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.github/ISSUE_TEMPLATE/tflite-other.md
Build/Install - Performance - Support - Feature Request - Documentation Feature Request - 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: markdown
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.github/bot_config.yml
* It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task. * All you need is a good internet connection and you are all set. * Try to build TF from sources by changing CPU optimization flags. *Please let us know if this helps.* windows_comment: >
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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
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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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CONTRIBUTING.md
you want to debug a kernel, you can compile specific files with `-g` using the `--per_file_copt` bazel option. For example, if you want to debug the Identity op, which are in files starting with `identity_op`, you can run ```bash bazel build --config=dbg --per_file_copt=+tensorflow/core/kernels/identity_op.*@-g //tensorflow/tools/pip_package:build_pip_package ```
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tensorflow/c/eager/gradients.h
// once unless the tape is persistent) 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. Status ComputeGradient( AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> targets, absl::Span<AbstractTensorHandle* const> sources,
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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/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/c_api.h
} TFE_ContextDevicePlacementPolicy; // LINT.ThenChange(//tensorflow/c/eager/immediate_execution_context.h) // Sets the default execution mode (sync/async). Note that this can be // overridden per thread using TFE_ContextSetExecutorForThread. TF_CAPI_EXPORT extern void TFE_ContextOptionsSetAsync(TFE_ContextOptions*, unsigned char enable);
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