ 526a2117
......@@ -23,17 +23,29 @@ class IOUSimilarityOp : public framework::OperatorWithKernel {
protected:
void InferShape(framework::InferShapeContext *ctx) const override {
PADDLE_ENFORCE(ctx->HasInput("X"),
"Input(X) of IOUSimilarityOp should not be null.");
PADDLE_ENFORCE(ctx->HasInput("Y"),
"Input(Y) of IOUSimilarityOp should not be null.");
OP_INOUT_CHECK(ctx->HasInput("X"), "Input", "X", "iou_similarity");
OP_INOUT_CHECK(ctx->HasInput("Y"), "Input", "Y", "iou_similarity");
auto x_dims = ctx->GetInputDim("X");
auto y_dims = ctx->GetInputDim("Y");
PADDLE_ENFORCE_EQ(x_dims.size(), 2UL, "The rank of Input(X) must be 2.");
PADDLE_ENFORCE_EQ(x_dims[1], 4UL, "The shape of X is [N, 4]");
PADDLE_ENFORCE_EQ(y_dims.size(), 2UL, "The rank of Input(Y) must be 2.");
PADDLE_ENFORCE_EQ(y_dims[1], 4UL, "The shape of Y is [M, 4]");
PADDLE_ENFORCE_EQ(
x_dims.size(), 2UL,
platform::errors::InvalidArgument(
"The rank of Input(X) must be 2, but got dimension = %d.",
x_dims.size()));
PADDLE_ENFORCE_EQ(
x_dims[1], 4UL,
platform::errors::InvalidArgument(
"The shape of X is [N, 4], bug got dimension = %d.", x_dims[1]));
PADDLE_ENFORCE_EQ(
y_dims.size(), 2UL,
platform::errors::InvalidArgument(
"The rank of Input(Y) must be 2, but got dimension = %d.",
y_dims.size()));
PADDLE_ENFORCE_EQ(
y_dims[1], 4UL,
platform::errors::InvalidArgument(
"The shape of Y is [M, 4], but got dimension = %d.", y_dims[1]));
ctx->ShareLoD("X", /*->*/ "Out");
ctx->SetOutputDim("Out", framework::make_ddim({x_dims[0], y_dims[0]}));
......
paddle/fluid/operators/mkldnn/conv_mkldnn_op.cc
浏览文件 @ 526a2117
......@@ -95,7 +95,7 @@ class ConvMKLDNNOpKernel : public paddle::framework::OpKernel<T> {
public:
void Compute(const paddle::framework::ExecutionContext& ctx) const override {
PADDLE_ENFORCE(paddle::platform::is_cpu_place(ctx.GetPlace()),
"It must use CPUPlace.");
platform::errors::InvalidArgument("It must use CPUPlace."));
bool is_INT8 =
std::is_same<T, int8_t>::value || std::is_same<T, uint8_t>::value;
if (!is_INT8) {
......@@ -130,37 +130,59 @@ class ConvMKLDNNOpKernel : public paddle::framework::OpKernel<T> {
auto* output = ctx.Output<Tensor>("Output");
PADDLE_ENFORCE_EQ(input->layout(), DataLayout::kMKLDNN,
"Wrong layout set for Input tensor");
PADDLE_ENFORCE_NE(input->format(), MKLDNNMemoryFormat::undef,
"Wrong format set for Input tensor");
platform::errors::InvalidArgument(
"The input tensor's layout should be %d, but got %d.",
DataLayout::kMKLDNN, input->layout()));
PADDLE_ENFORCE_NE(
input->format(), MKLDNNMemoryFormat::undef,
platform::errors::InvalidArgument("Wrong format set for Input tensor"));
PADDLE_ENFORCE_EQ(filter->layout(), DataLayout::kMKLDNN,
"Wrong layout set for Filter tensor");
PADDLE_ENFORCE_EQ(
filter->layout(), DataLayout::kMKLDNN,
platform::errors::InvalidArgument(
"The Filter tensor's layout should be %d, but got %d.",
DataLayout::kMKLDNN, filter->layout()));
PADDLE_ENFORCE_NE(filter->format(), MKLDNNMemoryFormat::undef,
"Wrong format set for Filter tensor");
PADDLE_ENFORCE_GE(
input->dims().size(), 4,
"Input must be with 4 or 5 dimensions, i.e. NCHW or NCDHW");
PADDLE_ENFORCE_LE(
input->dims().size(), 5,
"Input must be with 4 or 5 dimensions, i.e. NCHW or NCDHW");
PADDLE_ENFORCE_GE(
filter->dims().size(), 4,
