tf.raw_ops.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput

tf.raw_ops.XlaSparseDenseMatmulGradWithAdagradMomentumAndCsrInput(
    row_pointers,
    sorted_sample_ids,
    sorted_token_ids,
    sorted_gains,
    activation_gradients,
    learning_rate,
    embedding_table,
    accumulator,
    momenta,
    num_minibatches_per_physical_sparse_core,
    use_nesterov,
    exponent,
    beta1,
    beta2,
    epsilon,
    table_name,
    clip_weight_min=float('-inf'),
    clip_weight_max=float('inf'),
    name=None
)

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. 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. num_minibatches_per_physical_sparse_core A Tensor of type int32. use_nesterov A bool. exponent A float. beta1 A float. beta2 A float. epsilon A float. table_name A string. clip_weight_min An optional float. Defaults to float('-inf'). clip_weight_max An optional float. Defaults to float('inf'). name A name for the operation (optional).