java sdk request tritonserver

[wuyonglei]

use java sdk request tritonserver
sdk version：r23.10
tritonserver version: 23.10

try use java sdk request tritonsever，but Some abnormalities have occurred

error：
{"error":"in ensemble 'model_test', Runtime error: Critical error in pipeline:\nError when executing Mixed operator decoders__Image encountered:\nError in thread 2: [/opt/dai/dali/operators/decoder/nvjpeg/nvjpeg_decoder_decoupled_api.h:616] [/opt/dali/dali/image/jpeg.cc:125] Assert on "imgcodec::jpeg::GetImageInfo(encoded_buffer, length, &width, &height, &components) ==true" failed\nStacktrace (8 entries):\n[frame 0]: /opt/tritonserver/backends/dali/conda/envs/dalienv/lib/python3.10/site-packages/nvidia/dali/libdali.so(+0xde4db) [0x7f89f450e4db]\n[frame 1]:/opt/tritonserver/backends/dali/conda/envs/dalienv/lib/python3.10/site-packages/nvidia/dali/libdali.so(+0x207ef2) [0x7f89f4637ef2]\n[frame 2]: /opt/tritonserver/backends/dali/conda/envs/dalienv/lib/ ...

java code:
InferenceServerClient client= new InferenceServerClient("127.0.0.1:8000", 20000, 20000);
// read image
BufferedImage image = ImageIO.read(new File("58.jpeg"));
ByteArrayOutputStream os = new ByteArrayOutputStream();
JPEGImageEncoder encoder = JPEGCodec.createJPEGEncoder(os);
encoder.encode(image);

// input
InferInput input0 = new InferInput("images", new long[] {1, 3}, DataType.UINT8);
input0.setData(os.toByteArray(), true);
List inputs = Lists.newArrayList(input0);

//output
InferRequestedOutput output0 = new InferRequestedOutput("output0", true);
List outputs = Lists.newArrayList(output0);

// infer
InferResult result = client.infer("model_test", inputs, outputs);

model info:
name: "model_test"
platform: "onnxruntime_onnx"
max_batch_size : 4
input [
{
name: "images"
data_type: TYPE_FP32
dims: [ 3, -1, -1 ]
}
]
output [
{
name: "output0"
data_type: TYPE_FP32
dims: [ -1, -1 ]
}
]