tf.raw_ops.TensorArrayGradWithShape

Creates a TensorArray for storing multiple gradients of values in the given handle.

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Compat aliases for migration

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tf.compat.v1.raw_ops.TensorArrayGradWithShape

tf.raw_ops.TensorArrayGradWithShape(
    handle, flow_in, shape_to_prepend, source, name=None
)

Similar to TensorArrayGradV3. However it creates an accumulator with an expanded shape compared to the input TensorArray whose gradient is being computed. This enables multiple gradients for the same TensorArray to be calculated using the same accumulator.

Args
handle	A Tensor of type resource. The handle to the forward TensorArray.
flow_in	A Tensor of type float32. A float scalar that enforces proper chaining of operations.
shape_to_prepend	A Tensor of type int32. An int32 vector representing a shape. Elements in the gradient accumulator will have shape which is this shape_to_prepend value concatenated with shape of the elements in the TensorArray corresponding to the input handle.
source	A string. The gradient source string, used to decide which gradient TensorArray to return.
name	A name for the operation (optional).

Returns
A tuple of Tensor objects (grad_handle, flow_out).
grad_handle	A Tensor of type resource.
flow_out	A Tensor of type float32.