Correct the Error description in cropping layer APIs (#18974)

* Correct the Error description in cropping APIs

* Fix failing cropping test cases

keras/layers/reshaping/cropping1d.py

@@ -54,7 +54,7 @@ def compute_output_shape(self, input_shape):
             if length <= 0:
                 raise ValueError(
                     "`cropping` parameter of `Cropping1D` layer must be "
-                    "greater than the input length. Received: input_shape="
+                    "smaller than the input length. Received: input_shape="
                     f"{input_shape}, cropping={self.cropping}"
                 )
         else:
@@ -68,7 +68,7 @@ def call(self, inputs):
         ):
             raise ValueError(
                 "`cropping` parameter of `Cropping1D` layer must be "
-                "greater than the input length. Received: inputs.shape="
+                "smaller than the input length. Received: inputs.shape="
                 f"{inputs.shape}, cropping={self.cropping}"
             )
         if self.cropping[1] == 0:

keras/layers/reshaping/cropping1d_test.py

@@ -64,7 +64,7 @@ def test_cropping_1d_errors_if_cropping_argument_invalid(self):
     def test_cropping_1d_errors_if_cropping_more_than_available(self):
         with self.assertRaisesRegex(
             ValueError,
-            "`cropping` parameter of `Cropping1D` layer must be greater than",
+            "`cropping` parameter of `Cropping1D` layer must be smaller than",
         ):
             input_layer = layers.Input(batch_shape=(3, 5, 7))
             layers.Cropping1D(cropping=(2, 3))(input_layer)
@@ -74,7 +74,7 @@ def test_cropping_1d_error_on_excessive_cropping(self):
 
         with self.assertRaisesRegex(
             ValueError,
-            "`cropping` parameter of `Cropping1D` layer must be greater than",
+            "`cropping` parameter of `Cropping1D` layer must be smaller than",
         ):
             layer = layers.Cropping1D(cropping=(3, 3))
             _ = layer(inputs)

keras/layers/reshaping/cropping2d.py

@@ -96,7 +96,7 @@ def compute_output_shape(self, input_shape):
                 and sum(self.cropping[1]) >= input_shape[3]
             ):
                 raise ValueError(
-                    "Values in `cropping` argument should be greater than the "
+                    "Values in `cropping` argument should be smaller than the "
                     "corresponding spatial dimension of the input. Received: "
                     f"input_shape={input_shape}, cropping={self.cropping}"
                 )
@@ -119,7 +119,7 @@ def compute_output_shape(self, input_shape):
                 and sum(self.cropping[1]) >= input_shape[2]
             ):
                 raise ValueError(
-                    "Values in `cropping` argument should be greater than the "
+                    "Values in `cropping` argument should be smaller than the "
                     "corresponding spatial dimension of the input. Received: "
                     f"input_shape={input_shape}, cropping={self.cropping}"
                 )
@@ -144,7 +144,7 @@ def call(self, inputs):
                 and sum(self.cropping[1]) >= inputs.shape[3]
             ):
                 raise ValueError(
-                    "Values in `cropping` argument should be greater than the "
+                    "Values in `cropping` argument should be smaller than the "
                     "corresponding spatial dimension of the input. Received: "
                     f"inputs.shape={inputs.shape}, cropping={self.cropping}"
                 )
@@ -181,7 +181,7 @@ def call(self, inputs):
                 and sum(self.cropping[1]) >= inputs.shape[2]
             ):
                 raise ValueError(
-                    "Values in `cropping` argument should be greater than the "
+                    "Values in `cropping` argument should be smaller than the "
                     "corresponding spatial dimension of the input. Received: "
                     f"inputs.shape={inputs.shape}, cropping={self.cropping}"
                 )

keras/layers/reshaping/cropping2d_test.py

@@ -126,7 +126,7 @@ def test_cropping_2d_error_on_excessive_cropping(
 
         with self.assertRaisesRegex(
             ValueError,
-            "Values in `cropping` argument should be greater than the "
+            "Values in `cropping` argument should be smaller than the "
             "corresponding spatial dimension of the input.",
         ):
             layer = layers.Cropping2D(

keras/layers/reshaping/cropping3d.py

@@ -112,7 +112,7 @@ def compute_output_shape(self, input_shape):
             spatial_dims[index] -= sum(self.cropping[index])
             if spatial_dims[index] <= 0:
                 raise ValueError(
-                    "Values in `cropping` argument should be greater than the "
+                    "Values in `cropping` argument should be smaller than the "
                     "corresponding spatial dimension of the input. Received: "
                     f"input_shape={input_shape}, cropping={self.cropping}"
                 )
@@ -134,7 +134,7 @@ def call(self, inputs):
             spatial_dims[index] -= sum(self.cropping[index])
             if spatial_dims[index] <= 0:
                 raise ValueError(
-                    "Values in `cropping` argument should be greater than the "
+                    "Values in `cropping` argument should be smaller than the "
                     "corresponding spatial dimension of the input. Received: "
                     f"inputs.shape={inputs.shape}, cropping={self.cropping}"
                 )

keras/layers/reshaping/cropping3d_test.py

@@ -190,7 +190,7 @@ def test_cropping_3d_with_excessive_cropping(self, cropping, data_format):
             input_layer = layers.Input(batch_shape=shape)
 
         expected_error_msg = (
-            "Values in `cropping` argument should be greater than the"
+            "Values in `cropping` argument should be smaller than the"
         )
 
         with self.assertRaisesRegex(ValueError, expected_error_msg):