Error description optimize for the math dir

Error description optimize for the math dir

paddle/fluid/operators/math/math_function_test.cc

@@ -226,8 +226,8 @@ TEST(math_funciton, set_constant) {
   for (int64_t i = 0; i < t.numel(); ++i) {
     PADDLE_ENFORCE_EQ(10, t.data<int>()[i],
                       paddle::platform::errors::InvalidArgument(
-                          "Each value of input"
-                          "tensor should be 10, but received %d.",
+                          "Each value of input tensor should be 10, "
+                          "but received %d.",
                           t.data<int>()[i]));
   }
   delete ctx;

paddle/fluid/operators/math/sampler.h

@@ -33,10 +33,10 @@ namespace math {
 class Sampler {
  public:
   explicit Sampler(int64_t range, unsigned int seed = 0UL) : range_(range) {
-    PADDLE_ENFORCE_GT(range, 0, platform::errors::InvalidArgument(
-                                    "Range should be"
-                                    " greater than 0, but recevied %d.",
-                                    range));
+    PADDLE_ENFORCE_GT(
+        range, 0,
+        platform::errors::InvalidArgument(
+            "Range should be greater than 0, but recevied %d.", range));
     if (seed == 0) {
       std::random_device r;
       seed_ = r();

paddle/fluid/operators/math/vol2col.cc

@@ -34,15 +34,14 @@ class Vol2ColFunctor<platform::CPUDeviceContext, T> {
                   const std::vector<int>& strides,
                   const std::vector<int>& paddings, framework::Tensor* col,
                   const DataLayout data_layout) const {
-    PADDLE_ENFORCE_EQ(
-        vol.dims().size(), 4,
-        platform::errors::InvalidArgument("The dimension of"
-                                          " vol should be 4, but received %d.",
+    PADDLE_ENFORCE_EQ(vol.dims().size(), 4,
+                      platform::errors::InvalidArgument(
+                          "The dimension of vol should be 4, but received %d.",
                           vol.dims().size()));
-    PADDLE_ENFORCE_EQ(
-        col->dims().size(), 7,
-        platform::errors::InvalidArgument("The dimension of"
-                                          "col should be 7, but received %d.",
+
+    PADDLE_ENFORCE_EQ(col->dims().size(), 7,
+                      platform::errors::InvalidArgument(
+                          "The dimension of col should be 7, but received %d.",
                           col->dims().size()));
 
     int input_channels =
@@ -152,15 +151,14 @@ class Col2VolFunctor<platform::CPUDeviceContext, T> {
                   const std::vector<int>& strides,
                   const std::vector<int>& paddings, framework::Tensor* vol,
                   const DataLayout data_layout) const {
-    PADDLE_ENFORCE_EQ(
-        vol->dims().size(), 4,
-        platform::errors::InvalidArgument("The dimension of vol"
-                                          " should be 4, but received %d.",
+    PADDLE_ENFORCE_EQ(vol->dims().size(), 4,
+                      platform::errors::InvalidArgument(
+                          "The dimension of vol should be 4, but received %d.",
                           vol->dims().size()));
-    PADDLE_ENFORCE_EQ(
-        col.dims().size(), 7,
-        platform::errors::InvalidArgument("The dimension of col"
-                                          " should be 7, but received %d.",
+
+    PADDLE_ENFORCE_EQ(col.dims().size(), 7,
+                      platform::errors::InvalidArgument(
+                          "The dimension of col  should be 7, but received %d.",
                           col.dims().size()));
 
     int input_channels =
@@ -192,28 +190,28 @@ class Col2VolFunctor<platform::CPUDeviceContext, T> {
                             ((dilations[0] * (filter_depth - 1) + 1))) /
                                strides[0] +
                            1;
-    PADDLE_ENFORCE_EQ(input_depth_tmp, output_depth,
+    PADDLE_ENFORCE_EQ(
+        input_depth_tmp, output_depth,
         platform::errors::InvalidArgument(
-                          "input_depth(%d)"
-                          " and output_depth(%d) are mismatching.",
+            "input_depth(%d) and output_depth(%d) are mismatching.",
             input_depth_tmp, output_depth));
     auto input_height_tmp = (input_height + pad_h_up + pad_h_down -
                              ((dilations[1] * (filter_height - 1) + 1))) /
                                 strides[1] +
                             1;
-    PADDLE_ENFORCE_EQ(input_height_tmp, output_height,
+    PADDLE_ENFORCE_EQ(
+        input_height_tmp, output_height,
         platform::errors::InvalidArgument(
-                          "input_height(%d)"
-                          " and output_height(%d) are mismatching.",
+            "input_height(%d) and output_height(%d) are mismatching.",
             input_height_tmp, output_height));
     auto input_width_tmp = (input_width + pad_w_left + pad_w_right -
                             ((dilations[2] * (filter_width - 1) + 1))) /
                                strides[2] +
                            1;
-    PADDLE_ENFORCE_EQ(input_width_tmp, output_width,
+    PADDLE_ENFORCE_EQ(
+        input_width_tmp, output_width,
         platform::errors::InvalidArgument(
-                          "input_width(%d)"
-                          " and output_width(%d) are mismatching.",
+            "input_width(%d)  and output_width(%d) are mismatching.",
             input_width_tmp, output_width));
     T* vol_data = vol->data<T>();
     const T* col_data = col.data<T>();

