wehub-resource-sync
55 lines
1.6 KiB
Python
55 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
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"""Dense in python"""
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import numpy as np
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def dense(x, y, bias, use_bias=False, use_relu=False, out_dtype=None):
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"""dense operator implemented in numpy.
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Parameters
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----------
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x : numpy.ndarray
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2-D with shape [M, K]
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y : numpy.ndarray
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2-D with shape [N, K]
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bias: numpy.ndarray
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1-D with shape [M,]
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out_dtype: string, optional
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Specify the dtype of output
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Returns
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-------
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out : numpy.ndarray
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2-D with shape [M, N]
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"""
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dtype = x.dtype if out_dtype is None else out_dtype
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if use_bias:
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out = np.dot(x.astype(dtype), y.T.astype(dtype)) + bias
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else:
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out = np.dot(x.astype(dtype), y.T.astype(dtype))
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if use_relu:
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out = np.maximum(out, 0)
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return out
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