Creates a tensor with all elements set to zero.

# Aliases:

• tf.compat.v1.zeros
• tf.compat.v2.zeros

 tf.zeros(
    shape,
    dtype=tf.dtypes.float32,
    name=None
)

# Used in the guide:

• Betterperformancewith tf.function and AutoGraph
• Migrate yourTensorFlow 1 codeto TensorFlow2``
• The Keras functionalAPIin TensorFlow``
• Trainingcheckpoints``
• Writing customlayers and modelswith Keras

# Used in the tutorials:

• Betterperformancewith tf.function
• Customlayers
• Customtraining withtf.distribute.Strategy
• Customtraining:basics
• Image captioningwith visualattention``
• Neuralmachinetranslationwith attention This operation returns a tensor of type dtype with shape shape and all elements set to zero.

# For example:

 tf.zeros([3, 4], tf.int32)  # [[0, 0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0]]

# Args:

• shape: A list of integers, a tuple of integers, or a 1-D Tensor of type int32.
• dtype: The type of an element in the resulting Tensor.
• name: A name for the operation (optional).

# Returns:

A Tensor with all elements set to zero.