return absl::OkStatus();
  }

  absl::Status AddInput(AbstractTensorHandle* input) override {
    GraphTensor* t = dyn_cast<GraphTensor>(input);
    if (!t) {
      return tensorflow::errors::InvalidArgument(
          "Unable to cast input to GraphTensor");
    }
    TF_AddInput(op_.get(), t->output_);
    return absl::OkStatus();
  }
  absl::Status AddInputList(

		writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErrWithErr(ErrBadRequest, InvalidArgument{
			Bucket: bucket,
			Err:    fmt.Errorf("Remote target ARN %s missing or ineligible for replication resync", arn),
		}), r.URL)
		return
	}

	if len(tgtArns) > 1 && arn == "" {
		writeErrorResponseJSON(ctx, w, errorCodes.ToAPIErrWithErr(ErrBadRequest, InvalidArgument{
			Bucket: bucket,

	}

	if r.APIVersion != batchExpireAPIVersion {
		return batchExpireJobError{
			Code:           "InvalidArgument",
			Description:    "Unsupported batch expire API version",
			HTTPStatusCode: http.StatusBadRequest,
		}
	}

	if r.Bucket == "" {
		return batchExpireJobError{
			Code:           "InvalidArgument",
			Description:    "Bucket argument missing",
			HTTPStatusCode: http.StatusBadRequest,
		}
	}

    gtl::ArraySlice<AbstractTensorHandle*> output_gradients,
    absl::Span<AbstractTensorHandle*> result) const {
  if (gradient_function == nullptr) {
    return errors::InvalidArgument(
        "Provided null gradient_function for '", op_type, "'.\n",
        "If the intent is to treat this op as non-differentiable consider "
        "using RegisterNotDifferentiable or "

	VersionID string
	Err       error
}

// Unwrap the error to its underlying error.
func (e GenericError) Unwrap() error {
	return e.Err
}

// InvalidArgument incorrect input argument
type InvalidArgument GenericError

func (e InvalidArgument) Error() string {
	if e.Err != nil {
		return "Invalid arguments provided for " + e.Bucket + "/" + e.Object + ": (" + e.Err.Error() + ")"
	}

	response4, err := s.client.Do(request)
	c.Assert(err, nil)
	// Since max-keys parameter in the ListMultipart request set to invalid value of -2,
	// its expected to fail with error message "InvalidArgument".
	verifyError(c, response4, "InvalidArgument", "Part number must be an integer between 1 and 10000, inclusive", http.StatusBadRequest)
}

// TestObjectValidMD5 - First uploads an object with a valid Content-Md5 header and verifies the status,

	}

	onlineDisks := er.getDisks()
	writeQuorum := fi.WriteQuorum(er.defaultWQuorum())

	if cs := fi.Metadata[hash.MinIOMultipartChecksum]; cs != "" {
		if r.ContentCRCType().String() != cs {
			return pi, InvalidArgument{
				Bucket: bucket,
				Object: fi.Name,
				Err:    fmt.Errorf("checksum missing, want %q, got %q", cs, r.ContentCRCType().String()),
			}
		}
	}

			s3LogIf(ctx, err)
			return opts, InvalidVersionID{
				Bucket:    bucket,
				Object:    object,
				VersionID: vid,
			}
		}
		if !versioned && !versionSuspended {
			return opts, InvalidArgument{
				Bucket: bucket,
				Object: object,
				Err:    fmt.Errorf("version-id specified %s but versioning is not enabled on %s", opts.VersionID, bucket),
			}
		}
	}
	return ObjectOptions{

			dataLen:            len(bytesData),
			accessKey:          credentials.AccessKey,
			secretKey:          credentials.SecretKey,
			expectedRespStatus: http.StatusBadRequest,
			wantAPICode:        "InvalidArgument",
		},
		// Test Case with invalid Content-Md5 value
		3: {
			bucketName:         bucketName,
			objectName:         objectName,
			headers:            invalidMD5Header,

            Throws `RuntimeError` from Python or `InvalidArgument` from C++
        *   `tf.compat.v1.get_seed` if the global random seed has not yet been
            set (via `tf.random.set_seed`). Throws `RuntimeError` from Python or
            `InvalidArgument` from C++

## Security

*   Fixes a code injection issue in `saved_model_cli`