Output x = ops::MatMul(root.WithOpName("test/x"), a, b);
  Output y = ops::Size(root.WithOpName("test/y"), x);
  Output z = ops::Add(root.WithOpName("test/z"), y, y);

  std::unique_ptr<Graph> graph(new Graph(OpRegistry::Global()));
  TF_ASSERT_OK(root.ToGraph(graph.get()));

  // Ensure that the "Size" op can only be clustered with either the producer or
  // consumer by putting them on different devices.

 *
 * ```java
 * HttpUrl url = HttpUrl.parse("https://twitter.com/search?q=cute%20%23puppies&f=images");
 * for (int i = 0, size = url.querySize(); i < size; i++) {
 *   System.out.println(url.queryParameterName(i) + ": " + url.queryParameterValue(i));
 * }
 * ```
 *
 * which prints:
 *
 * ```
 * q: cute #puppies
 * f: images
 * ```
 *

                     llvm::ArrayRef<Value> outputs, OpBuilder* builder) {
  llvm::SmallVector<Type, 4> operand_types;
  operand_types.reserve(inputs.size());
  for (Value v : inputs) operand_types.emplace_back(v.getType());
  llvm::SmallVector<Type, 4> output_types;
  output_types.reserve(outputs.size());
  for (Value v : outputs) output_types.emplace_back(v.getType());

  auto func_type = builder->getFunctionType(operand_types, output_types);

	PartIndices        [][]byte          `json:"PartIndices,omitempty" msg:"PartIdx,omitempty"`  // Part Indexes (compression)
	Size               int64             `json:"Size" msg:"Size"`                                // Object version size
	ModTime            int64             `json:"MTime" msg:"MTime"`                              // Object version modified time

      {static_cast<int64_t>(values.size())}, builder->getIntegerType(64));
  return DenseIntElementsAttr::get(ty, values);
}

// Returns a 1-d i64 elements attribute populated with numbers from start to
// end, excluding.
static DenseIntElementsAttr GetI64ElementsAttrForSeq(int start, int end,
                                                     Builder *builder) {
  int size = end - start;

  SmallVector<int64_t, 4> vals;

    self._output_saved_model_path_2 = self.create_tempdir('output2').full_path

  def _get_dir_size(self, path: str = '.'):
    """Get the total size of files and sub-directories under the path.

    Args:
      path: Path of a directory or a file to calculate the total size.

    Returns:
      Total size of the directory or a file.
    """
    total = 0
    for root, _, files in os.walk(path):
      for filename in files:

				err = msgp.WrapError(err)
				return
			}
		}
	}
	return
}

// EncodeMsg implements msgp.Encodable
func (z *BucketReplicationStat) EncodeMsg(en *msgp.Writer) (err error) {
	// map header, size 14
	// write "ReplicatedSize"
	err = en.Append(0x8e, 0xae, 0x52, 0x65, 0x70, 0x6c, 0x69, 0x63, 0x61, 0x74, 0x65, 0x64, 0x53, 0x69, 0x7a, 0x65)
	if err != nil {
		return
	}
	err = en.WriteInt64(z.ReplicatedSize)

func (z *MRFReplicateEntries) MarshalMsg(b []byte) (o []byte, err error) {
	o = msgp.Require(b, z.Msgsize())
	// map header, size 2
	// string "e"
	o = append(o, 0x82, 0xa1, 0x65)
	o = msgp.AppendMapHeader(o, uint32(len(z.Entries)))
	for za0001, za0002 := range z.Entries {
		o = msgp.AppendString(o, za0001)
		// map header, size 3
		// string "b"
		o = append(o, 0x83, 0xa1, 0x62)
		o = msgp.AppendString(o, za0002.Bucket)
		// string "o"

        mlir::dyn_cast<RankedTensorType>(input.getType());
    // Only rank size four input will be only available by the tf.Conv2D
    // operator verification.
    if (!input_type || input_type.isDynamicDim(3)) {
      return failure();
    }
    // Check if the given op is based on grouped convolution.
    // Dim size zero will be verified by the tf.Conv2D operator verification.

	}
	checkMode(t, f.Name(), fm)
}

func checkSize(t *testing.T, f *File, size int64) {
	t.Helper()
	dir, err := f.Stat()
	if err != nil {
		t.Fatalf("Stat %q (looking for size %d): %s", f.Name(), size, err)
	}
	if dir.Size() != size {
		t.Errorf("Stat %q: size %d want %d", f.Name(), dir.Size(), size)
	}
}

func TestFTruncate(t *testing.T) {
	t.Parallel()