"Filter must be with 4 or 5 dimensions, i.e. OIHW or OIDHW");
PADDLE_ENFORCE_LE(
filter->dims().size(), 5,
"Filter must be with 4 or 5 dimensions, i.e. OIHW or OIDHW");
platform::errors::InvalidArgument(
"Wrong format set for Filter tensor"));
PADDLE_ENFORCE_GE(input->dims().size(), 4,
platform::errors::InvalidArgument(
"Input must be with 4 or 5 dimensions, i.e. NCHW or "
"NCDHW, but got dimension = %d .",
input->dims().size()));
PADDLE_ENFORCE_LE(input->dims().size(), 5,
platform::errors::InvalidArgument(
"Input must be with 4 or 5 dimensions, i.e. NCHW or "
"NCDHW, but got dimension = %d .",
input->dims().size()));
PADDLE_ENFORCE_GE(filter->dims().size(), 4,
platform::errors::InvalidArgument(
"Filter must be with 4 or 5 dimensions, i.e. OIHW or "
"OIDHW, but got dimension = %d .",
filter->dims().size()));
PADDLE_ENFORCE_LE(filter->dims().size(), 5,
platform::errors::InvalidArgument(
"Filter must be with 4 or 5 dimensions, i.e. OIHW or "
"OIDHW, but got dimension = %d .",
filter->dims().size()));
if (bias) {
PADDLE_ENFORCE_EQ(bias->layout(), DataLayout::kMKLDNN,
"Wrong layout set for Bias tensor");
PADDLE_ENFORCE_EQ(
bias->layout(), DataLayout::kMKLDNN,
platform::errors::InvalidArgument(
"The Bias tensor's layout should be %d, but got %d.",
DataLayout::kMKLDNN, bias->layout()));
PADDLE_ENFORCE_NE(bias->format(), MKLDNNMemoryFormat::undef,
"Wrong format set for Bias tensor");
platform::errors::InvalidArgument(
"Got wrong format for Bias tensor."));
PADDLE_ENFORCE_EQ(bias->dims().size(), 1,
"Bias must only have 1 dimension, i.e. X");
PADDLE_ENFORCE_EQ(
bias->dims().size(), 1,
platform::errors::InvalidArgument("Bias must only have 1 dimension, "
"i.e. X, but got dimension = %d .",
bias->dims().size()));
}
std::vector<int> strides_temp = ctx.Attr<std::vector<int>>("strides");
......@@ -295,10 +317,16 @@ class ConvMKLDNNOpKernel : public paddle::framework::OpKernel<T> {
PADDLE_ENFORCE_NE(
residual_param_data, nullptr,
"Provide data if you want MKLDNN conv+elementwise_add fusion");
PADDLE_ENFORCE_EQ(output->dims(), residual_param->dims(),
"Output and elementwise parameter need to have the "
"same dimension sizes");
platform::errors::InvalidArgument(
"Provide data if you want MKLDNN conv+elementwise_add fusion"));
PADDLE_ENFORCE_EQ(
output->dims(), residual_param->dims(),
platform::errors::InvalidArgument(
"Output and elementwise parameter need to have the "
"same dimension sizes, "
"but got output's dimension = %d and residual param's dimension "
"= %d .",
output->dims().size(), residual_param->dims().size()));
if (residual_param->format() != handler.GetDstFormat()) {
auto output_data =
......@@ -371,16 +399,23 @@ class ConvMKLDNNOpKernel : public paddle::framework::OpKernel<T> {
auto* output = ctx.Output<Tensor>("Output");
PADDLE_ENFORCE_EQ(input->layout(), DataLayout::kMKLDNN,
"Wrong layout set for Input tensor");
platform::errors::InvalidArgument(
"The input tensor's layout should be %d, but got %d.",
DataLayout::kMKLDNN, input->layout()));
PADDLE_ENFORCE_NE(input->format(), MKLDNNMemoryFormat::undef,
"Wrong format set for Input tensor");
PADDLE_ENFORCE_GE(
input->dims().size(), 4,
"Input must be with 4 or 5 dimensions, i.e. NCHW or NCDHW");
PADDLE_ENFORCE_LE(
input->dims().size(), 5,
"Input must be with 4 or 5 dimensions, i.e. NCHW or NCDHW");
