96 lines
3.9 KiB
Python
96 lines
3.9 KiB
Python
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Operator overloads for `RaggedTensor`."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from tensorflow.python.framework import ops
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from tensorflow.python.ops import math_ops
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from tensorflow.python.ops.ragged import ragged_getitem
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from tensorflow.python.ops.ragged import ragged_tensor
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from tensorflow.python.util import tf_decorator
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def _right(operator):
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"""Right-handed version of an operator: swap args x and y."""
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return tf_decorator.make_decorator(operator, lambda y, x: operator(x, y))
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def ragged_hash(self):
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"""The operation invoked by the `RaggedTensor.__hash__` operator."""
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g = getattr(self.row_splits, "graph", None)
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# pylint: disable=protected-access
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if (ops.Tensor._USE_EQUALITY and ops.executing_eagerly_outside_functions() and
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(g is None or g.building_function)):
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raise TypeError("RaggedTensor is unhashable.")
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else:
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return id(self)
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# Indexing
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ragged_tensor.RaggedTensor.__getitem__ = ragged_getitem.ragged_tensor_getitem
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# Equality
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ragged_tensor.RaggedTensor.__eq__ = math_ops.tensor_equals
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ragged_tensor.RaggedTensor.__ne__ = math_ops.tensor_not_equals
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ragged_tensor.RaggedTensor.__hash__ = ragged_hash
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# Ordering operators
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ragged_tensor.RaggedTensor.__ge__ = math_ops.greater_equal
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ragged_tensor.RaggedTensor.__gt__ = math_ops.greater
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ragged_tensor.RaggedTensor.__le__ = math_ops.less_equal
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ragged_tensor.RaggedTensor.__lt__ = math_ops.less
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# Logical operators
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ragged_tensor.RaggedTensor.__and__ = math_ops.logical_and
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ragged_tensor.RaggedTensor.__rand__ = _right(math_ops.logical_and)
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ragged_tensor.RaggedTensor.__invert__ = math_ops.logical_not
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ragged_tensor.RaggedTensor.__ror__ = _right(math_ops.logical_or)
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ragged_tensor.RaggedTensor.__or__ = math_ops.logical_or
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ragged_tensor.RaggedTensor.__xor__ = math_ops.logical_xor
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ragged_tensor.RaggedTensor.__rxor__ = _right(math_ops.logical_xor)
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# Arithmetic operators
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ragged_tensor.RaggedTensor.__abs__ = math_ops.abs
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ragged_tensor.RaggedTensor.__add__ = math_ops.add
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ragged_tensor.RaggedTensor.__radd__ = _right(math_ops.add)
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ragged_tensor.RaggedTensor.__div__ = math_ops.div
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ragged_tensor.RaggedTensor.__rdiv__ = _right(math_ops.div)
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ragged_tensor.RaggedTensor.__floordiv__ = math_ops.floordiv
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ragged_tensor.RaggedTensor.__rfloordiv__ = _right(math_ops.floordiv)
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ragged_tensor.RaggedTensor.__mod__ = math_ops.floormod
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ragged_tensor.RaggedTensor.__rmod__ = _right(math_ops.floormod)
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ragged_tensor.RaggedTensor.__mul__ = math_ops.multiply
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ragged_tensor.RaggedTensor.__rmul__ = _right(math_ops.multiply)
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ragged_tensor.RaggedTensor.__neg__ = math_ops.negative
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ragged_tensor.RaggedTensor.__pow__ = math_ops.pow
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ragged_tensor.RaggedTensor.__rpow__ = _right(math_ops.pow)
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ragged_tensor.RaggedTensor.__sub__ = math_ops.subtract
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ragged_tensor.RaggedTensor.__rsub__ = _right(math_ops.subtract)
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ragged_tensor.RaggedTensor.__truediv__ = math_ops.truediv
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ragged_tensor.RaggedTensor.__rtruediv__ = _right(math_ops.truediv)
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# Dummy methods
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def _dummy_bool(_):
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"""Dummy method to prevent a RaggedTensor from being used as a Python bool."""
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raise TypeError("RaggedTensor may not be used as a boolean.")
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ragged_tensor.RaggedTensor.__bool__ = _dummy_bool
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ragged_tensor.RaggedTensor.__nonzero__ = _dummy_bool
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