chore: import upstream snapshot with attribution
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# Copyright (c) 2021 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 paddle.framework import (
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_apply_pass as _apply_cpp_pass,
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core,
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)
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from paddle.static import Executor
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from .pass_base import CPPPassWrapper, PassType, register_pass
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@register_pass("fuse_elewise_add_act")
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class FuseElementwiseAddActPass(CPPPassWrapper):
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def __init__(self):
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super().__init__()
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@property
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def cpp_name(self):
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return "fuse_elewise_add_act_pass"
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def _type(self):
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return PassType.FUSION_OPT
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@register_pass("fuse_bn_act")
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class FuseBatchNormActPass(CPPPassWrapper):
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def __init__(self):
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super().__init__()
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@property
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def cpp_name(self):
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return "fuse_bn_act_pass"
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def _type(self):
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return PassType.FUSION_OPT
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@register_pass("fuse_bn_add_act")
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class FuseBatchNormAddActPass(CPPPassWrapper):
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def __init__(self):
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super().__init__()
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@property
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def cpp_name(self):
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return "fuse_bn_add_act_pass"
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def _type(self):
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return PassType.FUSION_OPT
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@register_pass("fuse_relu_depthwise_conv")
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class FuseReluDepthwiseConvPass(CPPPassWrapper):
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def __init__(self):
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super().__init__()
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@property
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def cpp_name(self):
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return "fuse_relu_depthwise_conv_pass"
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def _type(self):
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return PassType.FUSION_OPT
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@register_pass("fused_attention")
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class FusedAttentionPass(CPPPassWrapper):
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def __init__(self):
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super().__init__()
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@property
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def cpp_name(self):
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return "fused_attention_pass"
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def _type(self):
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return PassType.FUSION_OPT
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@register_pass("fused_feedforward")
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class FusedFeedforwardPass(CPPPassWrapper):
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def __init__(self):
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super().__init__()
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@property
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def cpp_name(self):
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return "fused_feedforward_pass"
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def _type(self):
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return PassType.FUSION_OPT
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@register_pass("fuse_gemm_epilogue")
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class FuseGemmEpiloguePass(CPPPassWrapper):
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def __init__(self):
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super().__init__()
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@property
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def cpp_name(self):
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return "fuse_gemm_epilogue_pass"
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def _type(self):
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return PassType.FUSION_OPT
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@register_pass("fuse_adamw")
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class FuseAdamWPass(CPPPassWrapper):
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def __init__(self):
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super().__init__()
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@property
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def cpp_name(self):
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return "fuse_adamw_op_pass"
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def _type(self):
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return PassType.FUSION_OPT
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@register_pass("fuse_dot_product_attention")
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class FuseDotProductAttentionPass(CPPPassWrapper):
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def __init__(self):
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super().__init__()
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@property
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def cpp_name(self):
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return "fuse_dot_product_attention_pass"
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def _type(self):
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return PassType.FUSION_OPT
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@register_pass("fuse_optimizer")
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class FuseOptimizerPass(CPPPassWrapper):
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def __init__(self):
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super().__init__()
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@property
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def cpp_name(self):
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return [
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"fuse_adam_op_pass",
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"fuse_sgd_op_pass",
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"fuse_momentum_op_pass",
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]
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def _type(self):
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return PassType.FUSION_OPT
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# @register_pass("inplace_addto_op")
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# class InplaceAddtoOpPass(CPPPassWrapper):
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# def __init__(self):
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# super().__init__()
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# @property
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# def cpp_name(self):
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# return "inplace_addto_op_pass"
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# def _type(self):
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# return PassType.CALC_OPT
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@register_pass("fuse_resunit")
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class FuseResUnitPass(CPPPassWrapper):
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def __init__(self):
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super().__init__()
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@property
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def cpp_name(self):
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return "fuse_resunit_pass"
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def _type(self):
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return PassType.FUSION_OPT
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def _set_cinn_op_flag(flag_name, extra_ops):
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values = core.globals()[flag_name]
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values = [v.strip() for v in values.split(";") if v.strip()]
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values.extend(extra_ops)
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core.globals()[flag_name] = ";".join(values)
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@register_pass("build_cinn")
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class BuildCINNPass(CPPPassWrapper):
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def __init__(self):
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super().__init__()
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self.set_attr("allow_ops", [])
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self.set_attr("deny_ops", [])
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@property
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def cpp_name(self):
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return "build_cinn_pass"
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def _type(self):
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return PassType.CALC_OPT
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def _apply_single_impl(self, main_program, startup_program, context):
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assert 'FLAGS_allow_cinn_ops' in core.globals(), (
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"PaddlePaddle is not compiled with CINN support"
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)
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old_allow_ops = core.globals()['FLAGS_allow_cinn_ops']
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old_deny_ops = core.globals()['FLAGS_deny_cinn_ops']
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try:
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_set_cinn_op_flag(
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'FLAGS_allow_cinn_ops', self.get_attr("allow_ops")
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)
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_set_cinn_op_flag('FLAGS_deny_cinn_ops', self.get_attr("deny_ops"))
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feed = self.get_attr('feed', [])
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fetch_list = self.get_attr('fetch_list', [])
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prune_program = self.get_attr('prune_program', True)
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if prune_program:
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tmp_main_program = Executor._prune_program(
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main_program, feed, fetch_list, []
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)
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tmp_main_program = Executor._add_fetch_ops(
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tmp_main_program, fetch_list, 'fetch'
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)
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else:
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tmp_main_program = Executor._add_fetch_ops(
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main_program, fetch_list, 'fetch'
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)
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_apply_cpp_pass(
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tmp_main_program,
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startup_program,
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self.cpp_name,
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{},
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self.cpp_attr_types,
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)
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tmp_main_program = Executor._remove_fetch_ops(tmp_main_program)
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tmp_main_program = core.ProgramDesc(tmp_main_program.desc)
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main_program._rebuild_from_desc(tmp_main_program)
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finally:
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core.globals()['FLAGS_allow_cinn_ops'] = old_allow_ops
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core.globals()['FLAGS_deny_cinn_ops'] = old_deny_ops
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