chore: import upstream snapshot with attribution
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. 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,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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# pylint: disable=invalid-name
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# ruff: noqa: RUF005
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"""Internal DiscoWorker for Disco ProcessSession."""
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import os
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import sys
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from collections.abc import Callable
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from tvm_ffi import Shape, get_global_func, register_global_func
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from tvm_ffi.core import String
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import tvm
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from tvm.runtime import Tensor, tensor
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@register_global_func("tests.disco.add_one", override=True)
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def _add_one(x: int) -> int:
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return x + 1
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@register_global_func("tests.disco.add_one_float", override=True)
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def _add_one_float(x: float):
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return x + 0.5
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@register_global_func("tests.disco.add_one_tensor", override=True)
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def _add_one_tensor(x: Tensor) -> Tensor:
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return tensor(x.numpy() + 1)
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@register_global_func("tests.disco.str", override=True)
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def _str_func(x: str):
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return x + "_suffix"
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@register_global_func("tests.disco.str_obj", override=True)
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def _str_obj_func(x: str):
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assert isinstance(x, str)
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return String(x + "_suffix")
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@register_global_func("tests.disco.shape_tuple", override=True)
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def _shape_tuple_func(x: Shape):
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assert isinstance(x, Shape)
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return Shape(list(x) + [4, 5])
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@register_global_func("tests.disco.test_callback", override=True)
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def _make_callback(device: tvm.runtime.Device) -> Callable[[str, int], Tensor]:
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"""For use in tests/python/disco/test_callback.py
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This function simulates a callback to be used for lazy parameter
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loading.
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Parameters
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----------
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device: tvm.runtime.Device
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The device on which parameters should be located, when
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returned by the callback function.
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Returns
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-------
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fget_item: Callable[[str,int], Tensor]
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A callback function that accepts a parameter's name and index,
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and returns the specified parameter.
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"""
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import numpy as np # pylint: disable=import-outside-toplevel
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def fget_item(param_name: str, param_index: int) -> Tensor:
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if param_index == 0:
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assert param_name == "A"
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arr = np.arange(16).reshape([4, 4]).astype("int32")
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elif param_index == 1:
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assert param_name == "B"
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arr = np.arange(4).reshape([2, 2]).astype("float32")
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else:
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raise ValueError(f"Unexpected index {param_index}")
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return tvm.runtime.tensor(arr, device=device)
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return fget_item
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def main():
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"""Main worker function"""
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if len(sys.argv) != 6:
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print("Usage: <worker_id> <num_workers> <num_groups> <read_fd> <write_fd>")
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return
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worker_id = int(sys.argv[1])
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num_workers = int(sys.argv[2])
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num_groups = int(sys.argv[3])
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if sys.platform == "win32":
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import msvcrt # pylint: disable=import-outside-toplevel,import-error
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reader = msvcrt.open_osfhandle(int(sys.argv[4]), os.O_BINARY)
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writer = msvcrt.open_osfhandle(int(sys.argv[5]), os.O_BINARY)
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else:
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reader = int(sys.argv[4])
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writer = int(sys.argv[5])
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worker_func = get_global_func("runtime.disco.WorkerProcess")
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worker_func(worker_id, num_workers, num_groups, reader, writer)
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if __name__ == "__main__":
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try:
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main()
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except (OSError, KeyboardInterrupt):
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pass
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