platform::errors::InvalidArgument(
"Got wrong format for Input tensor."));
PADDLE_ENFORCE_GE(input->dims().size(), 4,
platform::errors::InvalidArgument(
"Input must be with 4 or 5 dimensions, i.e. NCHW or "
"NCDHW, but got dimension = %d .",
input->dims().size()));
PADDLE_ENFORCE_LE(input->dims().size(), 5,
platform::errors::InvalidArgument(
"Input must be with 4 or 5 dimensions, i.e. NCHW or "
"NCDHW, but got dimension = %d .",
input->dims().size()));
std::string fuse_activation = ctx.Attr<std::string>("fuse_activation");
bool fuse_residual_conn = ctx.Attr<bool>("fuse_residual_connection");
......@@ -438,17 +473,25 @@ class ConvMKLDNNOpKernel : public paddle::framework::OpKernel<T> {
auto* filter = ctx.Input<Tensor>("Filter");
PADDLE_ENFORCE_EQ(filter->layout(), DataLayout::kMKLDNN,
"Wrong layout set for Filter tensor");
PADDLE_ENFORCE_EQ(
filter->layout(), DataLayout::kMKLDNN,
platform::errors::InvalidArgument(
"The filter tensor's layout should be %d, but got %d.",
DataLayout::kMKLDNN, filter->layout()));
PADDLE_ENFORCE_NE(filter->format(), MKLDNNMemoryFormat::undef,
"Wrong format set for Filter tensor");
PADDLE_ENFORCE_GE(
filter->dims().size(), 4,
"Filter must be with 4 or 5 dimensions, i.e. OIHW or OIDHW");
PADDLE_ENFORCE_LE(
filter->dims().size(), 5,
"Filter must be with 4 or 5 dimensions, i.e. OIHW or OIDHW");
platform::errors::InvalidArgument(
"Got wrong format for Filter tensor."));
PADDLE_ENFORCE_GE(filter->dims().size(), 4,
platform::errors::InvalidArgument(
"Filter must be with 4 or 5 dimensions, i.e. OIHW "
"or OIDHW, but got dimensions = %d .",
filter->dims().size()));
PADDLE_ENFORCE_LE(filter->dims().size(), 5,
platform::errors::InvalidArgument(
"Filter must be with 4 or 5 dimensions, i.e. OIHW "
"or OIDHW, but got dimensions = %d .",
filter->dims().size()));
PADDLE_ENFORCE_EQ(
!fuse_residual_conn || !force_fp32_output, true,
......@@ -457,13 +500,20 @@ class ConvMKLDNNOpKernel : public paddle::framework::OpKernel<T> {
auto* bias = ctx.HasInput("Bias") ? ctx.Input<Tensor>("Bias") : nullptr;
if (bias) {
PADDLE_ENFORCE_EQ(bias->layout(), DataLayout::kMKLDNN,
"Wrong layout set for Bias tensor");
PADDLE_ENFORCE_EQ(
bias->layout(), DataLayout::kMKLDNN,
platform::errors::InvalidArgument(
"The bias tensor's layout should be %d, but got %d.",
DataLayout::kMKLDNN, bias->layout()));
PADDLE_ENFORCE_NE(bias->format(), MKLDNNMemoryFormat::undef,
"Wrong format set for Bias tensor");
platform::errors::InvalidArgument(
"Got wrong format for Bias tensor."));
PADDLE_ENFORCE_EQ(bias->dims().size(), 1,
"Bias must only have 1 dimension, i.e. X");
platform::errors::InvalidArgument(
"Bias must only have 1 dimension, i.e. X, but "
"got dimension = %d .",
bias->dims().size()));
}
std::vector<int> strides_temp = ctx.Attr<std::vector<int>>("strides");
......@@ -482,7 +532,9 @@ class ConvMKLDNNOpKernel : public paddle::framework::OpKernel<T> {
bool is_conv3d = strides.size() == 3U;
PADDLE_ENFORCE_NE(is_conv3d, true,
"int8 does not support conv3d currently");
platform::errors::InvalidArgument(
"int8 does not support conv3d currently, should "
"set param is_conv3d as False"));
auto input_dims = input->dims();
auto data_dims = framework::slice_ddim(input_dims, 2, input_dims.size());
