71 lines
2.7 KiB
Python
71 lines
2.7 KiB
Python
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# Copyright 2022 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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"""The implementation of `tf.data.Dataset.range`."""
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from tensorflow.python.data.ops import dataset_ops
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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_spec
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from tensorflow.python.ops import gen_dataset_ops
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def _range(*args, **kwargs): # pylint: disable=unused-private-name
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return _RangeDataset(*args, **kwargs)
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class _RangeDataset(dataset_ops.DatasetSource):
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"""A `Dataset` of a step separated range of values."""
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def __init__(self, *args, **kwargs):
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"""See `Dataset.range()` for details."""
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self._parse_args(*args, **kwargs)
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self._structure = tensor_spec.TensorSpec([], self._output_type)
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variant_tensor = gen_dataset_ops.range_dataset(
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start=self._start,
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stop=self._stop,
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step=self._step,
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**self._common_args)
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super().__init__(variant_tensor)
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def _parse_args(self, *args, **kwargs):
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"""Parses arguments according to the same rules as the `range()` builtin."""
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if len(args) == 1:
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self._start = self._build_tensor(0, "start")
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self._stop = self._build_tensor(args[0], "stop")
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self._step = self._build_tensor(1, "step")
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elif len(args) == 2:
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self._start = self._build_tensor(args[0], "start")
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self._stop = self._build_tensor(args[1], "stop")
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self._step = self._build_tensor(1, "step")
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elif len(args) == 3:
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self._start = self._build_tensor(args[0], "start")
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self._stop = self._build_tensor(args[1], "stop")
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self._step = self._build_tensor(args[2], "step")
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else:
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raise ValueError(f"Invalid `args`. The length of `args` should be "
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f"between 1 and 3 but was {len(args)}.")
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if "output_type" in kwargs:
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self._output_type = kwargs["output_type"]
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else:
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self._output_type = dtypes.int64
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self._name = kwargs["name"] if "name" in kwargs else None
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def _build_tensor(self, int64_value, name):
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return ops.convert_to_tensor(int64_value, dtype=dtypes.int64, name=name)
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@property
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def element_spec(self):
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return self._structure
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