paddle/fluid/operators/math/vol2col.cu

@@ -90,15 +90,13 @@ class Vol2ColFunctor<platform::CUDADeviceContext, T> {
                   const std::vector<int>& strides,
                   const std::vector<int>& paddings, framework::Tensor* col,
                   const DataLayout data_layout) const {
-    PADDLE_ENFORCE_EQ(
-        vol.dims().size(), 4,
-        platform::errors::InvalidArgument("The dimension of"
-                                          " vol should be 4, but received %d.",
+    PADDLE_ENFORCE_EQ(vol.dims().size(), 4,
+                      platform::errors::InvalidArgument(
+                          "The dimension of  vol should be 4, but received %d.",
                           vol.dims().size()));
-    PADDLE_ENFORCE_EQ(
-        col->dims().size(), 7,
-        platform::errors::InvalidArgument("The dimension of"
-                                          "col should be 7, but received %d.",
+    PADDLE_ENFORCE_EQ(col->dims().size(), 7,
+                      platform::errors::InvalidArgument(
+                          "The dimension of col should be 7, but received %d.",
                           col->dims().size()));
 
     int input_channels =
@@ -253,15 +251,13 @@ class Col2VolFunctor<platform::CUDADeviceContext, T> {
                   const std::vector<int>& strides,
                   const std::vector<int>& paddings, framework::Tensor* vol,
                   const DataLayout data_layout) const {
-    PADDLE_ENFORCE_EQ(
-        vol->dims().size(), 4,
-        platform::errors::InvalidArgument("The dimension of vol"
-                                          " should be 4, but received %d.",
+    PADDLE_ENFORCE_EQ(vol->dims().size(), 4,
+                      platform::errors::InvalidArgument(
+                          "The dimension of vol  should be 4, but received %d.",
                           vol->dims().size()));
-    PADDLE_ENFORCE_EQ(
-        col.dims().size(), 7,
-        platform::errors::InvalidArgument("The dimension of col"
-                                          " should be 7, but received %d.",
+    PADDLE_ENFORCE_EQ(col.dims().size(), 7,
+                      platform::errors::InvalidArgument(
+                          "The dimension of col  should be 7, but received %d.",
                           col.dims().size()));
 
     int input_channels =
@@ -291,28 +287,28 @@ class Col2VolFunctor<platform::CUDADeviceContext, T> {
                             ((dilations[0] * (filter_depth - 1) + 1))) /
                                strides[0] +
                            1;
-    PADDLE_ENFORCE_EQ(input_depth_tmp, output_depth,
+    PADDLE_ENFORCE_EQ(
+        input_depth_tmp, output_depth,
         platform::errors::InvalidArgument(
-                          "input_depth(%d)"
-                          " and output_depth(%d) are mismatching.",
+            "input_depth(%d) and output_depth(%d) are mismatching.",
             input_depth_tmp, output_depth));
     auto input_height_tmp = (input_height + pad_h_up + pad_h_down -
                              ((dilations[1] * (filter_height - 1) + 1))) /
                                 strides[1] +
                             1;
-    PADDLE_ENFORCE_EQ(input_height_tmp, output_height,
+    PADDLE_ENFORCE_EQ(
+        input_height_tmp, output_height,
         platform::errors::InvalidArgument(
-                          "input_height(%d)"
-                          " and output_height(%d) are mismatching.",
+            "input_height(%d) and output_height(%d) are mismatching.",
             input_height_tmp, output_height));
     auto input_width_tmp = (input_width + pad_w_left + pad_w_right -
                             ((dilations[2] * (filter_width - 1) + 1))) /
                                strides[2] +
                            1;
-    PADDLE_ENFORCE_EQ(input_width_tmp, output_width,
+    PADDLE_ENFORCE_EQ(
+        input_width_tmp, output_width,
         platform::errors::InvalidArgument(
-                          "input_width(%d)"
-                          " and output_width(%d) are mismatching.",
+            "input_width(%d) and output_width(%d) are mismatching.",
             input_width_tmp, output_width));
 
     int num_kernels = input_channels * input_depth * input_height * input_width;