tf.raw_ops.XlaSparseDenseMatmulGradWithCsrInput
Stay organized with collections
Save and categorize content based on your preferences.
tf.raw_ops.XlaSparseDenseMatmulGradWithCsrInput(
row_pointers,
sorted_sample_ids,
sorted_token_ids,
sorted_gains,
activation_gradients,
tables,
hyperparameters,
num_minibatches_per_physical_sparse_core,
custom_computation,
table_name,
num_sparsecores_per_device=-1,
name=None
)
Args |
|---|
row_pointers
|
A Tensor of type int32.
|
sorted_sample_ids
|
A Tensor of type int32.
|
sorted_token_ids
|
A Tensor of type int32.
|
sorted_gains
|
A Tensor of type float32.
|
activation_gradients
|
A Tensor of type float32.
|
tables
|
A list of at least 1 Tensor objects with the same type in: int32, float32.
|
hyperparameters
|
A list of at least 1 Tensor objects with type float32.
|
num_minibatches_per_physical_sparse_core
|
A Tensor of type int32.
|
custom_computation
|
A function decorated with @Defun.
|
table_name
|
A string.
|
num_sparsecores_per_device
|
An optional int. Defaults to -1.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
A list with the same length as tables of Tensor objects with the same type as tables.
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2026-10-31 UTC.
[null,null,["Last updated 2026-10-31 UTC."],[],[]]
