wehub-resource-sync
80 lines
1.6 KiB
Python
80 lines
1.6 KiB
Python
# Copyright (c) 2022 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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from .primreg import (
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lookup_fn,
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lookup_jvp,
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lookup_orig2prim,
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lookup_prim2orig,
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lookup_transpose,
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)
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def _orig2prim(op, *args):
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_lowerrule = lookup_orig2prim(op.type)
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return _lowerrule(op, *args)
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def _prim2orig(op, *args):
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_lowerrule = lookup_prim2orig(op.type)
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return _lowerrule(op, *args)
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def _jvp(op, *args):
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_jvprule = lookup_jvp(op.type)
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return _jvprule(op, *args)
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def _transpose(op, dot_checker, *args):
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_transposerule = lookup_transpose(op.type)
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return _transposerule(op, dot_checker, *args)
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def linear_jvp(op, *args, **kwargs):
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fn = lookup_fn(op.type)
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out_dot = fn(*args, **kwargs)
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return out_dot
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# Register orig2prim lower rules
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"""
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These original ops are fully supported:
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elementwise_add
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elementwise_sub
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elementwise_mul
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tanh
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fill_zeros_like
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fill_any_like
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sum
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index_select
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scale
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assign
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sqrt
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log
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select
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equal
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elementwise_pow
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dropout
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uniform_random
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These original ops are partially supported:
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matmul_v2
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reshape2
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concat
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slice
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p_norm
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"""
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