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tensorflow/c/eager/parallel_device/BUILD
"//tensorflow/c/eager:c_api", "//tensorflow/c/eager:c_api_experimental", "//tensorflow/c/eager:tfe_context_internal", "//tensorflow/core:framework", "//tensorflow/core:protos_all_cc", "//tensorflow/core:test", "//tensorflow/core:test_main", "//tensorflow/core/common_runtime/eager:context", ], ) cc_library( name = "parallel_device_testlib",
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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/BUILD
":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", "c_api_internal.h", "c_api_macros.h", "tf_buffer.h",
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CONTRIBUTING.md
* As every PR requires several CPU/GPU hours of CI testing, we discourage submitting PRs to fix one typo, one warning,etc. We recommend fixing the same issue at the file level at least (e.g.: fix all typos in a file, fix all compiler warnings in a file, etc.) * Tests should follow the [testing best practices](https://www.tensorflow.org/community/contribute/tests) guide. #### License
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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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WORKSPACE
requirements = "//:requirements_lock_" + TF_PYTHON_VERSION.replace(".", "_") + ".txt", ) load("@pypi//:requirements.bzl", "install_deps") 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.
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RELEASE.md
`image_summary`, `merge_summary`, and `merge_all_summaries`. * Combined `batch_*` and regular version of linear algebra and FFT ops. The regular op now handles batches as well. All `batch_*` Python interfaces were removed. * `tf.all_variables`, `tf.VARIABLES` and `tf.initialize_all_variables` renamed to `tf.global_variables`, `tf.GLOBAL_VARIABLES` and
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tensorflow/c/eager/BUILD
"//tensorflow/core:lib", "//tensorflow/core:protos_all_cc", ], ) cc_library( name = "abstract_op_attrs", hdrs = ["abstract_op_attrs.h"], visibility = [ "//tensorflow:internal", ], deps = [ "//tensorflow/core:lib", "//tensorflow/core:protos_all_cc", "@com_google_absl//absl/container:inlined_vector", ], )
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tensorflow/BUILD
selects.config_setting_group( name = "is_cuda_enabled_and_oss", match_all = [ ":is_cuda_enabled", ":oss", ], ) # Config setting that is satisfied when building with --config=cuda for Windows selects.config_setting_group( name = "is_cuda_enabled_and_windows", match_all = [ ":is_cuda_enabled", ":windows", ], )
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ci/official/utilities/code_check_full.bats
# gathers the list of all packages (i.e. directories) which contain those # targets. license_query() { bazel cquery --experimental_cc_shared_library "$1" --keep_going \ | grep -e "^//" -e "^@" \ | grep -E -v "^//tensorflow" \ | sed -e 's|:.*||' \ | sort -u } # Verify that, given a build target and a license-list generator target, all of
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