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.github/ISSUE_TEMPLATE/tflite-other.md
compiling from source placeholder: validations: required: false - type: input id: Compiler attributes: label: GCC/Compiler version description: if compiling from source placeholder: validations: required: false - type: input id: Cuda attributes: label: CUDA/cuDNN version description: placeholder: validations: required: false
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tensorflow/c/eager/tfe_monitoring_internal.h
struct TFE_MonitoringCounter { template <typename... LabelDesc> TFE_MonitoringCounter(const char* name, const char* description, LabelDesc&&... label) { counter = absl::WrapUnique(tensorflow::monitoring::Counter<NumLabels>::New( name, description, label...)); } std::unique_ptr<tensorflow::monitoring::Counter<NumLabels>> counter; }; struct TFE_MonitoringCounter0 : TFE_MonitoringCounter<0> {
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.github/workflows/arm-ci.yml
jobs: build: # Don't do this in forks, and if labeled, only for 'kokoro:force-run' if: github.repository == 'tensorflow/tensorflow' && (github.event.action != 'labeled' || (github.event.action == 'labeled' && github.event.label.name == 'kokoro:force-run')) runs-on: [self-hosted, linux, ARM64] strategy: matrix: pyver: ['3.10'] steps: - name: Stop old running containers (if any) shell: bash
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.github/ISSUE_TEMPLATE/tensorflow_issue_template.yaml
attributes: label: Python version placeholder: e.g., 3.9 - type: input id: Bazel attributes: label: Bazel version description: If compiling from source - type: input id: Compiler attributes: label: GCC/compiler version description: If compiling from source - type: input id: Cuda attributes: label: CUDA/cuDNN version - type: input id: Gpu
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tensorflow/c/experimental/gradients/nn_grad_test.cc
status_ = TestTensorHandleWithDims<float, TF_FLOAT>( immediate_execution_ctx_.get(), X_vals, X_dims, 2, &X_raw); ASSERT_EQ(errors::OK, status_.code()) << status_.message(); X.reset(X_raw); } // Label int32_t Y_vals[] = {1, 0, 1}; int64_t Y_dims[] = {3}; AbstractTensorHandlePtr Y; { AbstractTensorHandle* Y_raw; status_ = TestTensorHandleWithDims<int32_t, TF_INT32>(
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tensorflow/c/eager/c_api_experimental_reader.h
// "description", "label"); // and then incremented that counter for various values of label: // streamz->GetCell("label-value")->IncrementBy(1); // // The test code can then read and test the value of that counter: // // auto* reader = TFE_MonitoringNewCounterReader("name"); // test(); // int64_t value = TFE_MonitoringReadCounter1(reader, "label-value"); // Opaque handle to a reader.
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.github/workflows/trusted_partners.js
assignees.push('rino20', 'yyoon', 'lenscloth'); } const resp_label = await github.rest.issues.addLabels({ issue_number: context.issue.number, owner: context.repo.owner, repo: context.repo.repo, labels: labels }); if (resp_label.status >= 400) { console.log(resp_label); throw "Error adding labels to PR"; } if (assignees.length > 0) {
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tensorflow/c/eager/c_api_experimental_reader_test.cc
} TEST(CAPI, MonitoringCellReader1) { auto counter_name = "test/counter1"; auto label_name = "test/label"; auto* counter = CreateCounter1(counter_name, label_name); auto* reader = TFE_MonitoringNewCounterReader(counter_name); IncrementCounter1(counter, label_name); int64_t actual = TFE_MonitoringReadCounter1(reader, label_name); CHECK_EQ(actual, 1); }
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.github/workflows/stale-issues.yml
#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 close-issue-reason: completed # List of labels to remove when issues/PRs unstale.
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tensorflow/c/eager/c_api_experimental.h
// Retrieves the current value of the cell. TF_CAPI_EXPORT extern int64_t TFE_MonitoringCounterCellValue( TFE_MonitoringCounterCell* cell); // APIs for Counter without label. typedef struct TFE_MonitoringCounter0 TFE_MonitoringCounter0; // Returns a new Counter metric object. The caller should manage lifetime of // the object. Using duplicate metric name will crash the program with fatal // error.
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