dtype.code = DLDataTypeCode::kDLBool;
      break;
    case TF_DataType::TF_HALF:
    case TF_DataType::TF_FLOAT:
    case TF_DataType::TF_DOUBLE:
      dtype.code = DLDataTypeCode::kDLFloat;
      break;
    case TF_DataType::TF_INT8:
    case TF_DataType::TF_INT16:
    case TF_DataType::TF_INT32:
    case TF_DataType::TF_INT64:
      dtype.code = DLDataTypeCode::kDLInt;
      break;
    case TF_DataType::TF_UINT8:

      TFE_OpSetAttrString(op, attr_name, v.data(), v.size());
      break;
    }
    case tensorflow::AttrValue::kI:
      TFE_OpSetAttrInt(op, attr_name, static_cast<int64_t>(default_value.i()));
      break;
    case tensorflow::AttrValue::kF:
      TFE_OpSetAttrFloat(op, attr_name, default_value.f());
      break;
    case tensorflow::AttrValue::kB:

-
-      for (;;)
-	{
-	  c = *s2++;
-	  *++s1 = c;
-	  if (c == '\0')
-	    break;
-	  c = *s2++;
-	  *++s1 = c;
-	  if (c == '\0')
-	    break;
-	  c = *s2++;
-	  *++s1 = c;
-	  if (c == '\0')
-	    break;
-	  c = *s2++;
-	  *++s1 = c;
-	  if (c == '\0')
-	    break;
-	  if (--n4 == 0)
-	    goto last_chars;
-	}
-      n = n - (s1 - s) - 1;

      read += r;
    } else if (r == 0) {
      TF_SetStatus(status, TF_OUT_OF_RANGE, "Read fewer bytes than requested");
      break;
    } else if (errno == EINTR || errno == EAGAIN) {
      // Retry
    } else {
      TF_SetStatusFromIOError(status, errno, posix_file->filename);
      break;
    }
  }

  return read;
}

}  // namespace tf_random_access_file

// SECTION 2. Implementation for `TF_WritableFile`

        if verbose:
          print(f'Found failed invocation: {url.rsplit("/")[-1]}\n'
                f'Log fragment:\n'
                f'```\n{log_fragment}\n```\n'
                f'{"=" * 140}')
        break
      k -= 1

    # A low-effort attempt to find the bazel command that triggered the
    # invocation.
    bazel_comm_min_line_i = (previous_end_line if previous_end_line is not None

            Gradient* ones_like = nullptr;
            TF_RETURN_IF_ERROR(vspace.BuildOnesLike(
                op_it->second.output_tensor_info[j], &ones_like));
            (*result)[id].push_back(ones_like);
            break;
          }
        }
        if (!found) {
          return errors::Internal(
              "Internal state of the gradient tape is invalid: "
              "none of operations outputs match expected tensor");