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ci/official/envs/rbe
if ! grep "rbe_$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX" .bazelrc; then cat <<EOF ERROR: RBE was enabled via the 'rbe' env in the 'TFCI' variable. TFCI: $TFCI TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX is "$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX". But in .bazelrc, there is no "rbe_$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX". That setting must exist for this script to function correctly. EOF
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jan 10 19:39:41 GMT 2024 - 2K bytes - Viewed (0) -
ci/official/envs/linux_x86_cuda
source ci/official/envs/linux_x86 TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_gpu_linux" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cuda TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ARGS="--gpus all" TFCI_LIB_SUFFIX="-gpu-linux-x86_64"
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Jan 19 00:24:30 GMT 2024 - 1K bytes - Viewed (0) -
tensorflow/c/checkpoint_reader.cc
std::vector<string> v2_path; if (Env::Default()->GetMatchingPaths(MetaFilename(filename), &v2_path).ok() && !v2_path.empty()) { v2_reader_.reset( new BundleReader(Env::Default(), filename /* prefix to a V2 ckpt */)); if (!v2_reader_->status().ok()) { tsl::Set_TF_Status_from_Status(status, v2_reader_->status()); return; } auto result = BuildV2VarMaps();
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Aug 25 21:29:12 GMT 2023 - 5.5K bytes - Viewed (0) -
ci/official/envs/linux_arm64_cross_compile
source ci/official/envs/linux_arm64 TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config cross_compile_linux_arm64"
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jan 10 19:39:41 GMT 2024 - 904 bytes - Viewed (0) -
WORKSPACE
) http_archive( name = "rules_python", sha256 = "9d04041ac92a0985e344235f5d946f71ac543f1b1565f2cdbc9a2aaee8adf55b", strip_prefix = "rules_python-0.26.0", url = "https://github.com/bazelbuild/rules_python/releases/download/0.26.0/rules_python-0.26.0.tar.gz", ) # buildifier: disable=same-origin-load
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Fri Apr 05 22:27:48 GMT 2024 - 3K bytes - Viewed (2) -
ci/official/pycpp.sh
tfrun bazel build $TFCI_BAZEL_COMMON_ARGS --profile "$TFCI_OUTPUT_DIR/profile.json.gz" --config="${TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX}_pycpp_test" else tfrun bazel test $TFCI_BAZEL_COMMON_ARGS --profile "$TFCI_OUTPUT_DIR/profile.json.gz" --config="${TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX}_pycpp_test" fi # Note: the profile can be viewed by visiting chrome://tracing in a Chrome browser.
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 06 17:29:44 GMT 2024 - 1.3K bytes - Viewed (0) -
ci/official/envs/linux_arm64
# ============================================================================== TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config release_arm64_linux" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_arm64 # Note: this is not set to "--cpu", because that changes the package name # to tensorflow_cpu. These ARM builds are supposed to have the name "tensorflow" # despite lacking Nvidia CUDA support.
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 23:12:40 GMT 2024 - 1.5K bytes - Viewed (1) -
ci/official/requirements_updater/WORKSPACE
], ) http_archive( name = "rules_python", sha256 = "9d04041ac92a0985e344235f5d946f71ac543f1b1565f2cdbc9a2aaee8adf55b", strip_prefix = "rules_python-0.26.0", url = "https://github.com/bazelbuild/rules_python/releases/download/0.26.0/rules_python-0.26.0.tar.gz", ) # buildifier: disable=same-origin-load
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ci/official/envs/macos_x86_cross_compile
source ci/official/envs/macos_x86 TFCI_BAZEL_COMMON_ARGS="--repo_env=TF_PYTHON_VERSION=$TFCI_PYTHON_VERSION --config cross_compile_macos_x86" TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=cross_compile_macos_x86 TFCI_MACOS_CROSS_COMPILE_ENABLE=1 TFCI_MACOS_CROSS_COMPILE_SDK_DEST="tensorflow/tools/toolchains/cross_compile/cc/MacOSX.sdk"
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.github/ISSUE_TEMPLATE/tflite-converter-issue.md
- Model produces wrong results and/or has lesser accuracy. - Model produces correct results, but it is slower than expected. ### 4. (optional) RNN conversion support If converting TF RNN to TFLite fused RNN ops, please prefix [RNN] in the title. ### 5. (optional) Any other info / logs
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