Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).
WARNING:tensorflow:From /home/victor/miniconda3/envs/tf/lib/python3.9/site-packages/tensorflow/python/autograph/pyct/static_analysis/liveness.py:83: Analyzer.lamba_check (from tensorflow.python.autograph.pyct.static_analysis.liveness) is deprecated and will be removed after 2023-09-23.
Instructions for updating:
Lambda fuctions will be no more assumed to be used in the statement where they are used, or at least in the same block. https://github.com/tensorflow/tensorflow/issues/56089
Epoch 1/20
WARNING:tensorflow:Model was constructed with shape (None, 256, 256, 1) for input KerasTensor(type_spec=TensorSpec(shape=(None, 256, 256, 1), dtype=tf.float32, name='conv2d_input'), name='conv2d_input', description="created by layer 'conv2d_input'"), but it was called on an input with incompatible shape (None, 256, 256, 3).
Traceback (most recent call last):
  File "/home/victor/PycharmProjects/tensorflow/Image Classification/Deep Clone.py", line 98, in <module>
    hist = model.fit(train, epochs=20, validation_data=val, callbacks=[tensorboard_callback])
  File "/home/victor/miniconda3/envs/tf/lib/python3.9/site-packages/keras/utils/traceback_utils.py", line 70, in error_handler
    raise e.with_traceback(filtered_tb) from None
  File "/tmp/__autograph_generated_filezvz0tp_3.py", line 15, in tf__train_function
    retval_ = ag__.converted_call(ag__.ld(step_function), (ag__.ld(self), ag__.ld(iterator)), None, fscope)
ValueError: in user code:

    File "/home/victor/miniconda3/envs/tf/lib/python3.9/site-packages/keras/engine/training.py", line 1249, in train_function  *
        return step_function(self, iterator)
    File "/home/victor/miniconda3/envs/tf/lib/python3.9/site-packages/keras/engine/training.py", line 1233, in step_function  **
        outputs = model.distribute_strategy.run(run_step, args=(data,))
    File "/home/victor/miniconda3/envs/tf/lib/python3.9/site-packages/keras/engine/training.py", line 1222, in run_step  **
        outputs = model.train_step(data)
    File "/home/victor/miniconda3/envs/tf/lib/python3.9/site-packages/keras/engine/training.py", line 1023, in train_step
        y_pred = self(x, training=True)
    File "/home/victor/miniconda3/envs/tf/lib/python3.9/site-packages/keras/utils/traceback_utils.py", line 70, in error_handler
        raise e.with_traceback(filtered_tb) from None
    File "/home/victor/miniconda3/envs/tf/lib/python3.9/site-packages/keras/engine/input_spec.py", line 277, in assert_input_compatibility
        raise ValueError(

    ValueError: Exception encountered when calling layer 'sequential' (type Sequential).

    Input 0 of layer "conv2d" is incompatible with the layer: expected axis -1 of input shape to have value 1, but received input with shape (None, 256, 256, 3)

    Call arguments received by layer 'sequential' (type Sequential):
      • inputs=tf.Tensor(shape=(None, 256, 256, 3), dtype=float32)
      • training=True
      • mask=None


Process finished with exit code 1