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Tensorflow::ops::scatterupdate Class Reference

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Applies sparse updates to individual values or slices in a Variable. tf.compat.v1.scatter_nd_update(ref, indices, updates, use_locking=True, name=None)

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tf.compat.v1.scatter_nd_update | TensorFlow v2.16.1 Applies sparse updates to a variable reference.

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TensorScatterUpdate | Java Update inputs via updates at scattered (sparse) indices. At a high level, this operation does inputs[indices] = updates . Assume inputs is a tensor of shape (D umum.

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Scatter_nd doc not clear about concurrent updates #8102 12 Feb 2022 — Scatter updates into an existing tensor according to indices. This operation creates a new tensor by applying sparse updates to the passed in tensor.

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tf.compat.v1.scatter_nd_update | TensorFlow v2.16.1 15 Nov 2021 — This operation outputs ref after the update is done. This makes it easier to chain operations that need to use the reset value.

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Tensorflow::ops::scatterupdate Class Reference

Applies sparse updates to individual values or slices in a Variable. tf.compat.v1.scatter_nd_update(ref, indices, updates, use_locking=True, name=None)

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    tf.scatter_nd sums updates if indices are duplicated #32235 5 Mar 2017 — The doc on the scatter_nd does not specify the consequence of multiple updates that reference the same location. I've tested this using the paling keren.

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    Scatter_nd doc not clear about concurrent updates #8102 12 Feb 2022 — Scatter updates into an existing tensor according to indices. This operation creates a new tensor by applying sparse updates to the passed in tensor.