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ci/official/envs/rbe
# This env is only valid when RBE is available on the selected platform, since # it enables a derived --config setting. If RBE is not available (i.e. there # is no --config setting), bazel would fail and quit. This script does a quick # check This script checks for such errors early if ! grep "rbe_$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX" .bazelrc; then cat <<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) -
tensorflow/c/experimental/gradients/nn_grad_test.cc
immediate_execution_ctx_.reset(ctx_raw); } // Computing numerical gradients with TensorFloat-32 is numerically // unstable. Some forward pass tests also fail with TensorFloat-32 due to // low tolerances enable_tensor_float_32_execution(false); } AbstractContextPtr immediate_execution_ctx_; GradientRegistry registry_; Status status_; public:
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 8.3K bytes - Viewed (0) -
.github/workflows/arm-cd.yml
permissions: contents: read jobs: build: if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks runs-on: [self-hosted, linux, ARM64] strategy: fail-fast: false matrix: pyver: ['3.9', '3.10', '3.11', '3.12'] steps: - name: Stop old running containers (if any) shell: bash run: |
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Mar 05 10:24:16 GMT 2024 - 3K bytes - Viewed (1) -
.github/bot_config.yml
*TensorFlow release binaries version 1.6 and higher are prebuilt with AVX instruction sets.* Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load. Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below: * Try Google Colab to use TensorFlow.
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Oct 17 11:48:07 GMT 2023 - 4K bytes - Viewed (0) -
.github/workflows/arm-ci-extended.yml
permissions: contents: read jobs: build: if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks runs-on: [self-hosted, linux, ARM64] strategy: fail-fast: false matrix: pyver: ['3.9', '3.10', '3.11', '3.12'] steps: - name: Stop old running containers (if any) shell: bash run: |
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Mar 05 10:24:16 GMT 2024 - 2.6K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/array_grad_test.cc
immediate_execution_ctx_.reset(ctx_raw); } // Computing numerical gradients with TensorFloat-32 is numerically // unstable. Some forward pass tests also fail with TensorFloat-32 due to // low tolerances enable_tensor_float_32_execution(false); } AbstractContextPtr immediate_execution_ctx_; GradientRegistry registry_; Status status_; public:
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
tensorflow/api_template.__init__.py
else: importlib.import_module("keras.src.optimizers") except (ImportError, AttributeError): pass del importlib # Delete modules that should be hidden from dir(). # Don't fail if these modules are not available. # For e.g. this file will be originally placed under tensorflow/_api/v1 which # does not have "python", "core" directories. Then, it will be copied
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 05 06:27:59 GMT 2024 - 6.7K bytes - Viewed (3) -
ci/official/wheel_test/test_import_api_packages.py
__import__(short_package_name) except ImportError: logging.exception("error importing %s", short_package_name) failed_packages.append(package_name) if failed_packages: self.fail( "Failed to import" f" {len(failed_packages)}/{len(self.api_packages_v2)} packages" f" {version}:\n{failed_packages}" ) logging.info("Import of packages was successful.")
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Sep 13 15:52:07 GMT 2023 - 3.3K bytes - Viewed (0) -
tensorflow/api_template_v1.__init__.py
if _os.getenv("TF_PLUGGABLE_DEVICE_LIBRARY_PATH", ""): _ll.load_pluggable_device_library( _os.getenv("TF_PLUGGABLE_DEVICE_LIBRARY_PATH") ) # Delete modules that should be hidden from dir(). # Don't fail if these modules are not available. # For e.g. this file will be originally placed under tensorflow/_api/v1 which # does not have "python", "core" directories. Then, it will be copied
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Jan 23 02:14:00 GMT 2024 - 7.4K bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/squash_testlogs.py
) p.text += "\n probably caused the Kokoro invocation to fail." else: p.text += ( "\n Since there were not three failures, this is probably a flake." ) p.text += ( "\n Flakes make this pkg/pip_and_nonpip_tests target show " "as failing," ) p.text += "\n but do not make the Kokoro invocation fail." os.makedirs(os.path.dirname(sys.argv[2]), exist_ok=True)
Python - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Sep 18 19:00:37 GMT 2023 - 4.8K bytes - Viewed (0)