@RunWith(JUnit4.class)

public final class NetworkMutationTest {
  private static final int NUM_TRIALS = 5;
  private static final int NUM_NODES = 20;
  private static final int NUM_EDGES = 100;
  private static final int NODE_POOL_SIZE = 1000; // must be >> NUM_NODES

  @Test
  public void directedNetwork() {
    testNetworkMutation(NetworkBuilder.directed());
  }

  @Test

  return op_->SetAttrTypeList(attr_name, values, num_values);
}
Status SetAttrBoolList(AbstractOperation* op_, const char* attr_name,
                       const unsigned char* values, int num_values,
                       ForwardOperation* forward_op_) {
  std::unique_ptr<bool[]> b(new bool[num_values]);
  for (int i = 0; i < num_values; ++i) {
    b[i] = values[i];
  }

}
Status TapeOperation::SetAttrShapeList(const char* attr_name,
                                       const int64_t** dims,
                                       const int* num_dims, int num_values) {
  std::unique_ptr<TensorShapeProto[]> proto(new TensorShapeProto[num_values]);
  for (int i = 0; i < num_values; ++i) {
    const auto num_dims_i = num_dims[i];

@RunWith(JUnit4.class)

public final class GraphMutationTest {
  private static final int NUM_TRIALS = 50;
  private static final int NUM_NODES = 100;
  private static final int NUM_EDGES = 1000;
  private static final int NODE_POOL_SIZE = 1000; // must be >> NUM_NODES

  @Test
  public void directedGraph() {
    testGraphMutation(GraphBuilder.directed());
  }

  @Test

  TFE_TensorHandle* retval;
  int num_retvals = 1;
  TFE_Execute(matmul.get(), &retval, &num_retvals, status.get());
  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());
  TFE_DeleteTensorHandle(retval);

  // Custom device: inputs in same custom device works.
  matmul.reset(MatMulOp(context.get(), hcustom0.get(), hcustom0.get()));
  num_retvals = 1;
  executed = false;

        final byte[] outData = new byte[num * 3 + lastBytes];
        for (int i = 0; i < num; i++) {
            decode(inData, i * 4, outData, i * 3);
        }
        switch (lastBytes) {
        case 1:
            decode1byte(inData, num * 4, outData, num * 3);
            break;
        case 2:
            decode2byte(inData, num * 4, outData, num * 3);
            break;
        default:

}

TEST(ExpiringLRUCacheTest, LookupOrCompute) {
  // max_age of 0 means we should always compute.
  uint64 num_compute_calls = 0;
  tf_gcs_filesystem::ExpiringLRUCache<int>::ComputeFunc compute_func =
      [&num_compute_calls](const string& key, int* value, TF_Status* status) {
        *value = num_compute_calls;
        num_compute_calls++;
        return TF_SetStatus(status, TF_OK, "");
      };

	for zb0001 > 0 {
		zb0001--
		field, err = dc.ReadMapKeyPtr()
		if err != nil {
			err = msgp.WrapError(err)
			return
		}
		switch msgp.UnsafeString(field) {
		case "Num":
			z.Num, err = dc.ReadInt()
			if err != nil {
				err = msgp.WrapError(err, "Num")
				return
			}
		case "String":
			z.String, err = dc.ReadString()
			if err != nil {
				err = msgp.WrapError(err, "String")
				return
			}
		default:

@RunWith(JUnit4.class)

public final class NetworkMutationTest {
  private static final int NUM_TRIALS = 5;
  private static final int NUM_NODES = 20;
  private static final int NUM_EDGES = 100;
  private static final int NODE_POOL_SIZE = 1000; // must be >> NUM_NODES

  @Test
  public void directedNetwork() {
    testNetworkMutation(NetworkBuilder.directed());
  }

  @Test

  int64_t num_elem_analytical = 1;
  auto num_dims_analytical = TF_NumDims(analytical_tensor);
  ASSERT_EQ(dims.size(), num_dims_analytical);
  for (int j = 0; j < num_dims_analytical; j++) {
    auto dim_analytical = TF_Dim(analytical_tensor, j);
    ASSERT_EQ(dims[j], dim_analytical);
    num_elem_analytical *= dim_analytical;
  }

  float* danalytical = new float[num_elem_analytical]{0};