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coach v0.8.0
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28
architectures/neon_components/losses.py
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28
architectures/neon_components/losses.py
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#
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# Copyright (c) 2017 Intel Corporation
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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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import ngraph as ng
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import ngraph.frontends.neon as neon
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from ngraph.util.names import name_scope
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import numpy as np
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def mean_squared_error(targets, outputs, weights=1.0, scope=""):
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with name_scope(scope):
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# TODO: reduce mean over the action axis
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loss = ng.squared_L2(targets - outputs)
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weighted_loss = loss * weights
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return weighted_loss
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