wehub-resource-sync
298 lines
9.2 KiB
Python
298 lines
9.2 KiB
Python
# Copyright (c) 2025 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 inspect
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import math
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import threading
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import numpy as np
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import yaml
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import paddle
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_trace_guard = threading.local()
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_originals = {} # {api_path: (parent_obj, method_name, original_fn)}
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_hooked_apis = []
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class HookAPIMap:
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pass
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class ConfigDump:
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def __init__(self):
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pass
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def open_file(self, path):
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self.file = open(path, "a+")
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def dump_config(self, api, input_args, input_kwargs, outputs):
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result = api + "("
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for value in input_args:
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tmp = self.dump_item_str(api, value)
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if tmp == "":
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return
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result = result + tmp + ", "
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for key, value in input_kwargs.items():
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tmp = self.dump_item_str(api, value)
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if tmp == "":
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return
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result = result + key + "=" + tmp + ", "
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result = result + ")"
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# self.file.write(") -> ")
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# if isinstance(outputs, (list, tuple)):
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# for output in outputs:
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# self.file.write(self.dump_item_str(api, output) + ", ")
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# else:
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# self.file.write(self.dump_item_str(api, outputs) + ", ")
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self.file.write(result)
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self.file.write("\n")
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self.file.flush()
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def dump_item_str(self, api, item):
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type_mapping = {
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np.int16: int,
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np.int32: int,
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np.int64: int,
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np.float16: float,
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np.float32: float,
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np.float64: float,
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np.integer: int,
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np.floating: float,
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np.bool_: bool,
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np.complexfloating: complex,
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np.str_: str,
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np.bytes_: bytes,
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# np.unicode_: str,
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}
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for numpy_type, builtin_type in type_mapping.items():
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if isinstance(item, numpy_type):
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item = builtin_type(item)
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break
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if isinstance(item, paddle.Tensor):
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result = (
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"Tensor(" + str(item.shape) + ',"' + str(item.dtype)[7:] + '"'
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)
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if item.place.is_cpu_place():
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result = result + ",place=" + str(item.place)
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if not item.is_contiguous():
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result = (
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result + ",is_contiguous=False,strides=" + str(item.strides)
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)
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return result + ")"
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elif isinstance(item, paddle.base.core.DataType):
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return "Dtype(" + str(item)[7:] + ")"
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elif isinstance(item, paddle.base.core.VarDesc.VarType):
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return "VarType(" + str(item)[7:] + ")"
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elif isinstance(item, paddle.base.libpaddle.Place):
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return str(item)
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elif isinstance(item, list):
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result = "list["
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for sub_item in item:
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tmp = self.dump_item_str(api, sub_item)
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if tmp == "":
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return ""
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result = result + tmp + ","
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result = result + "]"
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return result
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elif isinstance(item, tuple):
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result = "tuple("
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for sub_item in item:
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tmp = self.dump_item_str(api, sub_item)
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if tmp == "":
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return ""
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result = result + tmp + ","
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result = result + ")"
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return result
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elif isinstance(item, slice):
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start_str = (
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str(int(item.start.numpy()))
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if isinstance(item.start, paddle.Tensor)
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else str(item.start)
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)
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stop_str = (
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str(int(item.stop.numpy()))
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if isinstance(item.stop, paddle.Tensor)
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else str(item.stop)
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)
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step_str = (
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str(int(item.step.numpy()))
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if isinstance(item.step, paddle.Tensor)
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else str(item.step)
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)
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return "slice(" + start_str + "," + stop_str + "," + step_str + ")"
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elif isinstance(item, complex):
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return (
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"complex("
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+ self.dump_item_str(api, item.real)
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+ ","
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+ self.dump_item_str(api, item.imag)
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+ ")"
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)
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elif item is None:
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return "None"
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elif isinstance(
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item, (paddle.base.Variable, paddle.base.libpaddle.pir.Value)
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):
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return ""
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elif item == math.inf:
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return "math.inf"
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elif item == -math.inf:
