# A shared object which includes registration mechanisms for ops and
# kernels. Does not include the implementations of any ops or kernels. Instead,
# the library which loads libtensorflow_framework.so
# (e.g. _pywrap_tensorflow_internal.so for Python, libtensorflow.so for the C
# API) is responsible for registering ops with libtensorflow_framework.so. In
# addition to this core set of ops, user libraries which are loaded (via

				"application/vnd.openxmlformats-officedocument.wordprocessingml.template",
				"application/vnd.osa.netdeploy",
				"application/vnd.osgi.bundle",
				"application/vnd.osgi.dp",
				"application/vnd.otps.ct-kip+xml",
				"application/vnd.palm",
				"application/vnd.paos.xml",
				"application/vnd.pg.format",
				"application/vnd.pg.osasli",
				"application/vnd.piaccess.application-licence",

      ASSERT_EQ(expected[i], data[i]) << "Different data at index " << i;
    }
  }

  std::vector<TF_Output> ToOutput(const std::vector<TF_Operation*> ops) {
    std::vector<TF_Output> out;
    for (auto op : ops) {
      out.push_back({op, 0});
    }
    return out;
  }

  void Define(int num_opers, const std::vector<TF_Operation*>& opers,

// --------------------------------------------------------------------------
// Load plugins containing custom ops and kernels

// TF_Library holds information about dynamically loaded TensorFlow plugins.
typedef struct TF_Library TF_Library;

// Load the library specified by library_filename and register the ops and
// kernels present in that library.
//

    typedef tensorflow::protobuf::RepeatedPtrField<tensorflow::OpDef> OpDefs;
    const OpDefs& ops = op_list.op();
    bool found = std::find_if(ops.begin(), ops.end(),
                              [](const tensorflow::OpDef& op_def) {
                                return op_def.name() == "TestCApi";
                              }) != ops.end();
    EXPECT_TRUE(found);
    TF_DeleteBuffer(op_list_buffer);
  }
}

				protocol = fmt.Sprintf("/%s", port.Protocol)
			}
			ports = append(ports, fmt.Sprintf("%d%s (%s)", port.ContainerPort, protocol, container.Name))
		}
		// Ref: https://istio.io/latest/docs/ops/deployment/requirements/#pod-requirements
		if container.Name != "istio-proxy" && container.Name != "istio-operator" {
			if container.SecurityContext != nil && container.SecurityContext.RunAsUser != nil {

	VREV32	V5.B16, V5.B16                  // a508206e
	VREV64	V2.S2, V3.S2                    // 4308a00e
	VREV64	V2.S4, V3.S4                    // 4308a04e

// logical ops
//
// make sure constants get encoded into an instruction when it could
	AND	R1@>33, R2
	AND	$(1<<63), R1                        // AND	$-9223372036854775808, R1       // 21004192

	SLL.S	$31, R5              // 855fb0e1
	SLL	R5, R6, R7           // 1675a0e1
	SLL.S	R5, R6, R7           // 1675b0e1
	SLL	R5, R7               // 1775a0e1
	SLL.S	R5, R7               // 1775b0e1

// Ops with zero shifts should encode as left shifts
	ADD	R0<<0, R1, R2	     // 002081e0
	ADD	R0>>0, R1, R2	     // 002081e0
	ADD	R0->0, R1, R2	     // 002081e0
	ADD	R0@>0, R1, R2	     // 002081e0

  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  if (forward_input) {
    TFE_DeleteTensorHandle(n);
  }

  int num_retvals = 1;
  if (async) {
    // Enqueue dummy ops so we backlog async execution & actually test async.
    // This is usually unnecessary, but we've experienced the occasional test
    // failure when testing async mode with no explicit forwarding.

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