[Python] TypeError: Expected float32, but got auto of type 'str'. Tensorflow error , tell me...

Discussão em 'Python' iniciado por Stack, Setembro 11, 2024.

  1. Stack

    Stack Membro Participativo

    I got TypeError: Expected float32, but got auto of type 'str'. error while fitting the sequential model. I checked my inputs both are numpy.ndarray.

    type(xtrain),type(ytrain)
    (numpy.ndarray, numpy.ndarray)

    model = tf.keras.Sequential()

    model.add(tf.keras.layers.Flatten(input_shape = (28,28)))
    model.add(tf.keras.layers.Dense(32,activation='relu'))
    model.add(tf.keras.layers.Dense(32,activation='relu'))
    model.add(tf.keras.layers.Dense(10,activation=tf.keras.activations.softmax))

    model.compile(loss = tf.keras.losses.SparseCategoricalCrossentropy,optimizer =
    tf.keras.optimizers.Adam(learning_rate=.0001),metrics = ['accuracy'])

    model.fit(x =xtrain,y = ytrain,epochs=100)


    ---------------------------------------------------------------------------
    TypeError Traceback (most recent call last)
    <ipython-input-13-6e8068384c20> in <module>()
    ----> 1 model.fit(x =xtrain,y = ytrain,epochs=100)

    1 frames
    /usr/local/lib/python3.7/dist-packages/tensorflow/python/framework/func_graph.py in autograph_handler(*args, **kwargs)
    1127 except Exception as e: # pylint:disable=broad-except
    1128 if hasattr(e, "ag_error_metadata"):
    -> 1129 raise e.ag_error_metadata.to_exception(e)
    1130 else:
    1131 raise

    TypeError: in user code:

    File "/usr/local/lib/python3.7/dist-packages/keras/engine/training.py", line 878, in train_function *
    return step_function(self, iterator)
    File "/usr/local/lib/python3.7/dist-packages/keras/engine/training.py", line 867, in step_function **
    outputs = model.distribute_strategy.run(run_step, args=(data,))
    File "/usr/local/lib/python3.7/dist-packages/keras/engine/training.py", line 860, in run_step **
    outputs = model.train_step(data)
    File "/usr/local/lib/python3.7/dist-packages/keras/engine/training.py", line 810, in train_step
    y, y_pred, sample_weight, regularization_losses=self.losses)
    File "/usr/local/lib/python3.7/dist-packages/keras/engine/compile_utils.py", line 201, in __call__
    loss_value = loss_obj(y_t, y_p, sample_weight=sw)
    File "/usr/local/lib/python3.7/dist-packages/keras/losses.py", line 141, in __call__
    losses = call_fn(y_true, y_pred)
    File "/usr/local/lib/python3.7/dist-packages/keras/losses.py", line 245, in call **
    return ag_fn(y_true, y_pred, **self._fn_kwargs)
    File "/usr/local/lib/python3.7/dist-packages/keras/losses.py", line 752, in __init__ **
    from_logits=from_logits)
    File "/usr/local/lib/python3.7/dist-packages/keras/losses.py", line 227, in __init__
    super().__init__(reduction=reduction, name=name)
    File "/usr/local/lib/python3.7/dist-packages/keras/losses.py", line 88, in __init__
    losses_utils.ReductionV2.validate(reduction)
    File "/usr/local/lib/python3.7/dist-packages/keras/utils/losses_utils.py", line 82, in validate
    if key not in cls.all():

    TypeError: Expected float32, but got auto of type 'str'.

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