TF_Operation* const3;
    if (grad_inputs_provided) {
      const float const3_val[] = {1.0, 1.0, 1.0, 1.0};
      const3 = FloatConst2x2(expected_graph_, s_, const3_val, "GradInputs");
    } else {
      const3 = OnesLike(expected_graph_, s_, matmul, "gradients/OnesLike");
    }

    TF_Operation* matmul1 = MatMul(expected_graph_, s_, const3, const1,

after touch\nconst SWIPE_THRESHOLD = 40\n\nconst CLASS_NAME_CAROUSEL = 'carousel'\nconst CLASS_NAME_ACTIVE = 'active'\nconst CLASS_NAME_SLIDE = 'slide'\nconst CLASS_NAME_RIGHT = 'carousel-item-right'\nconst CLASS_NAME_LEFT = 'carousel-item-left'\nconst CLASS_NAME_NEXT = 'carousel-item-next'\nconst CLASS_NAME_PREV = 'carousel-item-prev'\nconst CLASS_NAME_POINTER_EVENT = 'pointer-event'\n\nconst DIRECTION_NEXT = 'next'\nconst DIRECTION_PREV = 'prev'\nconst DIRECTION_LEFT = 'left'\nconst DIRECTION_RIGHT...

                                                   const char* attr_name,
                                                   const void* const* values,
                                                   const size_t* lengths,
                                                   int num_values);
TF_CAPI_EXPORT extern void TFE_OpSetAttrIntList(TFE_Op* op,
                                                const char* attr_name,

      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;

pkg math (linux-arm), const MaxInt = 2147483647
pkg math (linux-arm), const MaxUint = 4294967295
pkg math (linux-arm), const MinInt = -2147483648
pkg math (linux-arm-cgo), const MaxInt = 2147483647
pkg math (linux-arm-cgo), const MaxUint = 4294967295
pkg math (linux-arm-cgo), const MinInt = -2147483648
pkg math (netbsd-386), const MaxInt = 2147483647
pkg math (netbsd-386), const MaxUint = 4294967295

-	  ((const char *) (src))[2], ((const char *) (src))[3],		      \
-	  ((const char *) (src))[4], ((const char *) (src))[5] } }),	      \
-     __extension__ ((__STRING2_COPY_ARR7)				      \
-      { { ((const char *) (src))[0], ((const char *) (src))[1],		      \
-	  ((const char *) (src))[2], ((const char *) (src))[3],		      \
-	  ((const char *) (src))[4], ((const char *) (src))[5],		      \

getOffsetRectRelativeToArbitraryNode(children, parent, fixedPosition = false) {\n  const isIE10 = runIsIE(10);\n  const isHTML = parent.nodeName === 'HTML';\n  const childrenRect = getBoundingClientRect(children);\n  const parentRect = getBoundingClientRect(parent);\n  const scrollParent = getScrollParent(children);\n\n  const styles = getStyleComputedProperty(parent);\n  const borderTopWidth = parseFloat(styles.borderTopWidth);\n  const borderLeftWidth = parseFloat(styles.borderLeftWidth);\n\n  // In cases...

  virtual absl::Status SetAttrInt(const char* attr_name, int64_t value) = 0;
  virtual absl::Status SetAttrFloat(const char* attr_name, float value) = 0;
  virtual absl::Status SetAttrBool(const char* attr_name, bool value) = 0;
  virtual absl::Status SetAttrType(const char* attr_name, DataType value) = 0;
  virtual absl::Status SetAttrShape(const char* attr_name, const int64_t* dims,
                                    const int num_dims) = 0;

====================================================\n */\n\nconst NAME = 'CardRefresh'\nconst DATA_KEY = 'lte.cardrefresh'\nconst EVENT_KEY = `.${DATA_KEY}`\nconst JQUERY_NO_CONFLICT = $.fn[NAME]\n\nconst EVENT_LOADED = `loaded${EVENT_KEY}`\nconst EVENT_OVERLAY_ADDED = `overlay.added${EVENT_KEY}`\nconst EVENT_OVERLAY_REMOVED = `overlay.removed${EVENT_KEY}`\n\nconst CLASS_NAME_CARD = 'card'\n\nconst SELECTOR_CARD = `.${CLASS_NAME_CARD}`\nconst SELECTOR_DATA_REFRESH = '[data-card-widget=\"card-refresh\"]'\n\nconst...

    const TF_Operation* const* opers, int ninputs, const TF_Output* inputs,
    int noutputs, const TF_Output* outputs, const char* const* output_names,
    int ncontrol_outputs, const TF_Operation* const* control_outputs,
    const char* const* control_output_names, const TF_FunctionOptions* opts,
    const char* description, TF_Status* status) {
  tensorflow::mutex_lock l(fn_body->mu);

  // Process inputs.