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ci/official/requirements_updater/BUILD.bazel
# Copyright 2023 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,
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tensorflow/c/eager/parallel_device/BUILD
load("//tensorflow/core/platform:rules_cc.bzl", "cc_library") package( # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"], licenses = ["notice"], ) # Currently pybind extension shared objects must use only C API headers since # the C API has static initializers duplicated in the Python bindings. So we # need a second rule that omits .cc files, in # tensorflow/python:_pywrap_parallel_device. filegroup(
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tensorflow/c/c_api_test.cc
} TEST(CAPI, Session_Min_CPU) { RunMinTest(/*device=*/"", /*use_XLA=*/false); } TEST(CAPI, Session_Min_XLA_CPU) { RunMinTest(/*device=*/"", /*use_XLA=*/true); } TEST(CAPI, Session_Min_GPU) { const string gpu_device = GPUDeviceName(); // Skip this test if no GPU is available. if (gpu_device.empty()) return; RunMinTest(gpu_device, /*use_XLA=*/false); } TEST(CAPI, Session_Min_XLA_GPU) {
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tensorflow/c/c_test.c
/* Copyright 2018 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,
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CONTRIBUTING.md
for the required packages. Alternatively, use the said [tensorflow/build Docker images](https://hub.docker.com/r/tensorflow/build) (`tensorflow/tensorflow:devel` and `tensorflow/tensorflow:devel-gpu` are no longer supported for) development. Use TF SIG Build Dockerfiles in development to avoid installing the packages directly on your system (in
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tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem_static.cc
/* Copyright 2020 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,
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tensorflow/c/BUILD
# Description: # C API for TensorFlow, for use by client language bindings. load("@bazel_skylib//lib:selects.bzl", "selects") load("@local_config_tensorrt//:build_defs.bzl", "if_tensorrt") load("@local_tsl//tsl/platform:rules_cc.bzl", "cc_library") load( "//tensorflow:tensorflow.bzl", "check_deps", "if_google", "if_not_mobile", "tf_cc_test", "tf_copts", "tf_cuda_library", "tf_custom_op_library",
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tensorflow/c/c_api.cc
/* Copyright 2015 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,
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RELEASE.md
script to use Keras 3.0. * Please refer to the new Keras documentation for Keras 3.0 (https://keras.io/keras_3). * To continue using Keras 2.0, do the following. * 1. Install tf-keras via pip install tf-keras~=2.16 1. To switch tf.keras to use Keras 2 (tf-keras), set the environment variable TF_USE_LEGACY_KERAS=1 directly or in your python program by
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tensorflow/BUILD
# been loaded by pywrap_tensorflow) and registers its ops and kernels via # REGISTER_OP and REGISTER_KERNEL_BUILDER (which use symbols from # libtensorflow_framework.so), and pywrap_tensorflow can then use these # ops. Since other languages use the same libtensorflow_framework.so, op # libraries are language agnostic. # # This shared object is not used unless framework_shared_object=true (set in the
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