tf.raw_ops.GatherV2  |  TensorFlow v2.16.1 (original) (raw)

tf.raw_ops.GatherV2

Stay organized with collections Save and categorize content based on your preferences.

Gather slices from params axis axis according to indices.

View aliases

Compat aliases for migration

SeeMigration guide for more details.

tf.compat.v1.raw_ops.GatherV2

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 rankaxis + 1.
indices A Tensor. Must be one of the following types: int16, 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.