Merge pull request #548 from zhengshengning/fix_affine_grid

add paddle.nn.functional.affine_grid config

Author: cangtianhuang

tester/api_config/5_accuracy/accuracy_7.txt

@@ -92540,13 +92540,24 @@ paddle.nn.functional.adaptive_max_pool3d(x=Tensor([2, 3, 5, 7, 7],"float32"), ou
 paddle.nn.functional.adaptive_max_pool3d(x=Tensor([2, 3, 5, 7, 7],"float32"), output_size=list[None,3,None,], )
 paddle.nn.functional.affine_grid(Tensor([1, 2, 3],"float32"), Tensor([4],"int32"), align_corners=True, )
 paddle.nn.functional.affine_grid(Tensor([1, 2, 3],"float64"), Tensor([4],"int32"), align_corners=True, )
-paddle.nn.functional.affine_grid(Tensor([2, 2, 3],"float32"), out_shape=list[2,3,244,244,], )
+paddle.nn.functional.affine_grid(Tensor([2, 2, 3],"float32"), out_shape=list[2,3,244,244,], align_corners=True, )
+paddle.nn.functional.affine_grid(Tensor([2, 2, 3],"float32"), out_shape=list[2,3,244,244,], align_corners=False, )
 paddle.nn.functional.affine_grid(Tensor([20, 2, 3],"float32"), Tensor([4],"int64"), align_corners=True, )
 paddle.nn.functional.affine_grid(Tensor([20, 2, 3],"float32"), list[20,1,7,7,], align_corners=True, )
 paddle.nn.functional.affine_grid(Tensor([20, 2, 3],"float32"), list[20,2,5,7,], align_corners=False, )
 paddle.nn.functional.affine_grid(Tensor([20, 2, 3],"float32"), list[20,2,5,7,], align_corners=True, )
 paddle.nn.functional.affine_grid(Tensor([4, 2, 3],"float64"), Tensor([4],"int32"), align_corners=False, )
 paddle.nn.functional.affine_grid(Tensor([4, 2, 3],"float64"), Tensor([4],"int32"), align_corners=True, )
+paddle.nn.functional.affine_grid(Tensor([1, 3, 4],"float32"), Tensor([5],"int32"), align_corners=True, )
+paddle.nn.functional.affine_grid(Tensor([1, 3, 4],"float64"), Tensor([5],"int32"), align_corners=True, )
+paddle.nn.functional.affine_grid(Tensor([2, 3, 4],"float32"), out_shape=list[2,3,2,244,244,], align_corners=True, )
+paddle.nn.functional.affine_grid(Tensor([2, 3, 4],"float32"), out_shape=list[2,3,2,244,244,], align_corners=False, )
+paddle.nn.functional.affine_grid(Tensor([20, 3, 4],"float32"), Tensor([4],"int64"), align_corners=True, )
+paddle.nn.functional.affine_grid(Tensor([20, 3, 4],"float32"), list[20,1,2,7,7,], align_corners=True, )
+paddle.nn.functional.affine_grid(Tensor([20, 3, 4],"float32"), list[20,2,2,5,7,], align_corners=False, )
+paddle.nn.functional.affine_grid(Tensor([20, 3, 4],"float32"), list[20,2,2,5,7,], align_corners=True, )
+paddle.nn.functional.affine_grid(Tensor([4, 3, 4],"float64"), Tensor([5],"int32"), align_corners=False, )
+paddle.nn.functional.affine_grid(Tensor([4, 3, 4],"float64"), Tensor([5],"int32"), align_corners=True, )
 paddle.nn.functional.avg_pool2d(Tensor([1, 1024, 40, 54],"float32"), kernel_size=2, stride=2, padding=0, ceil_mode=True, exclusive=True, divisor_override=None, data_format="NCHW", name=None, )
 paddle.nn.functional.avg_pool2d(Tensor([1, 1024, 40, 60],"float32"), kernel_size=2, stride=2, padding=0, ceil_mode=True, exclusive=True, divisor_override=None, data_format="NCHW", name=None, )
 paddle.nn.functional.avg_pool2d(Tensor([1, 1024, 40, 62],"float32"), kernel_size=2, stride=2, padding=0, ceil_mode=True, exclusive=True, divisor_override=None, data_format="NCHW", name=None, )