fix generate_proposals and affine grid error info (#27636)

paddle/fluid/operators/affine_grid_cudnn_op.cu.cc

@@ -26,8 +26,12 @@ template <typename T>
 class CUDNNAffineGridOpKernel : public framework::OpKernel<T> {
  public:
   void Compute(const framework::ExecutionContext& ctx) const override {
-    PADDLE_ENFORCE(platform::is_gpu_place(ctx.GetPlace()),
-                   "It must use CUDAPlace.");
+    PADDLE_ENFORCE_EQ(
+        platform::is_gpu_place(ctx.GetPlace()), true,
+        platform::errors::InvalidArgument("Only "
+                                          "support for CUDAPlace.Please switch "
+                                          "your context from CPUPlace to "
+                                          "CUDAPlace or update your cudnn."));
     auto& dev_ctx = ctx.template device_context<platform::CUDADeviceContext>();
     auto handle = dev_ctx.cudnn_handle();
     auto* theta = ctx.Input<Tensor>("Theta");
@@ -56,8 +60,11 @@ class CUDNNAffineGridOpKernel : public framework::OpKernel<T> {
     cudnnSpatialTransformerDescriptor_t cudnn_st_desc =
         st_desc.descriptor<T>(4, h_size_data);
 
-    PADDLE_ENFORCE(platform::dynload::cudnnSpatialTfGridGeneratorForward(
-        handle, cudnn_st_desc, theta_data, output_data));
+    PADDLE_ENFORCE_EQ(
+        platform::dynload::cudnnSpatialTfGridGeneratorForward(
+            handle, cudnn_st_desc, theta_data, output_data),
+        0, platform::errors::Fatal("Some errors has occurred "
+                                   "during forward computation in cudnn."));
   }
 };
 
@@ -65,8 +72,12 @@ template <typename T>
 class CUDNNAffineGridGradOpKernel : public framework::OpKernel<T> {
  public:
   void Compute(const framework::ExecutionContext& ctx) const override {
-    PADDLE_ENFORCE(platform::is_gpu_place(ctx.GetPlace()),
-                   "It must use CUDAPlace.");
+    PADDLE_ENFORCE_EQ(platform::is_gpu_place(ctx.GetPlace()), true,
+                      platform::errors::InvalidArgument(
+                          "Only "
+                          "support for CUDAPlace. Please switch "
+                          "your context from CPUPlace to "
+                          "CUDAPlace or update your cudnn."));
     auto& dev_ctx = ctx.template device_context<platform::CUDADeviceContext>();
     auto handle = dev_ctx.cudnn_handle();
     auto output_grad = ctx.Input<Tensor>(framework::GradVarName("Output"));
@@ -95,8 +106,12 @@ class CUDNNAffineGridGradOpKernel : public framework::OpKernel<T> {
     const T* output_grad_data = output_grad->data<T>();
     T* theta_grad_data = theta_grad->mutable_data<T>(ctx.GetPlace());
 
-    PADDLE_ENFORCE(platform::dynload::cudnnSpatialTfGridGeneratorBackward(
-        handle, cudnn_st_desc, output_grad_data, theta_grad_data));
+    PADDLE_ENFORCE_EQ(
+        platform::dynload::cudnnSpatialTfGridGeneratorBackward(
+            handle, cudnn_st_desc, output_grad_data, theta_grad_data),
+        0,
+        "Some errors "
+        "has occurred during forward computation in cudnn;");
   }
 };
 

paddle/fluid/operators/detection/generate_proposals_op.cu

@@ -247,8 +247,6 @@ static void NMS(const platform::CUDADeviceContext &ctx, const Tensor &proposals,
                 const Tensor &sorted_indices, const T nms_threshold,
                 Tensor *keep_out) {
   int boxes_num = proposals.dims()[0];
-  PADDLE_ENFORCE_EQ(boxes_num, sorted_indices.dims()[0]);
-
   const int col_blocks = DIVUP(boxes_num, kThreadsPerBlock);
   dim3 blocks(DIVUP(boxes_num, kThreadsPerBlock),
               DIVUP(boxes_num, kThreadsPerBlock));

python/paddle/fluid/tests/unittests/test_affine_grid_function.py

@@ -12,6 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import paddle
 import numpy as np
 from paddle import fluid, nn
 import paddle.fluid.dygraph as dg
@@ -42,7 +43,7 @@ class AffineGridTestCase(unittest.TestCase):
         self.theta = np.random.randn(*(self.theta_shape)).astype(self.dtype)
 
     def fluid_layer(self, place):
-        # align_corners = True
+        paddle.enable_static()
         main = fluid.Program()
         start = fluid.Program()
         with fluid.unique_name.guard():
@@ -57,6 +58,7 @@ class AffineGridTestCase(unittest.TestCase):
         return y_np
 
     def functional(self, place):
+        paddle.enable_static()
         main = fluid.Program()
         start = fluid.Program()
         with fluid.unique_name.guard():
@@ -74,6 +76,7 @@ class AffineGridTestCase(unittest.TestCase):
         return y_np
 
     def paddle_dygraph_layer(self):
+        paddle.disable_static()
         theta_var = dg.to_variable(
             self.theta) if not self.invalid_theta else "invalid"
         output_shape = dg.to_variable(
@@ -88,7 +91,6 @@ class AffineGridTestCase(unittest.TestCase):
         place = fluid.CPUPlace()
         result1 = self.fluid_layer(place)
         result2 = self.functional(place)
-        with dg.guard(place):
         result3 = self.paddle_dygraph_layer()
         if self.align_corners:
             np.testing.assert_array_almost_equal(result1, result2)

python/paddle/fluid/tests/unittests/test_affine_grid_op.py

@@ -15,6 +15,7 @@
 import unittest
 import numpy as np
 from op_test import OpTest
+import paddle
 
 
 def AffineGrid(theta, size, align_corners):
@@ -113,4 +114,5 @@ class TestAffineGridOpCase4(TestAffineGridOp):
 
 
 if __name__ == '__main__':
+    paddle.enable_static()
     unittest.main()

python/paddle/fluid/tests/unittests/test_generate_proposals_op.py

@@ -18,6 +18,7 @@ import unittest
 import numpy as np
 import sys
 import math
+import paddle
 import paddle.fluid as fluid
 from op_test import OpTest
 from test_multiclass_nms_op import nms
@@ -370,4 +371,5 @@ class TestGenerateProposalsOpNoBoxLeft(TestGenerateProposalsOp):
 
 
 if __name__ == '__main__':
+    paddle.enable_static()
     unittest.main()