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tf.raw_ops.ResourceSparseApplyAdadelta

var: Should be from a Variable().

tf.raw_ops.ResourceSparseApplyAdadelta(
    var, accum, accum_update, lr, rho, epsilon, grad, indices, use_locking=False,
    name=None
)
Args
var
A Tensor of type resource.
accum
A Tensor of type resource. Should be from a Variable().
accum_update
A Tensor of type resource.
Should be from a Variable().
lr A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, complex64, int64, qint8, quint8, qint32, bfloat16, uint16, complex128, half, uint32, uint64. Learning rate. Must be a scalar.
rho A Tensor. Must have the same type as lr. Decay factor. Must be a scalar.
epsilon A Tensor. Must have the same type as lr. Constant factor. Must be a scalar.
grad A Tensor. Must have the same type as lr. The gradient.
indices A Tensor. Must be one of the following types: int32, int64. A vector of indices into the first dimension of var and accum.
use_locking An optional bool. Defaults to False. If True, updating of the var and accum tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
name A name for the operation (optional).
Returns
The created Operation.

© 2020 The TensorFlow Authors. All rights reserved.
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/ResourceSparseApplyAdadelta