forked from TensorLayer/tensorlayer3
106 lines
2.6 KiB
Python
106 lines
2.6 KiB
Python
#! /usr/bin/python
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# -*- coding: utf-8 -*-
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import tensorlayer as tl
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from tensorlayer import logging
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from tensorlayer.layers.core import Module
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__all__ = [
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'ExpandDims',
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'Tile',
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]
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class ExpandDims(Module):
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"""
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The :class:`ExpandDims` class inserts a dimension of 1 into a tensor's shape,
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see `tf.expand_dims() <https://www.tensorflow.org/api_docs/python/tf/expand_dims>`__ .
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Parameters
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----------
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axis : int
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The dimension index at which to expand the shape of input.
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name : str
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A unique layer name. If None, a unique name will be automatically assigned.
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Examples
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--------
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>>> x = tl.layers.Input([10, 3], name='in')
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>>> y = tl.layers.ExpandDims(axis=-1)(x)
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[10, 3, 1]
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"""
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def __init__(
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self,
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axis,
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name=None # 'expand_dims',
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):
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super(ExpandDims, self).__init__(name)
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self.axis = axis
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self.build((None, ))
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self._built = True
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logging.info("ExpandDims %s: axis: %d" % (self.name, self.axis))
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def __repr__(self):
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s = '{classname}('
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s += 'axis={axis},'
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s += 'name={name}'
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s += ")"
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return s.format(classname=self.__class__.__name__, **self.__dict__)
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def build(self, inputs_shape):
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self.expand_dims = tl.ops.ExpandDims(axis=self.axis)
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# @tf.function
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def forward(self, inputs):
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outputs = self.expand_dims(inputs)
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return outputs
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class Tile(Module):
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"""
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The :class:`Tile` class constructs a tensor by tiling a given tensor,
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see `tf.tile() <https://www.tensorflow.org/api_docs/python/tf/tile>`__ .
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Parameters
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----------
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multiples: tensor
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Must be one of the following types: int32, int64.
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1-D Length must be the same as the number of dimensions in input.
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name : None or str
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A unique layer name.
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Examples
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--------
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>>> x = tl.layers.Input([10, 3], name='in')
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>>> y = tl.layers.Tile(multiples=[2, 3])(x)
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"""
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def __init__(self, multiples=None, name=None): #'tile'):
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super(Tile, self).__init__(name)
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self.multiples = multiples
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self.build((None, ))
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self._built = True
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logging.info("Tile %s: multiples: %s" % (self.name, self.multiples))
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def __repr__(self):
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s = '{classname}('
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s += 'multiples={multiples},'
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s += 'name={name}'
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s += ")"
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return s.format(classname=self.__class__.__name__, **self.__dict__)
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def build(self, inputs_shape):
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self.tile = tl.ops.Tile()
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# @tf.function
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def forward(self, inputs):
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outputs = self.tile(inputs, multiples=self.multiples)
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return outputs
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