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.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 Apr 23 12:39:09 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 Apr 23 12:39:09 GMT 2024 - Last Modified: Tue Oct 17 11:48:07 GMT 2023 - 4K bytes - Viewed (0) -
tensorflow/c/env_test.cc
TF_FileStat(filepath.c_str(), &stats, s); ASSERT_EQ(stats.length, strlen(data)); ASSERT_FALSE(stats.is_directory); ASSERT_GT(stats.mtime_nsec, 0); // Trying to delete a non-empty directory should fail. TF_DeleteDir(dirpath.c_str(), s); ASSERT_NE(TF_OK, TF_GetCode(s)) << "TF_DeleteDir unexpectedly succeeded with a non-empty directory " << dirpath; TF_DeleteFile(filepath.c_str(), s);
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Dec 10 20:52:48 GMT 2018 - 4.2K 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) -
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
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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 23 12:39:09 GMT 2024 - Last Modified: Tue Mar 05 06:27:59 GMT 2024 - 6.7K bytes - Viewed (3) -
CONTRIBUTING.md
your response for more than 2 weeks. **4. Approved** - Once the PR is approved, it gets `kokoro:force-run` label applied and it initiates CI/CD tests. - We can't move forward if these tests fail. - In such situations, we may request you to make further changes to your PR for the tests to pass. - Once the tests pass, we now bring all the code into the internal code base, using a job called "copybara".
Plain Text - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Mar 21 11:45:51 GMT 2024 - 15.6K 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 23 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/code_check_full.bats
if [[ -s $BATS_TEST_TMPDIR/actual_missing_licenses ]]; then echo "Please include the missing licenses for the following packages in $LICENSES_TARGET:" cat $BATS_TEST_TMPDIR/actual_missing_licenses fi # Fail if either of the two "extras" or "missing" lists are present. If so, # then the user will see the above error messages. [[ ! -s $BATS_TEST_TMPDIR/actual_extra_licenses ]] && [[ ! -s $BATS_TEST_TMPDIR/actual_missing_licenses ]] }
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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)