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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"""Global Info."""
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import tvm_ffi
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import tvm
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from tvm.runtime import Device, Object
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from . import _ffi_api
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@tvm_ffi.register_object("ir.GlobalInfo")
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class GlobalInfo(Object):
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"""Base node for all global info that can appear in the IR"""
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def __eq__(self, other):
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"""Compare two global info objects for structural equivalence."""
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return tvm_ffi.structural_equal(self, other)
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def __ne__(self, other):
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return not self.__eq__(other)
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def same_as(self, other):
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"""Overload with structural equality."""
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return super().__eq__(other)
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@tvm_ffi.register_object("ir.DummyGlobalInfo")
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class DummyGlobalInfo(GlobalInfo):
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"""DummyGlobalInfo"""
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def __init__(self) -> None:
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self.__init_handle_by_constructor__(
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_ffi_api.DummyGlobalInfo,
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)
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@tvm_ffi.register_object("ir.VDevice")
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class VDevice(GlobalInfo):
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"""VDevice"""
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def __init__(
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self,
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target=None,
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vdevice_id: int = 0,
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memory_scope: str = "global",
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) -> None:
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if isinstance(target, dict | str):
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target = tvm.target.Target(tvm.runtime.convert(target))
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if isinstance(target, Device):
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target = tvm.target.Target.from_device(target)
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self.__init_handle_by_constructor__(_ffi_api.VDevice, target, vdevice_id, memory_scope)
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