......@@ -599,9 +651,13 @@ class ConvMKLDNNOpKernel : public paddle::framework::OpKernel<T> {
if (fuse_residual_conn) {
auto residual_param = ctx.Input<Tensor>("ResidualData");
PADDLE_ENFORCE_EQ(output->dims(), residual_param->dims(),
"Output and elementwise parameter need to have the "
"same dimension sizes");
PADDLE_ENFORCE_EQ(
output->dims(), residual_param->dims(),
platform::errors::InvalidArgument(
"Output and elementwise parameter need to have the "
"same dimension sizes, but got output's dimension = %d"
" and residual param's dimension =%d .",
output->dims().size(), residual_param->dims().size()));
auto residual_dt =
paddle::framework::ToMKLDNNDataType(residual_param->type());
if (residual_param->format() != handler->GetDstFormat()) {
......@@ -729,7 +785,7 @@ class ConvMKLDNNGradOpKernel : public paddle::framework::OpKernel<T> {
public:
void Compute(const paddle::framework::ExecutionContext& ctx) const override {
PADDLE_ENFORCE(paddle::platform::is_cpu_place(ctx.GetPlace()),
"It must use CPUPlace.");
platform::errors::InvalidArgument("It must use CPUPlace."));
auto& dev_ctx =
ctx.template device_context<platform::MKLDNNDeviceContext>();
......@@ -743,23 +799,34 @@ class ConvMKLDNNGradOpKernel : public paddle::framework::OpKernel<T> {
Tensor* filter_grad = ctx.Output<Tensor>(framework::GradVarName("Filter"));
PADDLE_ENFORCE_EQ(input->layout(), DataLayout::kMKLDNN,
"Wrong layout set for Input tensor");
platform::errors::InvalidArgument(
"The input tensor's layout should be %d, but got %d.",
DataLayout::kMKLDNN, input->layout()));
PADDLE_ENFORCE_NE(input->format(), MKLDNNMemoryFormat::undef,
"Wrong format set for Input tensor");
platform::errors::InvalidArgument(
"Got wrong format for Input tensor."));
PADDLE_ENFORCE_EQ(filter->layout(), DataLayout::kMKLDNN,
"Wrong layout set for Filter tensor");
PADDLE_ENFORCE_EQ(
filter->layout(), DataLayout::kMKLDNN,
platform::errors::InvalidArgument(
"The filter tensor's layout should be %d, but got %d.",
DataLayout::kMKLDNN, filter->layout()));
PADDLE_ENFORCE_NE(filter->format(), MKLDNNMemoryFormat::undef,
"Wrong format set for Filter tensor");
platform::errors::InvalidArgument(
"Got wrong format for Filter tensor."));
PADDLE_ENFORCE_EQ(output_grad->layout(), DataLayout::kMKLDNN,
"Wrong layout set for output_grad tensor");
PADDLE_ENFORCE_EQ(
output_grad->layout(), DataLayout::kMKLDNN,
platform::errors::InvalidArgument(
"The output_grad tensor's layout should be %d, but got %d.",
DataLayout::kMKLDNN, output_grad->layout()));
PADDLE_ENFORCE_NE(output_grad->format(), MKLDNNMemoryFormat::undef,
"Wrong format set for output_grad tensor");
PADDLE_ENFORCE_EQ(
ctx.Attr<bool>("is_test"), false,
"is_test attribute should be set to False in training phase.");
platform::errors::InvalidArgument(
"is_test attribute should be set to False in training phase."));
if (!input_grad && !filter_grad) return;
......@@ -859,7 +926,8 @@ class ConvMKLDNNGradOpKernel : public paddle::framework::OpKernel<T> {
std::static_pointer_cast<mkldnn::convolution_forward::primitive_desc>(
dev_ctx.GetBlob(key_conv_pd));
PADDLE_ENFORCE_NE(conv_pd, nullptr,
"Fail to find conv_pd in device context");
platform::errors::InvalidArgument(
"Fail to find conv_pd in device context"));
auto mkldnn_paddings = platform::ToMkldnnPadding(paddings);
......
