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tensorflow::
ops::
TensorArrayGradWithShape
#include <data_flow_ops.h>
Creates a
TensorArray
for storing multiple gradients of values in the given handle.
Summary
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:
-
scope: A
Scope
object
-
handle: The handle to the forward
TensorArray
.
-
flow_in: A float scalar that enforces proper chaining of operations.
-
shape_to_prepend: 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: The gradient source string, used to decide which gradient
TensorArray
to return.
Returns:
Public attributes
Public functions
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Last updated 2021-05-14 UTC.
[null,null,["Last updated 2021-05-14 UTC."],[],[],null,["# tensorflow::ops::TensorArrayGradWithShape Class Reference\n\ntensorflow::\nops::\nTensorArrayGradWithShape\n===========================================\n\n`\n#include \u003cdata_flow_ops.h\u003e\n`\n\n\nCreates a\n[TensorArray](/versions/r2.5/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array)\nfor storing multiple gradients of values in the given handle.\n\nSummary\n-------\n\n\nSimilar to TensorArrayGradV3. However it creates an accumulator with an expanded shape compared to the input\n[TensorArray](/versions/r2.5/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array)\nwhose gradient is being computed. This enables multiple gradients for the same\n[TensorArray](/versions/r2.5/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array)\nto be calculated using the same accumulator.\n\n\nArgs:\n\n- scope: A [Scope](/versions/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- handle: The handle to the forward [TensorArray](/versions/r2.5/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array) .\n- flow_in: A float scalar that enforces proper chaining of operations.\n- shape_to_prepend: 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](/versions/r2.5/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array) corresponding to the input handle.\n- source: The gradient source string, used to decide which gradient [TensorArray](/versions/r2.5/api_docs/cc/class/tensorflow/ops/tensor-array#classtensorflow_1_1ops_1_1_tensor_array) to return.\n\n\u003cbr /\u003e\n\n\nReturns:\n\n- `\n `[Output](/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output)`\n ` grad_handle\n- `\n `[Output](/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output)`\n ` flow_out\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| ` `[TensorArrayGradWithShape](#classtensorflow_1_1ops_1_1_tensor_array_grad_with_shape_1ae957f3234c62f254b88ced73dd452371)` (const :: `[tensorflow::Scope](/versions/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` handle, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` flow_in, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` shape_to_prepend, StringPiece source) ` ||\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------|\n| ` `[flow_out](#classtensorflow_1_1ops_1_1_tensor_array_grad_with_shape_1a7e66bafef678a0c4a661598e8d61c4a3)` ` | ` :: `[tensorflow::Output](/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output)` ` |\n| ` `[grad_handle](#classtensorflow_1_1ops_1_1_tensor_array_grad_with_shape_1a732338604dc6b1ce0db860e97a5df6ec)` ` | ` :: `[tensorflow::Output](/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output)` ` |\n| ` `[operation](#classtensorflow_1_1ops_1_1_tensor_array_grad_with_shape_1a0430f64eabb7fa21eac6b06e3e01ec04)` ` | ` `[Operation](/versions/r2.5/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)` ` |\n\nPublic attributes\n-----------------\n\n### flow_out\n\n```scdoc\n::tensorflow::Output flow_out\n``` \n\n### grad_handle\n\n```scdoc\n::tensorflow::Output grad_handle\n``` \n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### TensorArrayGradWithShape\n\n```gdscript\n TensorArrayGradWithShape(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input handle,\n ::tensorflow::Input flow_in,\n ::tensorflow::Input shape_to_prepend,\n StringPiece source\n)\n```"]]
