tensorflow:: אופס:: SparseSegmentSqrtNGrad
#include <math_ops.h>מחשב גרדיאנטים עבור SparseSegmentSqrtN .
תַקצִיר
מחזירה טנסור "פלט" עם צורה זהה ל-grad, למעט ממד 0 שהערך שלו הוא output_dim0.
טיעונים:
- scope: אובייקט Scope
- grad: שיפוע מופץ לאופציה SparseSegmentSqrtN .
- מדדים: מדדים שהועברו ל- SparseSegmentSqrtN op.
- segment_ids: segment_ids הועברו ל- SparseSegmentSqrtN המתאים.
- output_dim0: ממד 0 של "נתונים" הועבר ל- SparseSegmentSqrtN op.
החזרות:
-
Output: טנסור הפלט.
בנאים והורסים | |
|---|---|
SparseSegmentSqrtNGrad (const :: tensorflow::Scope & scope, :: tensorflow::Input grad, :: tensorflow::Input indices, :: tensorflow::Input segment_ids, :: tensorflow::Input output_dim0) |
תכונות ציבוריות | |
|---|---|
operation | |
output | |
תפקידים ציבוריים | |
|---|---|
node () const | ::tensorflow::Node * |
operator::tensorflow::Input () const | |
operator::tensorflow::Output () const | |
תכונות ציבוריות
מִבצָע
Operation operation
תְפוּקָה
::tensorflow::Output output
תפקידים ציבוריים
SparseSegmentSqrtNGrad
SparseSegmentSqrtNGrad( const ::tensorflow::Scope & scope, ::tensorflow::Input grad, ::tensorflow::Input indices, ::tensorflow::Input segment_ids, ::tensorflow::Input output_dim0 )
צוֹמֶת
::tensorflow::Node * node() const
מפעיל::tensorflow::קלט
operator::tensorflow::Input() const
אופרטור::tensorflow::פלט
operator::tensorflow::Output() const
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עדכון אחרון: 2025-07-26 (שעון UTC).
[null,null,["עדכון אחרון: 2025-07-26 (שעון UTC)."],[],[],null,["# tensorflow::ops::SparseSegmentSqrtNGrad Class Reference\n\ntensorflow::ops::SparseSegmentSqrtNGrad\n=======================================\n\n`#include \u003cmath_ops.h\u003e`\n\nComputes gradients for [SparseSegmentSqrtN](/versions/r2.0/api_docs/cc/class/tensorflow/ops/sparse-segment-sqrt-n#classtensorflow_1_1ops_1_1_sparse_segment_sqrt_n).\n\nSummary\n-------\n\nReturns tensor \"output\" with same shape as grad, except for dimension 0 whose value is output_dim0.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- grad: gradient propagated to the [SparseSegmentSqrtN](/versions/r2.0/api_docs/cc/class/tensorflow/ops/sparse-segment-sqrt-n#classtensorflow_1_1ops_1_1_sparse_segment_sqrt_n) op.\n- indices: indices passed to the corresponding [SparseSegmentSqrtN](/versions/r2.0/api_docs/cc/class/tensorflow/ops/sparse-segment-sqrt-n#classtensorflow_1_1ops_1_1_sparse_segment_sqrt_n) op.\n- segment_ids: segment_ids passed to the corresponding [SparseSegmentSqrtN](/versions/r2.0/api_docs/cc/class/tensorflow/ops/sparse-segment-sqrt-n#classtensorflow_1_1ops_1_1_sparse_segment_sqrt_n) op.\n- output_dim0: dimension 0 of \"data\" passed to [SparseSegmentSqrtN](/versions/r2.0/api_docs/cc/class/tensorflow/ops/sparse-segment-sqrt-n#classtensorflow_1_1ops_1_1_sparse_segment_sqrt_n) op.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The output tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [SparseSegmentSqrtNGrad](#classtensorflow_1_1ops_1_1_sparse_segment_sqrt_n_grad_1ac363c25609d92a978f2bed20e7158d7d)`(const ::`[tensorflow::Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` segment_ids, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` output_dim0)` ||\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_sparse_segment_sqrt_n_grad_1adc740c2bdbfb85a7cece2be4ba75a241) | [Operation](/versions/r2.0/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_sparse_segment_sqrt_n_grad_1a9526b27520b71dd075562b89d23f6d6b) | `::`[tensorflow::Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|--------------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_sparse_segment_sqrt_n_grad_1a7abd7aef89700566de441da2af17a1cd)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_sparse_segment_sqrt_n_grad_1a6bd942a2caf61e2d8a9cf1be8e20f538)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_sparse_segment_sqrt_n_grad_1a5375b4db84448412e2ff0bf2e7e00afb)`() const ` | ` ` ` ` |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### output\n\n```text\n::tensorflow::Output output\n``` \n\nPublic functions\n----------------\n\n### SparseSegmentSqrtNGrad\n\n```gdscript\n SparseSegmentSqrtNGrad(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input grad,\n ::tensorflow::Input indices,\n ::tensorflow::Input segment_ids,\n ::tensorflow::Input output_dim0\n)\n``` \n\n### node\n\n```gdscript\n::tensorflow::Node * node() const \n``` \n\n### operator::tensorflow::Input\n\n```gdscript\n operator::tensorflow::Input() const \n``` \n\n### operator::tensorflow::Output\n\n```gdscript\n operator::tensorflow::Output() const \n```"]]