fix crop shape None error (#46813)

* fix crop shape None error

* add test case

* fix testcase

* fix import

* fix testcase

* fix codestyle

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

@@ -15,6 +15,8 @@
 import unittest
 import numpy as np
 from op_test import OpTest
+import paddle
+import paddle.fluid as fluid
 
 
 def crop(data, offsets, crop_shape):
@@ -61,6 +63,11 @@ class TestCropOp(OpTest):
             self.inputs['Offsets'] = np.array(self.offsets).astype('int32')
         else:
             self.attrs['offsets'] = self.offsets
+        if self.offsets is None:
+            self.offsets = [0] * len(self.crop_shape)
+        if self.crop_shape is None:
+            self.crop_shape = self.x_shape
+
         self.outputs = {
             'Out': crop(self.inputs['X'], self.offsets, self.crop_shape)
         }
@@ -130,6 +137,23 @@ class TestCase6(TestCropOp):
         self.offset_by_input = True
 
 
+class TestCropNoneOffset(unittest.TestCase):
+
+    def test_crop_none_offset(self):
+        x = fluid.data(name="input1", shape=[3, 6, 6], dtype="float32")
+        crop_shape = [2, 2, 2]
+        crop = paddle.crop(x, crop_shape, None)
+        self.assertEqual(crop.shape, (2, 2, 2))
+
+
+class TestCropNoneShape(unittest.TestCase):
+
+    def test_crop_none_shape(self):
+        x = fluid.data(name="input1", shape=[3, 6, 6], dtype="float32")
+        crop = paddle.crop(x)
+        self.assertEqual(crop.shape, (3, 6, 6))
+
+
 if __name__ == '__main__':
     import paddle
     paddle.enable_static()

python/paddle/tensor/manipulation.py

@@ -634,13 +634,17 @@ def crop(x, shape=None, offsets=None, name=None):
     helper = LayerHelper('crop_tensor', **locals())
     check_variable_and_dtype(x, 'x', ['float32', 'float64', 'int32', 'int64'],
                              'crop_tensor')
-    check_type(shape, 'shape', (list, tuple, Variable), 'crop_tensor')
+    check_type(shape, 'shape', (list, tuple, Variable, type(None)),
+               'crop_tensor')
     check_type(offsets, 'offsets', (list, tuple, Variable, type(None)),
                'crop_tensor')
 
     if offsets is None:
         offsets = [0] * len(x.shape)
 
+    if shape is None:
+        shape = x.shape
+
     if in_dygraph_mode():
         return _C_ops.crop_tensor(x, shape, offsets)