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tensorflow::ops::SparseFillEmptyRows
#include <sparse_ops.h>
Fills empty rows in the input 2-D SparseTensor with a default value.
Summary
The input SparseTensor is represented via the tuple of inputs (indices, values, dense_shape). The output SparseTensor has the same dense_shape but with indices output_indices and values output_values.
This op inserts a single entry for every row that doesn't have any values. The index is created as [row, 0, ..., 0] and the inserted value is default_value.
For example, suppose sp_input has shape [5, 6] and non-empty values:
[0, 1]: a
[0, 3]: b
[2, 0]: c
[3, 1]: d
Rows 1 and 4 are empty, so the output will be of shape [5, 6] with values:
[0, 1]: a
[0, 3]: b
[1, 0]: default_value
[2, 0]: c
[3, 1]: d
[4, 0]: default_value
The output SparseTensor will be in row-major order and will have the same shape as the input.
This op also returns an indicator vector shaped [dense_shape[0]] such that
empty_row_indicator[i] = True iff row i was an empty row.
And a reverse index map vector shaped [indices.shape[0]] that is used during backpropagation,
reverse_index_map[j] = out_j s.t. indices[j, :] == output_indices[out_j, :]
Args:
- scope: A Scope object
- indices: 2-D. the indices of the sparse tensor.
- values: 1-D. the values of the sparse tensor.
- dense_shape: 1-D. the shape of the sparse tensor.
- default_value: 0-D. default value to insert into location
[row, 0, ..., 0] for rows missing from the input sparse tensor. output indices: 2-D. the indices of the filled sparse tensor.
Returns:
Output output_indicesOutput output_values: 1-D. the values of the filled sparse tensor.Output empty_row_indicator: 1-D. whether the dense row was missing in the input sparse tensor.Output reverse_index_map: 1-D. a map from the input indices to the output indices.
Public attributes
Public functions
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tensorflow::ops::SparseFillEmptyRows Class Reference\n\ntensorflow::ops::SparseFillEmptyRows\n====================================\n\n`#include \u003csparse_ops.h\u003e`\n\nFills empty rows in the input 2-D `SparseTensor` with a default value.\n\nSummary\n-------\n\nThe input `SparseTensor` is represented via the tuple of inputs (`indices`, `values`, `dense_shape`). The output `SparseTensor` has the same `dense_shape` but with indices `output_indices` and values `output_values`.\n\nThis op inserts a single entry for every row that doesn't have any values. The index is created as `[row, 0, ..., 0]` and the inserted value is `default_value`.\n\nFor example, suppose `sp_input` has shape `[5, 6]` and non-empty values: \n\n```text\n[0, 1]: a\n[0, 3]: b\n[2, 0]: c\n[3, 1]: d\n```\n\n\u003cbr /\u003e\n\nRows 1 and 4 are empty, so the output will be of shape `[5, 6]` with values: \n\n```scdoc\n[0, 1]: a\n[0, 3]: b\n[1, 0]: default_value\n[2, 0]: c\n[3, 1]: d\n[4, 0]: default_value\n```\n\n\u003cbr /\u003e\n\nThe output `SparseTensor` will be in row-major order and will have the same shape as the input.\n\nThis op also returns an indicator vector shaped `[dense_shape[0]]` such that \n\n```transact-sql\nempty_row_indicator[i] = True iff row i was an empty row.\n```\n\n\u003cbr /\u003e\n\nAnd a reverse index map vector shaped `[indices.shape[0]]` that is used during backpropagation, \n\n```transact-sql\nreverse_index_map[j] = out_j s.t. indices[j, :] == output_indices[out_j, :]\n```\n\n\u003cbr /\u003e\n\nArgs:\n\n- scope: A [Scope](/versions/r2.14/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- indices: 2-D. the indices of the sparse tensor.\n- values: 1-D. the values of the sparse tensor.\n- dense_shape: 1-D. the shape of the sparse tensor.\n- default_value: 0-D. default value to insert into location `[row, 0, ..., 0]` for rows missing from the input sparse tensor. output indices: 2-D. the indices of the filled sparse tensor.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.14/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) output_indices\n- [Output](/versions/r2.14/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) output_values: 1-D. the values of the filled sparse tensor.\n- [Output](/versions/r2.14/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) empty_row_indicator: 1-D. whether the dense row was missing in the input sparse tensor.\n- [Output](/versions/r2.14/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) reverse_index_map: 1-D. a map from the input indices to the output indices.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [SparseFillEmptyRows](#classtensorflow_1_1ops_1_1_sparse_fill_empty_rows_1a879e72f00ec2907ae24319568619e724)`(const ::`[tensorflow::Scope](/versions/r2.14/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` indices, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` values, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` dense_shape, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` default_value)` ||\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [empty_row_indicator](#classtensorflow_1_1ops_1_1_sparse_fill_empty_rows_1adb1b94f12679619031e52393d4dde736) | `::`[tensorflow::Output](/versions/r2.14/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_sparse_fill_empty_rows_1a904fc23a9366dfb3edb6e9ce97f51176) | [Operation](/versions/r2.14/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output_indices](#classtensorflow_1_1ops_1_1_sparse_fill_empty_rows_1a2e77eb808d738a81625bc66d14e269c2) | `::`[tensorflow::Output](/versions/r2.14/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [output_values](#classtensorflow_1_1ops_1_1_sparse_fill_empty_rows_1a050f6a03931adf4b1fe9fe0933537d4f) | `::`[tensorflow::Output](/versions/r2.14/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [reverse_index_map](#classtensorflow_1_1ops_1_1_sparse_fill_empty_rows_1af0519edc8137614dd36f96f10ed6e4ef) | `::`[tensorflow::Output](/versions/r2.14/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\nPublic attributes\n-----------------\n\n### empty_row_indicator\n\n```scdoc\n::tensorflow::Output empty_row_indicator\n``` \n\n### operation\n\n```text\nOperation operation\n``` \n\n### output_indices\n\n```scdoc\n::tensorflow::Output output_indices\n``` \n\n### output_values\n\n```scdoc\n::tensorflow::Output output_values\n``` \n\n### reverse_index_map\n\n```scdoc\n::tensorflow::Output reverse_index_map\n``` \n\nPublic functions\n----------------\n\n### SparseFillEmptyRows\n\n```gdscript\n SparseFillEmptyRows(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input indices,\n ::tensorflow::Input values,\n ::tensorflow::Input dense_shape,\n ::tensorflow::Input default_value\n)\n```"]]
