tf.raw_ops.RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug
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Retrieve Adadelta embedding parameters with debug support.
tf.raw_ops.RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug(
num_shards, shard_id, table_id=-1, table_name='', config='',
name=None
)
An op that retrieves optimization parameters from embedding to host
memory. Must be preceded by a ConfigureTPUEmbeddingHost op that sets up
the correct embedding table configuration. For example, this op is
used to retrieve updated parameters before saving a checkpoint.
Args |
|---|
num_shards
|
An int.
|
shard_id
|
An int.
|
table_id
|
An optional int. Defaults to -1.
|
table_name
|
An optional string. Defaults to "".
|
config
|
An optional string. Defaults to "".
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A tuple of Tensor objects (parameters, accumulators, updates, gradient_accumulators).
|
parameters
|
A Tensor of type float32.
|
accumulators
|
A Tensor of type float32.
|
updates
|
A Tensor of type float32.
|
gradient_accumulators
|
A Tensor of type float32.
|
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Last updated 2021-08-16 UTC.
[null,null,["Last updated 2021-08-16 UTC."],[],[],null,["# tf.raw_ops.RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug\n\n\u003cbr /\u003e\n\nRetrieve Adadelta embedding parameters with debug support.\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.RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug`](https://www.tensorflow.org/api_docs/python/tf/raw_ops/RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug)\n\n\u003cbr /\u003e\n\n tf.raw_ops.RetrieveTPUEmbeddingAdadeltaParametersGradAccumDebug(\n num_shards, shard_id, table_id=-1, table_name='', config='',\n name=None\n )\n\nAn op that retrieves optimization parameters from embedding to host\nmemory. Must be preceded by a ConfigureTPUEmbeddingHost op that sets up\nthe correct embedding table configuration. For example, this op is\nused to retrieve updated parameters before saving a checkpoint.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|--------------|-----------------------------------------|\n| `num_shards` | An `int`. |\n| `shard_id` | An `int`. |\n| `table_id` | An optional `int`. Defaults to `-1`. |\n| `table_name` | An optional `string`. Defaults to `\"\"`. |\n| `config` | An optional `string`. Defaults to `\"\"`. |\n| `name` | A name for the operation (optional). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|-------------------------|-------------------------------|\n| A tuple of `Tensor` objects (parameters, accumulators, updates, gradient_accumulators). ||\n| `parameters` | A `Tensor` of type `float32`. |\n| `accumulators` | A `Tensor` of type `float32`. |\n| `updates` | A `Tensor` of type `float32`. |\n| `gradient_accumulators` | A `Tensor` of type `float32`. |\n\n\u003cbr /\u003e"]]
