tf.compat.v1.truncated_normal

Group tensors together.

tf.compat.v1.tuple(
    tensors, name=None, control_inputs=None
)

This creates a tuple of tensors with the same values as the tensors argument, except that the value of each tensor is only returned after the values of all tensors have been computed.

control_inputs contains additional ops that have to finish before this op finishes, but whose outputs are not returned.

This can be used as a "join" mechanism for parallel computations: all the argument tensors can be computed in parallel, but the values of any tensor returned by tuple are only available after all the parallel computations are done.

Args
`tensors`	A list of `Tensor`s or `IndexedSlices`, some entries can be `None`.
`name`	(optional) A name to use as a `name_scope` for the operation.
`control_inputs`	List of additional ops to finish before returning.

Returns
Same as `tensors`.

Raises
`ValueError`	If `tensors` does not contain any `Tensor` or `IndexedSlices`.
`TypeError`	If `control_inputs` is not a list of `Operation` or `Tensor` objects.

TensorFlow

tf.compat / v1 / v1.truncated_normal_initializer

Args

Returns

Raises

TensorFlow

tf

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tf.compat / v1 / v1.truncated_normal_initializer

Args

Returns

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