$0x1b0000001b000000 DATA ·rcon+0x30(SB)/8, $0x0d0e0f0c0d0e0f0c // MASK DATA ·rcon+0x38(SB)/8, $0x0d0e0f0c0d0e0f0c // MASK DATA ·rcon+0x40(SB)/8, $0x0000000000000000 DATA ·rcon+0x48(SB)/8, $0x0000000000000000 GLOBL ·rcon(SB), RODATA, $80 #ifdef GOARCH_ppc64le # ifdef GOPPC64_power9 #define P8_LXVB16X(RA,RB,VT) LXVB16X (RA+RB), VT #define P8_STXVB16X(VS,RA,RB) STXVB16X VS, (RA+RB) #define XXBRD_ON_LE(VA,VT) XXBRD VA, VT #define SETUP_ESPERM(rtmp) # else // On POWER8/ppc64le, emulate the POWER9 instructions...

    tensorflow::FunctionDef fdef;
    ASSERT_TRUE(GetFunctionDef(func_, &fdef));
    VerifyFDefNodes(fdef, nodes);
    VerifyFDefInputs(fdef, inputs);
    VerifyFDefOutputs(fdef, outputs);
    VerifyFDefEdges(fdef, e_edges, c_edges, is_exact_edges);
  }

  // Serialize func_ to fdef and import it back
  void Reincarnate() {
    // func_ -> fdef
    tensorflow::FunctionDef fdef;

                              TF_Status* status) {
  status->status = MessageToBuffer(func->record->fdef(), output_func_def);
}

TF_Function* TF_FunctionImportFunctionDef(const void* proto, size_t proto_len,
                                          TF_Status* status) {
  tensorflow::FunctionDef fdef;
  bool success = fdef.ParseFromArray(proto, proto_len);
  if (!success) {
    status->status = InvalidArgument(

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

#ifndef TENSORFLOW_C_CONVERSION_MACROS_H_
#define TENSORFLOW_C_CONVERSION_MACROS_H_

#define DEFINE_CONVERSION_FUNCTIONS(cpp_impl, wrapper)                         \

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

#ifndef TENSORFLOW_C_C_OP_REQUIRES_H_
#define TENSORFLOW_C_C_OP_REQUIRES_H_

#include "tensorflow/core/platform/macros.h"

namespace tensorflow {

// Convenience macros for asserting and handling exceptional conditions, for

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

#ifndef TENSORFLOW_C_CHECKPOINT_READER_H_
#define TENSORFLOW_C_CHECKPOINT_READER_H_

#include <memory>
#include <string>

#include "tensorflow/c/tf_status_helper.h"
#include "tensorflow/core/framework/tensor_shape.h"

        text_proto);
    return {};
  }
  std::vector<UniqueFuncPtr> ret;
  for (const FunctionDef& fdef : fdef_lib.function()) {
    // Make a copy so that we can mutate it.
    FunctionDef fdef_to_load = fdef;
    if (mutate_proto_func) {
      (*mutate_proto_func)(&fdef_to_load);
    }
    VLOG(1) << "Adding func to graph: " << fdef_to_load.DebugString();

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

#ifndef TENSORFLOW_C_C_TEST_UTIL_H_
#define TENSORFLOW_C_C_TEST_UTIL_H_

#include "tensorflow/c/c_api.h"

#include <vector>
#include "tensorflow/core/framework/attr_value.pb.h"

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

#ifndef TENSORFLOW_C_C_API_INTERNAL_H_
#define TENSORFLOW_C_C_API_INTERNAL_H_

#include <list>
#include <set>
#include <string>
#include <unordered_map>
#include <vector>

#include "tensorflow/c/c_api.h"

		for delKey := range strings.FieldsSeq(inputs[1]) {
			_, ok := currKVS.Lookup(delKey)
			if !ok {
				return Error[ErrConfigNotFound]("key %s doesn't exist", delKey)
			}
			defVal, isDef := defKVS.Lookup(delKey)
			if isDef {
				currKVS.Set(delKey, defVal)
			} else {
				currKVS.Delete(delKey)
			}
		}
		c[subSys][tgt] = currKVS
	} else {
		delete(c[subSys], tgt)
	}
	return nil
}