Model BuildGradModel(Model forward, GradientRegistry registry);

}  // namespace internal
}  // namespace gradients
}  // namespace tensorflow

    return ptr->getKind() == kGraph;
  }

 private:
  core::RefCountPtr<FunctionRecord> func_record_;
};
}  // namespace graph
}  // namespace tracing
}  // namespace tensorflow

  GetFunctionRecord() = 0;

 private:
  const AbstractFunctionKind kind_;
};

using AbstractFunctionPtr =
    tensorflow::core::IntrusivePtr<tensorflow::AbstractFunction>;

}  // namespace tensorflow

namespace tensorflow {

DEFINE_CONVERSION_FUNCTIONS(tensorflow::ImmediateExecutionOperation, TFE_Op);
DEFINE_CONVERSION_FUNCTIONS(tensorflow::ImmediateExecutionOperation*, TFE_Op*);

}  // namespace tensorflow

// Returns true only if `entry` points to an entry other than `.` or `..`.
//
// This is a filter for `scandir`.
int RemoveSpecialDirectoryEntries(const struct dirent* entry);

}  // namespace tf_posix_filesystem

                            TFE_TensorHandle);
DEFINE_CONVERSION_FUNCTIONS(tensorflow::ImmediateExecutionTensorHandle*,
                            TFE_TensorHandle*);

}  // namespace tensorflow

Input language:

The assembler uses mostly the same syntax for all architectures,
the main variation having to do with addressing modes. Input is
run through a simplified C preprocessor that implements #include,
#define, #ifdef/endif, but not #if or ##.

For more information, see https://golang.org/doc/asm.
*/

void SetOpAttrValueScalar(TFE_Context* ctx, TFE_Op* op,
                          const tensorflow::AttrValue& default_value,
                          const char* attr_name, TF_Status* status);
}  // namespace tensorflow

  #define kSecKeyAlgorithmECDSASignatureDigestX962SHA1 foo()
  static SecKeyAlgorithm foo(void){return NULL;}
#endif
*/
import "C"
import (
	"fmt"
	"testing"
)

var _ C.CFStringRef

func f1() {
	C.SecKeyCreateSignature(0, C.kSecKeyAlgorithmECDSASignatureDigestX962SHA1, 0, nil)
}

func f2(e C.CFErrorRef) {

                         int input_index, bool use_function,
                         AbstractTensorHandle** numerical_grad);

}  // namespace gradients
}  // namespace tensorflow