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tensorflow::
ops::
SparseFillEmptyRowsGrad
#include <sparse_ops.h>
The gradient of
SparseFillEmptyRows
.
Summary
Takes vectors reverse_index_map, shaped
[N]
, and grad_values, shaped
[N_full]
, where
N_full >= N
and copies data into either
d_values
or
d_default_value
. Here
d_values
is shaped
[N]
and
d_default_value
is a scalar.
d_values[j] = grad_values[reverse_index_map[j]] d_default_value = sum_{k : 0 .. N_full - 1} ( grad_values[k] * 1{k not in reverse_index_map})
Args:
-
scope: A
Scope
object
-
reverse_index_map: 1-D. The reverse index map from
SparseFillEmptyRows
.
-
grad_values: 1-D. The gradients from backprop.
Returns:
-
Output
d_values: 1-D. The backprop into values.
-
Output
d_default_value: 0-D. The backprop into default_value.
Public attributes
Public functions
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Last updated 2021-08-16 UTC.
[null,null,["Last updated 2021-08-16 UTC."],[],[],null,["# tensorflow::ops::SparseFillEmptyRowsGrad Class Reference\n\ntensorflow::\nops::\nSparseFillEmptyRowsGrad\n==========================================\n\n`\n#include \u003csparse_ops.h\u003e\n`\n\n\nThe gradient of\n[SparseFillEmptyRows](/versions/r2.6/api_docs/cc/class/tensorflow/ops/sparse-fill-empty-rows#classtensorflow_1_1ops_1_1_sparse_fill_empty_rows)\n.\n\nSummary\n-------\n\n\nTakes vectors reverse_index_map, shaped\n`\n[N]\n`\n, and grad_values, shaped\n`\n[N_full]\n`\n, where\n`\nN_full \u003e= N\n`\nand copies data into either\n`\nd_values\n`\nor\n`\nd_default_value\n`\n. Here\n`\nd_values\n`\nis shaped\n`\n[N]\n`\nand\n`\nd_default_value\n`\nis a scalar.\n\n\nd_values\\[j\\] = grad_values\\[reverse_index_map\\[j\\]\\] d_default_value = sum_{k : 0 .. N_full - 1} ( grad_values\\[k\\] \\* 1{k not in reverse_index_map})\n\n\nArgs:\n\n- scope: A [Scope](/versions/r2.6/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- reverse_index_map: 1-D. The reverse index map from [SparseFillEmptyRows](/versions/r2.6/api_docs/cc/class/tensorflow/ops/sparse-fill-empty-rows#classtensorflow_1_1ops_1_1_sparse_fill_empty_rows) .\n- grad_values: 1-D. The gradients from backprop.\n\n\u003cbr /\u003e\n\n\nReturns:\n\n- `\n `[Output](/versions/r2.6/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output)`\n ` d_values: 1-D. The backprop into values.\n- `\n `[Output](/versions/r2.6/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output)`\n ` d_default_value: 0-D. The backprop into default_value.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| ` `[SparseFillEmptyRowsGrad](#classtensorflow_1_1ops_1_1_sparse_fill_empty_rows_grad_1ada5dd8406dc685e9cef6fb62d22ef08a)` (const :: `[tensorflow::Scope](/versions/r2.6/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` reverse_index_map, :: `[tensorflow::Input](/versions/r2.6/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad_values) ` ||\n\n| ### Public attributes ||\n|---------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------|\n| ` `[d_default_value](#classtensorflow_1_1ops_1_1_sparse_fill_empty_rows_grad_1a390e699bba2fa2de13aa830fa180150b)` ` | ` :: `[tensorflow::Output](/versions/r2.6/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output)` ` |\n| ` `[d_values](#classtensorflow_1_1ops_1_1_sparse_fill_empty_rows_grad_1a13ae288ea1b435bc21beaf155bb49a66)` ` | ` :: `[tensorflow::Output](/versions/r2.6/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output)` ` |\n| ` `[operation](#classtensorflow_1_1ops_1_1_sparse_fill_empty_rows_grad_1a5d59df27d9ed5efa484e261d96d2fb65)` ` | ` `[Operation](/versions/r2.6/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)` ` |\n\nPublic attributes\n-----------------\n\n### d_default_value\n\n```scdoc\n::tensorflow::Output d_default_value\n``` \n\n### d_values\n\n```scdoc\n::tensorflow::Output d_values\n``` \n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### SparseFillEmptyRowsGrad\n\n```gdscript\n SparseFillEmptyRowsGrad(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input reverse_index_map,\n ::tensorflow::Input grad_values\n)\n```"]]
