When i import the non_local_block in my own keras code, it happens
ValueError: Tried to convert 'shape' to a tensor and failed. Error: None values not supported.
Here is my code review:def init_model():im_n = Input(shape=(None, None, 1))x = Conv2D(64, 3, activation='relu', padding='same')(im_n)x = **non_local_block**(x)resd = Conv2D(1, 3, padding='same')(x)model = Model(inputs=im_n, outputs=resd)model.compile(optimizer=Adam(lr=0.001, beta_1=0.9,beta_2=0.999, epsilon=1e-8),loss='mean_squared_error')return model
Here is the ERROR INFO:Traceback (most recent call last):File "/Users/code/train.py", line 49, in <module>model = init_model()File "/Users/code/train.py", line 35, in init_modelx = non_local_block(x)File "/Users/code/non_local.py", line 136, in non_local_blocky = Reshape((dim1, dim2, intermediate_dim))(y)File "/Users/anaconda3/envs/tf-keras/lib/python3.6/site-packages/keras/engine/base_layer.py", line 457, in __call__output = self.call(inputs, **kwargs)File "/Users/anaconda3/envs/tf-keras/lib/python3.6/site-packages/keras/layers/core.py", line 401, in callreturn K.reshape(inputs, (K.shape(inputs)[0],) + self.target_shape)File "/Users/anaconda3/envs/tf-keras/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 1969, in reshapereturn tf.reshape(x, shape)File "/Users/anaconda3/envs/tf-keras/lib/python3.6/site-packages/tensorflow/python/ops/gen_array_ops.py", line 6482, in reshape"Reshape", tensor=tensor, shape=shape, name=name)File "/Users/anaconda3/envs/tf-keras/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 528, in _apply_op_helper (input_name, err))ValueError: Tried to convert 'shape' to a tensor and failed. Error: None values not supported.
When i import the non_local_block in my own keras code, it happens
ValueError: Tried to convert 'shape' to a tensor and failed. Error: None values not supported.
Here is my code review:
def init_model():
im_n = Input(shape=(None, None, 1))
x = Conv2D(64, 3, activation='relu', padding='same')(im_n)
x = **non_local_block**(x)
resd = Conv2D(1, 3, padding='same')(x)
model = Model(inputs=im_n, outputs=resd)
model.compile(optimizer=Adam(lr=0.001, beta_1=0.9,
beta_2=0.999, epsilon=1e-8),
loss='mean_squared_error')
return model
Here is the ERROR INFO:
Traceback (most recent call last):
File "/Users/code/train.py", line 49, in <module>
model = init_model()
File "/Users/code/train.py", line 35, in init_model
x = non_local_block(x)
File "/Users/code/non_local.py", line 136, in non_local_block
y = Reshape((dim1, dim2, intermediate_dim))(y)
File "/Users/anaconda3/envs/tf-keras/lib/python3.6/site-packages/keras/engine/base_layer.py", line 457, in __call__
output = self.call(inputs, **kwargs)
File "/Users/anaconda3/envs/tf-keras/lib/python3.6/site-packages/keras/layers/core.py", line 401, in call
return K.reshape(inputs, (K.shape(inputs)[0],) + self.target_shape)
File "/Users/anaconda3/envs/tf-keras/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 1969, in reshape
return tf.reshape(x, shape)
File "/Users/anaconda3/envs/tf-keras/lib/python3.6/site-packages/tensorflow/python/ops/gen_array_ops.py", line 6482, in reshape
"Reshape", tensor=tensor, shape=shape, name=name)
File "/Users/anaconda3/envs/tf-keras/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 528, in _apply_op_helper (input_name, err))
ValueError: Tried to convert 'shape' to a tensor and failed. Error: None values not supported.
Thx!!!