73 lines
2.8 KiB
Python
73 lines
2.8 KiB
Python
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# Copyright 2017 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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"""Helpers constructing Datasets."""
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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 constant_op
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from tensorflow.python.framework import dtypes
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from tensorflow.python.framework import ops
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from tensorflow.python.framework import tensor_shape
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def optional_param_to_tensor(argument_name,
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argument_value,
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argument_default=0,
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argument_dtype=dtypes.int64):
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if argument_value is not None:
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return ops.convert_to_tensor(
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argument_value, dtype=argument_dtype, name=argument_name)
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else:
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return constant_op.constant(
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argument_default, dtype=argument_dtype, name=argument_name)
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def partial_shape_to_tensor(shape_like):
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"""Returns a @{tf.Tensor} that represents the given shape.
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Args:
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shape_like: A value that can be converted to a @{tf.TensorShape} or a
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@{tf.Tensor}.
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Returns:
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A 1-D `tf.Tensor` of `tf.int64` elements representing the given shape, where
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`-1` is substituted for any unknown dimensions.
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"""
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try:
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# First attempt to convert the input to a shape, and return the
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# "canonical" tensor representation, which uses `-1` in place of
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# `None`.
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shape_like = tensor_shape.as_shape(shape_like)
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return ops.convert_to_tensor(
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[dim if dim is not None else -1 for dim in shape_like.as_list()],
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dtype=dtypes.int64)
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except (TypeError, ValueError):
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# The argument was not trivially convertible to a
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# `tf.TensorShape`, so fall back on the conversion to tensor
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# machinery.
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ret = ops.convert_to_tensor(shape_like, preferred_dtype=dtypes.int64)
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if ret.shape.dims is not None and len(ret.shape.dims) != 1:
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raise ValueError("The given shape %s must be a 1-D tensor of tf.int64 "
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"values, but the shape was %s."
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% (shape_like, ret.shape))
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if ret.dtype != dtypes.int64:
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raise TypeError("The given shape %s must be a 1-D tensor of tf.int64 "
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"values, but the element type was %s."
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% (shape_like, ret.dtype.name))
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return ret
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