if err != nil {
			fmt.Printf("unreadable on source: %s (%s)\n", srcCtnt.Key, err)
			sourceFailed = true
		} else if srcSize != srcCtnt.Size {
			fmt.Printf("unreadable on source - size differs upon read: %s\n", srcCtnt.Key)
			sourceFailed = true
		}
	}()
	go func() {
		defer wg.Done()
		tgtSize, err := io.Copy(tgtSha256, tobj)
		if err != nil {
			fmt.Printf("unreadable on target: %s (%s)\n", tgtCtnt.Key, err)

		"Invalid console value",
		"Please check the passed value",
		"Environment can only accept `on` and `off` values. To disable Console access, set this value to `off`",
	)

	ErrInvalidFSOSyncValue = newErrFn(
		"Invalid O_SYNC value",
		"Please check the passed value",
		"Can only accept `on` and `off` values. To enable O_SYNC for fs backend, set this value to `on`",
	)

	ErrOverlappingDomainValue = newErrFn(
		"Overlapping domain values",

					p.pendingLabels = append(p.pendingLabels, word)
					goto next
				}
			}
			if tok == scanner.EOF {
				p.errorf("unexpected EOF")
				return "", "", nil, false
			}
			// Split operands on comma. Also, the old syntax on x86 for a "register pair"
			// was AX:DX, for which the new syntax is DX, AX. Note the reordering.
			if tok == '\n' || tok == ';' || (nesting == 0 && (tok == ',' || tok == ':')) {
				if tok == ':' {

	if formatErasure.Version != formatMetaVersionV1 {
		return fmt.Errorf("Unsupported version of backend format [%s] found on %s", formatErasure.Version, disk)
	}
	if formatErasure.Format != formatBackendErasure && formatErasure.Format != formatBackendErasureSingle {
		return fmt.Errorf("Unsupported backend format [%s] found on %s", formatErasure.Format, disk)
	}
	if formatErasure.Erasure.Version != formatErasureVersionV3 {

            against THE LATEST VERSION WHICH IS RELEASED FROM RELEASE BRANCH (from `released-version.json` on this branch)
            AND LOWER THAN CURRENT BASE VERSION (from `version.txt` on this branch).

// Create a variable handle with name `variable_name` on a device with name
// `device_name`.
TFE_TensorHandle* CreateVarHandle(TFE_Context* ctx,
                                  const tensorflow::string& device_name,
                                  const tensorflow::string& variable_name);

// Create a variable with value `value` and name `variable_name` on a device
// with name `device_name`.

        *   `tf.raw_ops.Bucketize` op on CPU.
        *   `tf.where` op for data types
            `tf.int32`/`tf.uint32`/`tf.int8`/`tf.uint8`/`tf.int64`.
        *   `tf.random.normal` op for output data type `tf.float32` on CPU.
        *   `tf.random.uniform` op for output data type `tf.float32` on CPU.
        *   `tf.random.categorical` op for output data type `tf.int64` on CPU.

*   `tensorflow.experimental.tensorrt`:

      the copyright owner. For the purposes of this definition, "submitted"
      means any form of electronic, verbal, or written communication sent
      to the Licensor or its representatives, including but not limited to
      communication on electronic mailing lists, source code control systems,
      and issue tracking systems that are managed by, or on behalf of, the

      the copyright owner. For the purposes of this definition, "submitted"
      means any form of electronic, verbal, or written communication sent
      to the Licensor or its representatives, including but not limited to
      communication on electronic mailing lists, source code control systems,
      and issue tracking systems that are managed by, or on behalf of, the

      the copyright owner. For the purposes of this definition, "submitted"
      means any form of electronic, verbal, or written communication sent
      to the Licensor or its representatives, including but not limited to
      communication on electronic mailing lists, source code control systems,
      and issue tracking systems that are managed by, or on behalf of, the