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ci/official/requirements_updater/WORKSPACE
# buildifier: disable=load-on-top load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") http_archive( name = "bazel_skylib", sha256 = "74d544d96f4a5bb630d465ca8bbcfe231e3594e5aae57e1edbf17a6eb3ca2506", urls = [ "https://storage.googleapis.com/mirror.tensorflow.org/github.com/bazelbuild/bazel-skylib/releases/download/1.3.0/bazel-skylib-1.3.0.tar.gz",
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WORKSPACE
# We must initialize hermetic python first. load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") http_archive( name = "bazel_skylib", sha256 = "74d544d96f4a5bb630d465ca8bbcfe231e3594e5aae57e1edbf17a6eb3ca2506", urls = [ "https://storage.googleapis.com/mirror.tensorflow.org/github.com/bazelbuild/bazel-skylib/releases/download/1.3.0/bazel-skylib-1.3.0.tar.gz",
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ci/official/wheel_test/WORKSPACE
workspace(name = "wheel_test") # buildifier: disable=load-on-top load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") http_archive( name = "bazel_skylib", sha256 = "74d544d96f4a5bb630d465ca8bbcfe231e3594e5aae57e1edbf17a6eb3ca2506", urls = [ "https://storage.googleapis.com/mirror.tensorflow.org/github.com/bazelbuild/bazel-skylib/releases/download/1.3.0/bazel-skylib-1.3.0.tar.gz",
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configure.py
return int(version_str) def retrieve_bazel_version(): """Retrieve installed bazel version (or bazelisk). Returns: The bazel version detected. """ bazel_executable = which('bazel') if bazel_executable is None: bazel_executable = which('bazelisk') if bazel_executable is None: print('Cannot find bazel. Please install bazel/bazelisk.') sys.exit(1)
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (0) -
tensorflow/BUILD
# Description: # TensorFlow is a computational framework, primarily for use in machine # learning applications. load("@bazel_skylib//lib:selects.bzl", "selects") load("@bazel_skylib//rules:common_settings.bzl", "bool_flag", "bool_setting") load("@local_config_cuda//cuda:build_defs.bzl", "if_cuda") load( "//tensorflow:tensorflow.bzl", "VERSION", "VERSION_MAJOR", "check_deps", "if_google", "if_oss",
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.bazelrc
build --spawn_strategy=standalone build -c opt # Make Bazel print out all options from rc files. build --announce_rc # TODO(mihaimaruseac): Document this option or remove if no longer needed build --define=grpc_no_ares=true # See https://github.com/bazelbuild/bazel/issues/7362 for information on what # --incompatible_remove_legacy_whole_archive flag does. # This flag is set to true in Bazel 1.0 and newer versions. We tried to migrate
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tensorflow/c/c_api_test.cc
TF_DeleteTensor(t); EXPECT_TRUE(deallocator_called); } TEST(CAPI, LibraryLoadFunctions) { // TODO(b/73318067): Fix linking for the GPU test generated by the // tf_cuda_cc_test() bazel rule and remove the next line. if (!GPUDeviceName().empty()) return; #if !defined(TENSORFLOW_NO_SHARED_OBJECTS) { // Load the library. TF_Status* status = TF_NewStatus();
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
RELEASE.md
* AutoGraph no longer converts functions passed to `tf.py_function`, `tf.py_func` and `tf.numpy_function`. * Deprecating `XLA_CPU` and `XLA_GPU` devices with this release. * Increasing the minimum bazel version to build TF to 2.0.0 to use Bazel's `cc_experimental_shared_library`. * Keras compile/fit behavior for functional and subclassed models have been unified. Model properties such as `metrics`, `metrics_names` will now be
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