chore: import upstream snapshot with attribution
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wehub-resource-sync
2026-07-13 12:14:16 +08:00
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# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
load("//tensorflow/core/platform:rules_cc.bzl", "cc_library")
"""Configuration file for an XLA plugin.
please don't check in changes to this file. to prevent changes appearing
in git status, use:
git update-index --assume-unchanged tensorflow/compiler/plugin/BUILD
To add additional devices to the XLA subsystem, add targets to the
dependency list in the 'plugin' target. For instance:
deps = ["//tensorflow/compiler/plugin/example:plugin_lib"],
** Please don't remove this file - it is supporting some 3rd party plugins **
"""
package(
# copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
default_visibility = ["//visibility:public"],
licenses = ["notice"],
)
cc_library(
name = "plugin",
deps = [
#"//tensorflow/compiler/plugin/example:example_lib",
],
)
# This target is added purely for the purpose of ensuring that `:xla_device` is
# always publicly visible to external XLA backend/plugin developers.
cc_library(
name = "plugin_device",
deps = [
"//tensorflow/compiler/jit:xla_device",
],
)
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## 3rd party XLA devices
This directory is intended as a place for 3rd party XLA devices which are _not_
integrated into the public repository.
By adding entries to the BUILD target in this directory, a third party device
can be included as a dependency of the JIT subsystem.
For integration into the unit test system, see the files:
- tensorflow/compiler/tests/plugin.bzl
- tensorflow/compiler/xla/tests/plugin.bzl