def permute_dimensions(x, pattern=None): logger.debug('permute_dimensions(x: {}, pattern: {})'.format(x, pattern)) return _KerasNode('permute_dimensions', tensor=plaidml_op.transpose(x.tensor, pattern))
def transpose(x): return _KerasNode('transpose', tensor=plaidml_op.transpose(x.tensor))
def transpose(x): logger.debug('transpose(x: {})'.format(x)) return _KerasNode('transpose', tensor=plaidml_op.transpose(x.tensor))
def permute_dimensions(x, pattern=None): return _KerasNode('permute_dimensions', tensor=plaidml_op.transpose(x.tensor, pattern))