wehub-resource-sync
43 lines
1.5 KiB
Python
43 lines
1.5 KiB
Python
# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
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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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import numpy as np
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TOLERANCE = {
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np.dtype('float64'): {
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"jit_comp": {"rtol": 1e-15, "atol": 1e-15},
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"fw_comp": {"rtol": 1e-15, "atol": 1e-15},
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"rev_comp": {"rtol": 1e-15, "atol": 1e-15},
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"cinn": {"rtol": 1e-14, "atol": 1e-14},
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},
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np.dtype('float32'): {
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"jit_comp": {"rtol": 1e-6, "atol": 1e-6},
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"fw_comp": {"rtol": 1e-6, "atol": 1e-6},
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"rev_comp": {"rtol": 1e-6, "atol": 1e-6},
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"cinn": {"rtol": 1e-5, "atol": 1e-5},
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},
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np.dtype('float16'): {
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"jit_comp": {"rtol": 1e-3, "atol": 1e-3},
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"fw_comp": {"rtol": 1e-3, "atol": 1e-3},
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"rev_comp": {"rtol": 1e-3, "atol": 1e-3},
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"cinn": {"rtol": 1e-2, "atol": 1e-2},
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},
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np.dtype('uint16'): {
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"jit_comp": {"rtol": 1e-2, "atol": 1e-2},
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"fw_comp": {"rtol": 1e-2, "atol": 1e-2},
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"rev_comp": {"rtol": 1e-2, "atol": 1e-2},
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"cinn": {"rtol": 1e-1, "atol": 1e-1},
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},
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}
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