wehub-resource-sync
224 lines
7.3 KiB
Python
224 lines
7.3 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 paddle
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from paddle.framework.dtype import bind_datatype, bind_vartype
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def _switch_to_pir_():
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bind_datatype()
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paddle.base.framework.global_var._use_pir_api_ = True
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paddle.framework.set_flags({"FLAGS_enable_pir_in_executor": True})
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paddle.pir.register_paddle_dialect()
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# TODO find a better place to init the registration of dist dialect.
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paddle.pir.register_dist_dialect()
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paddle.base.Program = paddle.pir.Program
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paddle.base.program_guard = paddle.pir.core.program_guard
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paddle.base.default_main_program = paddle.pir.core.default_main_program
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paddle.base.default_startup_program = (
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paddle.pir.core.default_startup_program
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)
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paddle.static.Program = paddle.pir.Program
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paddle.static.program_guard = paddle.pir.core.program_guard
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paddle.static.default_main_program = paddle.pir.core.default_main_program
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paddle.static.default_startup_program = (
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paddle.pir.core.default_startup_program
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)
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def _switch_to_old_ir_():
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bind_vartype()
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paddle.base.framework.global_var._use_pir_api_ = False
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paddle.framework.set_flags({"FLAGS_enable_pir_in_executor": False})
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paddle.base.Program = paddle.base.framework.Program
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paddle.base.program_guard = paddle.base.framework.program_guard
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paddle.base.default_main_program = (
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paddle.base.framework.default_main_program
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)
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paddle.base.default_startup_program = (
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paddle.base.framework.default_startup_program
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)
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paddle.static.Program = paddle.base.framework.Program
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paddle.static.program_guard = paddle.base.framework.program_guard
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paddle.static.default_main_program = (
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paddle.base.framework.default_main_program
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)
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paddle.static.default_startup_program = (
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paddle.base.framework.default_startup_program
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)
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class IrGuard:
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def __enter__(self):
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self.in_dygraph_outside = paddle.base.framework.in_dygraph_mode()
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self.old_flag = paddle.base.framework.get_flags("FLAGS_enable_pir_api")[
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"FLAGS_enable_pir_api"
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]
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if self.in_dygraph_outside:
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paddle.enable_static()
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if not self.old_flag:
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paddle.framework.set_flags({"FLAGS_enable_pir_api": True})
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paddle.base.framework.global_var._use_pir_api_ = True
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self._switch_to_pir()
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def __exit__(self, exc_type, exc_val, exc_tb):
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if self.in_dygraph_outside:
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paddle.disable_static()
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if not self.old_flag:
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paddle.framework.set_flags({"FLAGS_enable_pir_api": False})
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paddle.base.framework.global_var._use_pir_api_ = False
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self._switch_to_old_ir()
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def _switch_to_pir(self):
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if paddle.base.framework.get_flags("FLAGS_enable_pir_api")[
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"FLAGS_enable_pir_api"
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]:
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_switch_to_pir_()
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def _switch_to_old_ir(self):
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if not paddle.base.framework.get_flags("FLAGS_enable_pir_api")[
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"FLAGS_enable_pir_api"
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]:
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_switch_to_old_ir_()
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else:
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raise RuntimeError(
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"IrGuard._switch_to_old_ir only work when paddle.framework.in_pir_mode() is false, \
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please set FLAGS_enable_pir_api = false"
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)
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class OldIrGuard:
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def __enter__(self):
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self.in_dygraph_outside = paddle.base.framework.in_dygraph_mode()
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self.old_flag = paddle.base.framework.get_flags("FLAGS_enable_pir_api")[
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"FLAGS_enable_pir_api"
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]
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if self.in_dygraph_outside:
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paddle.enable_static()
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if self.old_flag:
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paddle.framework.set_flags({"FLAGS_enable_pir_api": False})
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_switch_to_old_ir_()
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def __exit__(self, exc_type, exc_val, exc_tb):
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if self.in_dygraph_outside:
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paddle.disable_static()
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if self.old_flag:
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paddle.framework.set_flags({"FLAGS_enable_pir_api": True})
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_switch_to_pir_()
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class DygraphPirGuard:
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def __enter__(self):
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self.old_flag = paddle.base.framework.get_flags("FLAGS_enable_pir_api")[
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"FLAGS_enable_pir_api"
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]
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if not self.old_flag:
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paddle.framework.set_flags({"FLAGS_enable_pir_api": True})
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self._switch_to_pir()
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def __exit__(self, exc_type, exc_val, exc_tb):
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if not self.old_flag:
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paddle.framework.set_flags({"FLAGS_enable_pir_api": False})
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self._switch_to_old_ir()
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def _switch_to_pir(self):
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if paddle.base.framework.get_flags("FLAGS_enable_pir_api")[
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"FLAGS_enable_pir_api"
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]:
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_switch_to_pir_()
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def _switch_to_old_ir(self):
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if not paddle.base.framework.get_flags("FLAGS_enable_pir_api")[
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"FLAGS_enable_pir_api"
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]:
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_switch_to_old_ir_()
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else:
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raise RuntimeError(
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"IrGuard._switch_to_old_ir only work when paddle.framework.in_pir_mode() is false, \
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please set FLAGS_enable_pir_api = false"
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)
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class DygraphOldIrGuard:
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def __enter__(self):
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self.old_flag = paddle.base.framework.get_flags("FLAGS_enable_pir_api")[
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"FLAGS_enable_pir_api"
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]
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if self.old_flag:
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paddle.framework.set_flags({"FLAGS_enable_pir_api": False})
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_switch_to_old_ir_()
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def __exit__(self, exc_type, exc_val, exc_tb):
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if self.old_flag:
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paddle.framework.set_flags({"FLAGS_enable_pir_api": True})
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_switch_to_pir_()
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def get_memory(value):
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from paddle.base.core import DataType
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numel = value.numel()
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mapping = {
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DataType.BOOL: 1,
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DataType.INT8: 1,
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DataType.INT16: 2,
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DataType.INT32: 4,
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DataType.INT64: 8,
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DataType.UINT8: 1,
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DataType.UINT16: 2,
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DataType.UINT32: 4,
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DataType.UINT64: 8,
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DataType.FLOAT32: 4,
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DataType.FLOAT64: 8,
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}
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dtype = mapping[value.type().dtype]
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return dtype * numel
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def analysis_io(program: paddle.pir.Program):
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# 1. don't support control flow now
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# 2. each op is consider read all inputs and write all outputs once.
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# 3. unit is "GByte"
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total_io = 0.0
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for op in program.global_block().ops:
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for operand in op.operands():
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value = operand.source()
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total_io += get_memory(value)
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for value in op.results():
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total_io += get_memory(value)
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return total_io / 1024 / 1024 / 1024
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def append_activation_in_pir(input, act=None, use_cudnn=None):
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if act is None:
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return input
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act_name_mapping = {
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"hard_swish": "hardswish",
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}
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act = act_name_mapping.get(act, act)
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attrs = ()
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if use_cudnn:
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attrs = ('use_cudnn', use_cudnn)
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act_op = getattr(paddle._C_ops, act)
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if act == 'softmax':
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return act_op(input, -1)
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return act_op(input, *attrs)
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