pkg go/types, const Float32 BasicKind
pkg go/types, const Float64 = 14
pkg go/types, const Float64 BasicKind
pkg go/types, const Int = 2
pkg go/types, const Int BasicKind
pkg go/types, const Int16 = 4
pkg go/types, const Int16 BasicKind
pkg go/types, const Int32 = 5
pkg go/types, const Int32 BasicKind
pkg go/types, const Int64 = 6
pkg go/types, const Int64 BasicKind
pkg go/types, const Int8 = 3
pkg go/types, const Int8 BasicKind

}

void TF_AttrBuilderSetTypeList(TF_AttrBuilder* builder, const char* attr_name,
                               const TF_DataType* values, int num_values) {
  auto iter = builder->attr_names.insert(attr_name).first;
  builder->Set(*iter, tensorflow::gtl::ArraySlice<const tensorflow::DataType>(
                          reinterpret_cast<const tensorflow::DataType*>(values),
                          num_values));
}

                               const void* const* values, const size_t* lengths,
                               int num_values, ForwardOperation*);
absl::Status SetAttrFloatList(AbstractOperation*, const char* attr_name,
                              const float* values, int num_values,
                              ForwardOperation*);
absl::Status SetAttrIntList(AbstractOperation*, const char* attr_name,

  // that the argument need to be handled by a custom device.
  virtual bool HasCustomDeviceInput() const = 0;

  virtual const tensorflow::OpDef* OpDef() const = 0;

  virtual absl::Status InputLength(const char* input_name, int* length) = 0;
  virtual absl::Status OutputLength(const char* output_name, int* length) = 0;

  // Set stack trace to be used for potential async error reporting.

                          const char* name = "feed",
                          TF_DataType dtype = TF_INT32,
                          const std::vector<int64_t>& dims = {});

TF_Operation* Const(TF_Tensor* t, TF_Graph* graph, TF_Status* s,
                    const char* name = "const");

TF_Operation* ScalarConst(bool v, TF_Graph* graph, TF_Status* s,
                          const char* name = "scalar");

      const FunctionDef& fdef, const StackTracesMap& stack_traces) = 0;

  // Find and return a added function by its name.
  virtual const FunctionDef* FindFunctionDef(const string& name) const = 0;

  // Find and return a function record added by its name.
  virtual core::RefCountPtr<FunctionRecord> FindRecord(
      const string& name) const = 0;

                                  const char* label1, const char* label2);

// APIs for String Gauge with 3 labels.
typedef struct TFE_MonitoringStringGauge3 TFE_MonitoringStringGauge3;
TF_CAPI_EXPORT extern TFE_MonitoringStringGauge3* TFE_MonitoringNewStringGauge3(
    const char* name, TF_Status* out_status, const char* description,
    const char* label1, const char* label2, const char* label3);

TF_CAPI_EXPORT extern TF_CheckpointReader* TF_NewCheckpointReader(
    const char* filename, TF_Status* status);
TF_CAPI_EXPORT extern void TF_DeleteCheckpointReader(
    TF_CheckpointReader* reader);
TF_CAPI_EXPORT extern int TF_CheckpointReaderHasTensor(
    TF_CheckpointReader* reader, const char* name);
// Get the variable name at the given index
TF_CAPI_EXPORT extern const char* TF_CheckpointReaderGetVariable(

    });
    const progressLiteralStart = "---> 100%";
    const promptLiteralStart = "$ ";
    const customPromptLiteralStart = "# ";
    const termynalActivateClass = "termy";
    let termynals = [];

    function createTermynals() {
        document
            .querySelectorAll(`.${termynalActivateClass} .highlight code`)
            .forEach(node => {
                const text = node.textContent;

pkg math/bits (linux-386-cgo), const UintSize = 32
pkg math/bits (linux-amd64), const UintSize = 64
pkg math/bits (linux-amd64-cgo), const UintSize = 64
pkg math/bits (linux-arm), const UintSize = 32
pkg math/bits (linux-arm-cgo), const UintSize = 32
pkg math/bits (netbsd-386), const UintSize = 32
pkg math/bits (netbsd-386-cgo), const UintSize = 32
pkg math/bits (netbsd-amd64), const UintSize = 64
pkg math/bits (netbsd-amd64-cgo), const UintSize = 64