def map_gather(params, indices, **kwargs):
return maybe_ragged_lambda_call(_map_gather, [params, indices],
arguments=kwargs)
def apply_row_offset(indices, offset):
return maybe_ragged_lambda_call(_apply_row_offset, [indices, offset])
def reduce_sum(tensor, axis=None, keepdims=False):
return maybe_ragged_lambda_call(tf.reduce_sum,
tensor,
arguments=dict(axis=axis,
keepdims=keepdims))
def get_row_offsets(tensor, dtype=tf.int64):
return maybe_ragged_lambda_call(_utils.get_row_offsets,
tensor,
arguments=dict(dtype=dtype))
def outer(node_features, edge_features):
return maybe_ragged_lambda_call(_utils.outer,
[node_features, edge_features])
def reshape_final_dim(tensor, final_dims):
return maybe_ragged_lambda_call(_utils.reshape_final_dim,
tensor,
arguments=dict(final_dims=final_dims))
def flatten_leading_dims(tensor, n=2):
return maybe_ragged_lambda_call(_utils.flatten_leading_dims,
tensor,
arguments=dict(n=n))
