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.github/workflows/stale-issues.yml
exempt-pr-labels: "override-stale" #Limit the No. of API calls in one run default value is 30. operations-per-run: 1000 days-before-issue-stale: 7 days-before-issue-close: 7 stale-issue-label: "stale" # reason for closed the issue default value is not_planned
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu Nov 23 20:04:38 GMT 2023 - 4.1K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/BUILD
licenses = ["notice"], ) # Filesystem implementation for GCS environments tf_cc_shared_object( name = "gcs_filesystem", framework_so = [], linkstatic = False, per_os_targets = 1, visibility = ["//visibility:public"], deps = [":gcs_filesystem_impl"], ) # The real implementation of the filesystem. cc_library( name = "gcs_filesystem_impl",
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.github/workflows/update-rbe.yml
map sigbuild-r2.17-clang-python3.11 2.17-python3.11 map sigbuild-r2.17-clang-python3.12 2.17-python3.12 - name: Create Pull Request with changes uses: peter-evans/create-pull-request@2b011faafdcbc9ceb11414d64d0573f37c774b04 # v4.2.3 with: title: Update the RBE images to the latest container versions committer: TensorFlow Release Automation <******@****.***>
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.bazelrc
# Users can still include debug info for a specific kernel, e.g. with: # --config=dbg --per_file_copt=+tensorflow/core/kernels/identity_op.*@-g # Since this .bazelrc file is synced between the tensorflow/tensorflow repo and # the openxla/xla repo, also include debug info for files under xla/. build:dbg --per_file_copt=+.*,-tensorflow.*,-xla.*@-g0 build:dbg --per_file_copt=+tensorflow/core/kernels.*@-g0
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tensorflow/c/eager/tape.h
// once) and produces the gradient of the target tensors with respect to the // source tensors. The output gradients are used if not empty and not // null. The result is populated with one tensor per target element. // When running backward functions, builds zeros-like tensors for // incoming grads which are nullptrs, unless `build_default_zeros_grads` // is set to false. Status ComputeGradient(
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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
TF_Status* status) const { absl::optional<std::vector<std::unique_ptr<ParallelTensor>>> result; // Compute per-device per-output tensors std::vector<std::vector<TensorHandlePtr>> per_device_output_tensors; per_device_output_tensors.reserve(underlying_devices_.size()); int first_op_output_count = 0; StatusPtr first_bad_status(nullptr);
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tensorflow/c/eager/parallel_device/parallel_device_lib.h
} // Takes a description of a single operation being executed on the // ParallelDevice, and in turn runs one operation per component device with // its corresponding inputs from the input ParallelTensors. Wraps the // resulting per-device and per-output TFE_TensorHandles into one // ParallelTensor per output of the original operation. // // Attributes are forwarded to executed operations unmodified. //
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.github/ISSUE_TEMPLATE/tensorflow_issue_template.yaml
- Documentation Bug - Others validations: required: true - type: markdown attributes: value: | Please make sure that this is a bug. As per our [GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md), we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. - type: dropdown id: tf-nightly
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tensorflow/c/eager/parallel_device/parallel_device.h
// "/job:localhost/replica:0/task:0/device:GPU:1"} // Then executing an operation on CUSTOM:0 will execute it on GPU:0 and GPU:1. // // Implicit copies onto `device_name` are allowed, replicating the value once // per device in `underlying_devices`. Implicit copies off of the device throw // an error. // // All component tensors must have the same dtype. Currently they must also have
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tensorflow/c/eager/parallel_device/parallel_device.cc
// or consider other ways of packing/unpacking parallel tensors. if (operation_name == std::string("TPUReplicatedInput")) { // Special-cased operation for packing per-device tensors into one parallel // tensor. if (inputs.size() != parallel_device.num_underlying_devices()) { std::string message(absl::StrCat( "The parallel device ", parallel_device_name, " expected ",
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