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tensorflow/c/eager/gradient_checker.h
* parameter specified by `input_index`. * * I.e. if y = <output of the forward model> and w = inputs[input_index], * this will calculate dy/dw numerically. * * `use_function` indicates whether to use graph mode(true) or eager(false). * * `numerical_grad` is the pointer to the AbstractTensorHandle* which will * hold the numerical gradient data at the end of the function. */ Status CalcNumericalGrad(AbstractContext* ctx, Model forward,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 02:34:32 GMT 2020 - 1.8K bytes - Viewed (0) -
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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.github/bot_config.yml
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) -
ci/official/requirements_updater/README.md
`release_updater.sh` 5) Run the `updater.sh` shell script. \ If the base requirements file hasn't yet been updated to account for the new Python version, which will require different versions for at least some dependencies, it will need to be updated now, for the script to run successfully. 6) A new `requirements_lock_3_11.txt` file should appear under the root of the
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ci/official/containers/linux_arm64/builder.patchelf/build_patchelf.sh
mkdir -p /patchelf cd /patchelf echo deb-src http://ports.ubuntu.com/ubuntu-ports/ jammy universe>>/etc/apt/sources.list apt-get update apt-get -y build-dep patchelf/jammy apt-get -b source patchelf/jammy
Shell Script - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Sep 18 15:53:15 GMT 2023 - 1.2K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem_static.cc
#include "tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.h" #include "tensorflow/core/platform/status.h" namespace tensorflow { // Register the POSIX filesystems statically. // Return value will be unused bool StaticallyRegisterLocalFilesystems() { TF_FilesystemPluginInfo info; TF_InitPlugin(&info); Status status = filesystem_registration::RegisterFilesystemPluginImpl(&info); if (!status.ok()) {
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ci/official/utilities/cleanup_summary.sh
# and don't print duplicates awk '/Streaming build results to/ {print $NF}' "$TFCI_OUTPUT_DIR/script.log" | uniq } # Print out any ResultStore URLs for Bazel invocations' results. # Each failed target there will have its own representation, making failures # easier to find and read. function resultstore_extract { local \ XML_PATH="$TFCI_OUTPUT_DIR/Bazel_Test_and_Build_Results/sponge_log.xml" python3 \
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tensorflow/c/experimental/filesystem/plugins/gcs/expiring_lru_cache.h
/// `max_age` is also 0, the cache will not be populated). ExpiringLRUCache(uint64_t max_age, size_t max_entries, std::function<uint64_t()> timer_seconds = TF_NowSeconds) : max_age_(max_age), max_entries_(max_entries), timer_seconds_(timer_seconds) {} /// Insert `value` with key `key`. This will replace any previous entry with /// the same key.
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ci/official/wheel_test/update_requirements.sh
# ============================================================================== # script to run pip-compile for keras, tensorboard, estimator deps. # if there is a change in requirements.in then all lock files will be updated # accordingly. # -e: abort script if one command fails # -u: error if undefined variable used # -o pipefail: entire command fails if pipe fails. watch out for yes | ... # -o history: record shell history
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.github/workflows/release-branch-cherrypick.yml
# and click "Run Workflow." Leave "Use Workflow From" set to "master", then # input the branch name and paste the cherry-pick commit and click Run. A PR # will be created. name: Release Branch Cherrypick on: workflow_dispatch: inputs: # We use this instead of the "run on branch" argument because GitHub looks
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