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return "-math.inf"
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elif item == math.nan:
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return "math.nan"
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elif item == -math.nan:
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return "-math.nan"
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elif isinstance(item, (bool, int, float)):
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return str(item)
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elif isinstance(item, str):
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return '"' + item + '"'
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elif isinstance(item, type):
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return (
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"type("
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+ str(item)[str(item).index("'") + 1 : str(item).rindex("'")]
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+ ")"
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)
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elif isinstance(item, np.ndarray):
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return str(item)[1:-1]
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elif isinstance(item, np.dtype):
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return "Dtype(" + str(item) + ")"
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elif item == Ellipsis:
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return "Ellipsis"
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else:
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print(
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"[api_tracer error] : dump_item_str ",
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api,
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", item = ",
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item,
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", type(item) = ",
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type(item),
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)
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return ""
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config_dump = ConfigDump()
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class APITemplate:
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def __init__(self, api_name):
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self.api_name = api_name
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def __call__(self, *args, **kwargs):
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if getattr(_trace_guard, 'in_hook', False):
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return getattr(HookAPIMap, self.api_name)(*args, **kwargs)
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_trace_guard.in_hook = True
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try:
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output = getattr(HookAPIMap, self.api_name)(*args, **kwargs)
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try:
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config_dump.dump_config(self.api_name, args, kwargs, output)
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except Exception as err:
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print(
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"[api_tracer error] : config_dump.dump_config ",
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self.api_name,
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str(err),
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)
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return output
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finally:
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_trace_guard.in_hook = False
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def wrapped_api(api_name):
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def api_template(*args, **kwargs):
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return APITemplate(api_name)(*args, **kwargs)
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return api_template
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def expand_wildcard(api_pattern):
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if not api_pattern.endswith('.*'):
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return [api_pattern]
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module_path = api_pattern[:-2]
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try:
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module = eval(module_path)
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except Exception as e:
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print(f"[api_tracer error] : expand_wildcard {api_pattern}, {e}")
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return []
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apis = []
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for name in dir(module):
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if module_path.endswith('_C_ops'):
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if name.startswith('__'):
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continue
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elif name.startswith('_'):
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continue
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try:
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attr = getattr(module, name)
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if (
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callable(attr)
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and not inspect.isclass(attr)
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and not inspect.ismodule(attr)
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):
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apis.append(f"{module_path}.{name}")
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except Exception:
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pass
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return apis
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def start_api_tracer(api_path, save_config_path):
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print(paddle.__version__)
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with open(api_path, "r") as f:
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raw_apis = yaml.safe_load(f).get("apis") or []
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sample_apis = []
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for api in raw_apis:
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sample_apis.extend(expand_wildcard(api))
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sample_apis = list(dict.fromkeys(sample_apis))
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print(f"[api_tracer] Expanded to {len(sample_apis)} APIs")
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for api in sample_apis:
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parent_package, method_name = api.rsplit(".", maxsplit=1)
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try:
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parent = eval(parent_package)
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original = getattr(parent, method_name)
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_originals[api] = (parent, method_name, original)
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setattr(HookAPIMap, api, original)
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setattr(parent, method_name, wrapped_api(api))
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_hooked_apis.append(api)
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except Exception as err:
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print(
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"[api_tracer error] : start_api_tracer ",
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api,
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str(err),
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)
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config_dump.open_file(save_config_path)
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def stop_api_tracer():
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for api in _hooked_apis:
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entry = _originals.pop(api, None)
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if entry:
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parent, method_name, original = entry
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try:
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setattr(parent, method_name, original)
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except Exception as err:
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print(f"[api_tracer error] : stop_api_tracer {api} {err}")
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_hooked_apis.clear()
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if (
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hasattr(config_dump, 'file')
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and config_dump.file
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and not config_dump.file.closed
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):
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config_dump.file.flush()
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config_dump.file.close()
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print("[api_tracer] Stopped, all hooks removed.")
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