tf.raw_ops.XlaSparseDenseMatmulCustomCombinerOnTcGradWithAdagradMomentumAndCsrInput

row_pointers A Tensor of type int32.
sorted_sample_ids A Tensor of type int32.
sorted_token_ids A Tensor of type int32.
sorted_pos_ids A Tensor of type int32.
sorted_gains A Tensor of type float32.
weights A Tensor of type float32.
preserved_valencies A Tensor of type int32.
preserved_vectors A Tensor of type float32.
preserved_weights A Tensor of type float32.
activation_gradients A Tensor of type float32.
learning_rate A Tensor of type float32.
combiner_weights_learning_rate A Tensor of type float32.
embedding_table A Tensor of type float32.
accumulator A Tensor of type float32.
momenta A Tensor of type float32.
use_nesterov A bool.
exponent A float.
beta1 A float.
beta2 A float.
epsilon A float.
max_valency An int that is >= 0.
num_weights An int that is >= 0.
combiner_table_vjp_computation A function decorated with @Defun.
combiner_weights_vjp_computation A function decorated with @Defun.
table_name A string.
clip_weight_min An optional float. Defaults to float('-inf').
clip_weight_max An optional float. Defaults to float('inf').
num_sparsecores_per_device An optional int. Defaults to -1.
name A name for the operation (optional).

A tuple of Tensor objects (updated_embedding_table, updated_accumulator, updated_momenta, updated_weights).
updated_embedding_table A Tensor of type float32.
updated_accumulator A Tensor of type float32.
updated_momenta A Tensor of type float32.
updated_weights A Tensor of type float32.