wehub-resource-sync
50 lines
1.8 KiB
Python
50 lines
1.8 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. 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,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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# pylint: disable=invalid-name, line-too-long, unused-variable, too-many-locals
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"""Space to depth in python"""
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import numpy as np
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def space_to_depth_python(data, block_size):
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"""Space to Depth operator in python for NCHW layout.
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Parameters
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----------
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data : np.ndarray
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4-D with shape [batch, in_channel, in_height, in_width]
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block_size : int
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Size of spatial blocks to decompose into channels.
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Returns
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-------
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d2s_out : np.ndarray
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4-D with shape [batch, in_channel * (block_size * block_size),
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out_height / block_size, out_width / block_size]
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"""
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in_n, in_c, in_h, in_w = data.shape
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new_h = int(in_h / block_size)
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new_w = int(in_h / block_size)
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new_c = int(in_c * (block_size * block_size))
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expanded = np.reshape(data, newshape=[in_n, in_c, new_h, block_size, new_w, block_size])
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transposed = np.transpose(expanded, axes=[0, 3, 5, 1, 2, 4])
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newshape = [in_n, new_c, new_h, new_w]
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d2s_out = np.reshape(transposed, newshape=newshape)
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return d2s_out
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