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ci/official/requirements_updater/BUILD.bazel
# 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
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CONTRIBUTING.md
* If you work for a company that wants to allow you to contribute your work, then you'll need to sign a [corporate CLA](https://code.google.com/legal/corporate-cla-v1.0.html).
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tensorflow/c/experimental/filesystem/BUILD
# Experimental filesystem C APIs for TensorFlow. # Will be moved in proper place once all filesystems are converted to the # modular framework. load("//tensorflow:tensorflow.bzl", "tf_cc_test") load("//tensorflow/core/platform:rules_cc.bzl", "cc_library") package( # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"], licenses = ["notice"], ) # This is only for plugins cc_library( name = "filesystem_interface",
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tensorflow/c/BUILD
":tf_buffer_hdrs", ":tf_datatype_hdrs", ":tf_status_headers", ":tf_tensor_hdrs", # TODO: Only include tf_tstring_hdrs. Don't expose the implementation of TF_TString to API # users. ":tf_tstring", "//tensorflow/core:protos_all_cc", ], ) tf_cuda_library( name = "c_api_internal", hdrs = [ "c_api.h",
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WORKSPACE
install_deps() # Initialize the TensorFlow repository and all dependencies. # # The cascade of load() statements and tf_workspace?() calls works around the # restriction that load() statements need to be at the top of .bzl files. # E.g. we can not retrieve a new repository with http_archive and then load() # a macro from that repository in the same file. load("@//tensorflow:workspace3.bzl", "tf_workspace3") tf_workspace3()
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RELEASE.md
* Added `keras.utils.TimedThread` utility to run a timed thread every x seconds. It can be used to run a threaded function alongside model training or any other snippet of code.
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tensorflow/BUILD
# 'enable_registration_v2' opts-in to a different implementation of op and # kernel registration - REGISTER_OP, REGISTER_KERNEL_BUILDER, etc. # # This setting is currently experimental. The 'v2' implementation does _not_ # correspond to a particular, finalized design; rather, it relates to # developing one. # # The current aim of the 'v2' implementation is to allow 'unused' ops and
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tensorflow/c/eager/BUILD
# Experimental extensions to the C API for eager execution of kernels. load( "//tensorflow:tensorflow.bzl", "tf_cc_test", "tf_copts", "tf_cuda_cc_test", "tf_cuda_library", ) load("//tensorflow:tensorflow.default.bzl", "cc_header_only_library", "filegroup") load( "//tensorflow/core/platform:build_config_root.bzl", "tf_cuda_tests_tags", ) load("//tensorflow/core/platform:rules_cc.bzl", "cc_library") package(
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.bazelrc
# --incompatible_remove_legacy_whole_archive flag does. # This flag is set to true in Bazel 1.0 and newer versions. We tried to migrate # Tensorflow to the default, however test coverage wasn't enough to catch the # errors. # There is ongoing work on Bazel team's side to provide support for transitive # shared libraries. As part of migrating to transitive shared libraries, we # hope to provide a better mechanism for control over symbol exporting, and
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tensorflow/c/experimental/filesystem/plugins/posix/BUILD
hdrs = ["posix_filesystem_helper.h"], deps = [":copy_file"], ) # On Linux, we can copy files faster using `sendfile`. But not elsewhere. # Hence, this private library to select which implementation to use. cc_library( name = "copy_file", srcs = select({ "//tensorflow:linux_x86_64": ["copy_file_linux.cc"], "//conditions:default": ["copy_file_portable.cc"], }),
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