return op_->SetAttrInt(attr_name, value);
}
Status SetAttrFloat(AbstractOperation* op_, const char* attr_name, float value,
                    ForwardOperation* forward_op_) {
  forward_op_->attrs.Set(attr_name, value);
  return op_->SetAttrFloat(attr_name, value);
}
Status SetAttrBool(AbstractOperation* op_, const char* attr_name, bool value,

  desc->node_builder.Attr(
      attr_name, ArraySlice<const DataType>(
                     reinterpret_cast<const DataType*>(values), num_values));
}

void TF_SetAttrPlaceholder(TF_OperationDescription* desc, const char* attr_name,
                           const char* placeholder) {
  tensorflow::AttrValue attr_value;
  attr_value.set_placeholder(placeholder);
  desc->node_builder.Attr(attr_name, attr_value);
}

            <td>{{ branch.diff.files_metadata | filter(attr='file', list=platform.subprojects) | map(attr='additions') | sum }}</td>
            <td>{{ ((branch.diff.files_metadata | filter(attr='file', list=platform.subprojects) | map(attr='additions') | sum) / (changes.additions + changes.deletions) * 100) | round(2) }}%</td>
            <td>{{ branch.diff.files_metadata | filter(attr='file', list=platform.subprojects) | map(attr='deletions') | sum }}</td>

        new_field.key_field = create_cloned_field(  # type: ignore[attr-defined]
            field.key_field,  # type: ignore[attr-defined]
            cloned_types=cloned_types,
        )
    new_field.validators = field.validators  # type: ignore[attr-defined]
    new_field.pre_validators = field.pre_validators  # type: ignore[attr-defined]
    new_field.post_validators = field.post_validators  # type: ignore[attr-defined]

  Status SetAttrFloat(const char* attr_name, float value) override {
    op_->node_builder.Attr(attr_name, value);
    return absl::OkStatus();
  }
  Status SetAttrBool(const char* attr_name, bool value) override {
    op_->node_builder.Attr(attr_name, value);
    return absl::OkStatus();
  }
  Status SetAttrType(const char* const attr_name, DataType value) override {
    if (!op_) {
      return Status(

ldap.attr.postalAddress=postalAddress
ldap.attr.city=l
ldap.attr.teletexTerminalIdentifier=teletexTerminalIdentifier
ldap.attr.x121Address=x121Address
ldap.attr.businessCategory=businessCategory
ldap.attr.registeredAddress=registeredAddress
ldap.attr.displayName=displayName
ldap.attr.preferredLanguage=preferredLanguage
ldap.attr.departmentNumber=departmentNumber
ldap.attr.uidNumber=uidNumber
ldap.attr.gidNumber=gidNumber

  }
}

void TFE_OpSetAttrInt(TFE_Op* op, const char* attr_name, int64_t value) {
  auto s = tensorflow::unwrap(op)->SetAttrInt(attr_name, value);
  if (!s.ok()) {
    LOG(WARNING) << "Unable to set attribute: " << attr_name;
  }
}

void TFE_OpSetAttrFloat(TFE_Op* op, const char* attr_name, float value) {
  auto s = tensorflow::unwrap(op)->SetAttrFloat(attr_name, value);

        final int length = attrs.getLength();
        for (int i = 0; i < length; ++i) {
            final Attr attr = (Attr) attrs.item(i);
            buf.append(' ');
            appendAttr(attr, buf);
        }
    }

    /**
     * {@link Attr}の文字列表現を追加します。
     *
     * @param attr
     *            属性。{@literal null}であってはいけません
     * @param buf
     *            文字列バッファ。{@literal null}であってはいけません

    return;
  }

  (*(fdef_or.value()->mutable_attr()))[string(attr_name)] = attr_value;

  status->status = absl::OkStatus();
}

void TF_FunctionGetAttrValueProto(TF_Function* func, const char* attr_name,
                                  TF_Buffer* output_attr_value,
                                  TF_Status* status) {
  const auto& it = func->record->fdef().attr().find(attr_name);
  if (it == func->record->fdef().attr().end()) {

			names = append(names, attrs...)
		} else {
			names = append(names, name)
		}
		var data [][]string
		for _, attr := range names {
			value, err := getxattr(path, attr)
			if err != nil {
				data = append(data, []string{attr, errors.Unwrap(err).Error()})
			} else {
				data = append(data, []string{attr, fmt.Sprintf("%d", value)})
			}
		}
		table.AppendBulk(data) // Add Bulk Data
		table.Render()
	}