tf.raw_ops.ResourceGather
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Gather slices from the variable pointed to by resource according to indices.
View aliases
Compat aliases for migration
See
Migration guide for
more details.
tf.compat.v1.raw_ops.ResourceGather
tf.raw_ops.ResourceGather(
resource, indices, dtype, batch_dims=0, validate_indices=True, name=None
)
indices must be an integer tensor of any dimension (usually 0-D or 1-D).
Produces an output tensor with shape indices.shape + params.shape[1:] where:
# Scalar indices
output[:, ..., :] = params[indices, :, ... :]
# Vector indices
output[i, :, ..., :] = params[indices[i], :, ... :]
# Higher rank indices
output[i, ..., j, :, ... :] = params[indices[i, ..., j], :, ..., :]
Args |
|---|
resource
|
A Tensor of type resource.
|
indices
|
A Tensor. Must be one of the following types: int32, int64.
|
dtype
|
A tf.DType.
|
batch_dims
|
An optional int. Defaults to 0.
|
validate_indices
|
An optional bool. Defaults to True.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A Tensor of type dtype.
|
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Last updated 2024-04-26 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[],null,["# tf.raw_ops.ResourceGather\n\n\u003cbr /\u003e\n\nGather slices from the variable pointed to by `resource` according to `indices`.\n\n#### View aliases\n\n\n**Compat aliases for migration**\n\nSee\n[Migration guide](https://www.tensorflow.org/guide/migrate) for\nmore details.\n\n[`tf.compat.v1.raw_ops.ResourceGather`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/ResourceGather)\n\n\u003cbr /\u003e\n\n tf.raw_ops.ResourceGather(\n resource, indices, dtype, batch_dims=0, validate_indices=True, name=None\n )\n\n`indices` must be an integer tensor of any dimension (usually 0-D or 1-D).\nProduces an output tensor with shape `indices.shape + params.shape[1:]` where: \n\n # Scalar indices\n output[:, ..., :] = params[indices, :, ... :]\n\n # Vector indices\n output[i, :, ..., :] = params[indices[i], :, ... :]\n\n # Higher rank indices\n output[i, ..., j, :, ... :] = params[indices[i, ..., j], :, ..., :]\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|--------------------|-------------------------------------------------------------------|\n| `resource` | A `Tensor` of type `resource`. |\n| `indices` | A `Tensor`. Must be one of the following types: `int32`, `int64`. |\n| `dtype` | A [`tf.DType`](../../tf/dtypes/DType). |\n| `batch_dims` | An optional `int`. Defaults to `0`. |\n| `validate_indices` | An optional `bool`. Defaults to `True`. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A `Tensor` of type `dtype`. ||\n\n\u003cbr /\u003e"]]