paddle/fluid/operators/mkldnn/conv_transpose_mkldnn_op.cc
浏览文件 @ 526a2117
......@@ -30,12 +30,13 @@ class ConvTransposeMKLDNNOpKernel : public paddle::framework::OpKernel<T> {
public:
void Compute(const paddle::framework::ExecutionContext& ctx) const override {
PADDLE_ENFORCE(paddle::platform::is_cpu_place(ctx.GetPlace()),
"It must use CPUPlace.");
platform::errors::InvalidArgument("It must use CPUPlace."));
const bool is_test = ctx.Attr<bool>("is_test");
PADDLE_ENFORCE(
is_test == true,
"ConvTransposeMKLDNN works only for inference!. Set is_test = True");
PADDLE_ENFORCE_EQ(is_test, true,
platform::errors::InvalidArgument(
"ConvTransposeMKLDNN works only for inference. "
"Set is_test = True. but got is_test=False ."));
auto& dev_ctx =
ctx.template device_context<paddle::platform::MKLDNNDeviceContext>();
......@@ -46,29 +47,49 @@ class ConvTransposeMKLDNNOpKernel : public paddle::framework::OpKernel<T> {
auto* bias = ctx.HasInput("Bias") ? ctx.Input<Tensor>("Bias") : nullptr;
auto* output = ctx.Output<Tensor>("Output");
PADDLE_ENFORCE_EQ(input->layout(), DataLayout::kMKLDNN,
"Wrong layout set for Input tensor");
PADDLE_ENFORCE_EQ(
input->layout(), DataLayout::kMKLDNN,
platform::errors::InvalidArgument(
"Got wrong layout = %d for Input tensor.", input->layout()));
PADDLE_ENFORCE_NE(input->format(), MKLDNNMemoryFormat::undef,
"Wrong format set for Input tensor");
PADDLE_ENFORCE_EQ(filter->layout(), DataLayout::kMKLDNN,
"Wrong layout set for Filter tensor");
platform::errors::InvalidArgument(
"Got wrong format for Input tensor."));
PADDLE_ENFORCE_EQ(
filter->layout(), DataLayout::kMKLDNN,
platform::errors::InvalidArgument(
"The filter tensor's laytout should be %d, but got %d.",
DataLayout::kMKLDNN, filter->layout()));
PADDLE_ENFORCE_NE(filter->format(), MKLDNNMemoryFormat::undef,
"Wrong format set for Filter tensor");
PADDLE_ENFORCE_EQ(input->dims().size(), 4,
"Input must be with 4 dimensions, i.e. NCHW");
PADDLE_ENFORCE_EQ(filter->dims().size(), 4,
"Filter must be with 4 dimensions, i.e. OIHW");
platform::errors::InvalidArgument(
"Got wrong formats for Filter tensor."));
PADDLE_ENFORCE_EQ(
input->dims().size(), 4,
platform::errors::InvalidArgument(
"Input must be with 4 dimensions, i.e. NCHW. but got dimension =%d",
input->dims().size()));
PADDLE_ENFORCE_EQ(
filter->dims().size(), 4,
platform::errors::InvalidArgument("Filter must be with 4 dimensions, "
"i.e. OIHW, but got dimension =%d",
filter->dims().size()));
if (bias) {
PADDLE_ENFORCE_EQ(bias->layout(), DataLayout::kMKLDNN,
"Wrong layout set for Bias tensor");
PADDLE_ENFORCE_EQ(
bias->layout(), DataLayout::kMKLDNN,
platform::errors::InvalidArgument(
"The bias tensor's laytout should be %d, but got %d.",
DataLayout::kMKLDNN, bias->layout()));
PADDLE_ENFORCE_NE(bias->format(), MKLDNNMemoryFormat::undef,
"Wrong format set for Bias tensor");
PADDLE_ENFORCE_EQ(bias->dims().size(), 1,
"Bias must only have 1 dimension, i.e. X");
platform::errors::InvalidArgument(
"Got wrong format for Bias tensor."));
PADDLE_ENFORCE_EQ(
bias->dims().size(), 1,
platform::errors::InvalidArgument("Bias must only have 1 dimension, "
"i.e. X, but got dimension = %d .",
bias->dims().size()));
}
std::vector<int> strides_temp = ctx.Attr<std::vector<int>>("strides");
......
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