op_set=quant_opts_pb2.TF,
    )

    data_gen = self._create_data_generator(
        input_key='x', shape=input_placeholder.shape
    )

    converted_model = quantize_model.quantize(
        self._input_saved_model_path,
        self._output_saved_model_path,
        quantization_options,
        representative_dataset=data_gen,
    )

    self.assertIsNotNone(converted_model)

				int64(testCase.dataLen), testCase.chunkSize, bytes.NewReader(testCase.data),
				testCase.accessKey, testCase.secretKey)
		case testCase.contentEncoding == "":
			req, err = newTestStreamingSignedRequest(http.MethodPut,
				getPutObjectURL("", testCase.bucketName, testCase.objectName),
				int64(testCase.dataLen), testCase.chunkSize, bytes.NewReader(testCase.data),