wehub-resource-sync
46 lines
1.6 KiB
Python
46 lines
1.6 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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"""L2 normalize in python"""
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import numpy as np
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def l2_normalize_python(a_np, eps, axis=None):
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"""L2 normalize operator in NCHW layout.
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Parameters
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----------
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a_np : numpy.ndarray
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4-D with shape [batch, in_channel, in_height, in_width]
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eps : float
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epsilon constant value
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axis : list of int
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axis over the normalization applied
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Returns
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-------
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l2_normalize_out : np.ndarray
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4-D with shape [batch, out_channel, out_height, out_width]
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"""
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dot_value = np.power(a_np, 2.0)
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sqr_sum = np.sum(dot_value, axis, keepdims=True)
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sqrt_sum = np.sqrt(np.maximum(np.broadcast_to(sqr_sum, a_np.shape), eps))
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l2_normalize_out = np.divide(a_np, sqrt_sum)
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return l2_normalize_out
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