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tf.raw_ops.GatherV2
Gather slices from params axis axis according to indices.
tf.raw_ops.GatherV2(
    params, indices, axis, batch_dims=0, name=None
)
  indices must be an integer tensor of any dimension (usually 0-D or 1-D). Produces an output tensor with shape params.shape[:axis] + indices.shape[batch_dims:] + params.shape[axis + 1:] where:
# Scalar indices (output is rank(params) - 1).
output[a_0, ..., a_n, b_0, ..., b_n] =
  params[a_0, ..., a_n, indices, b_0, ..., b_n]
# Vector indices (output is rank(params)).
output[a_0, ..., a_n, i, b_0, ..., b_n] =
  params[a_0, ..., a_n, indices[i], b_0, ..., b_n]
# Higher rank indices (output is rank(params) + rank(indices) - 1).
output[a_0, ..., a_n, i, ..., j, b_0, ... b_n] =
  params[a_0, ..., a_n, indices[i, ..., j], b_0, ..., b_n]
  Note that on CPU, if an out of bound index is found, an error is returned. On GPU, if an out of bound index is found, a 0 is stored in the corresponding output value.
See also tf.batch_gather and tf.gather_nd.
| Args | |
|---|---|
params | 
      A Tensor. The tensor from which to gather values. Must be at least rank axis + 1. | 
     
indices | 
      A Tensor. Must be one of the following types: int32, int64. Index tensor. Must be in range [0, params.shape[axis]). | 
     
axis | 
      A Tensor. Must be one of the following types: int32, int64. The axis in params to gather indices from. Defaults to the first dimension. Supports negative indexes. | 
     
batch_dims | 
      An optional int. Defaults to 0. | 
     
name | 
      A name for the operation (optional). | 
| Returns | |
|---|---|
A Tensor. Has the same type as params. | 
     
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
 https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/raw_ops/GatherV2