try_demo_demo.py

#!/usr/bin/env python
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import argparse
import sys

import numpy as np
import tritonclient.grpc as grpcclient

if __name__ == "__main__":
    parser = argparse.ArgumentParser()
    parser.add_argument(
        "-v",
        "--verbose",
        action="store_true",
        required=False,
        default=False,
        help="Enable verbose output",
    )
    parser.add_argument(
        "-u",
        "--url",
        type=str,
        required=False,
        default="10.95.163.43:8001",
        help="Inference server URL. Default is localhost:8001.",
    )
    parser.add_argument(
        "-s",
        "--ssl",
        action="store_true",
        required=False,
        default=False,
        help="Enable SSL encrypted channel to the server",
    )
    parser.add_argument(
        "-t",
        "--client-timeout",
        type=float,
        required=False,
        default=None,
        help="Client timeout in seconds. Default is None.",
    )
    parser.add_argument(
        "-r",
        "--root-certificates",
        type=str,
        required=False,
        default=None,
        help="File holding PEM-encoded root certificates. Default is None.",
    )
    parser.add_argument(
        "-p",
        "--private-key",
        type=str,
        required=False,
        default=None,
        help="File holding PEM-encoded private key. Default is None.",
    )
    parser.add_argument(
        "-x",
        "--certificate-chain",
        type=str,
        required=False,
        default=None,
        help="File holding PEM-encoded certificate chain. Default is None.",
    )
    parser.add_argument(
        "-C",
        "--grpc-compression-algorithm",
        type=str,
        required=False,
        default=None,
        help="The compression algorithm to be used when sending request to server. Default is None.",
    )

    FLAGS = parser.parse_args()
    try:
        # triton_client = grpcclient.InferenceServerClient(
        #     url=FLAGS.url,
        #     verbose=FLAGS.verbose,
        #     ssl=FLAGS.ssl,
        #     root_certificates=FLAGS.root_certificates,
        #     private_key=FLAGS.private_key,
        #     certificate_chain=FLAGS.certificate_chain,
        # )
        triton_client = grpcclient.InferenceServerClient(
            url=FLAGS.url,
            # verbose=FLAGS.verbose,
            verbose = True,
            ssl=FLAGS.ssl,
            root_certificates=None,
            private_key=None,
            certificate_chain=None,
        )
    except Exception as e:
        print("channel creation failed: " + str(e))
        sys.exit()

    model_name = "ensemble_mllm"
    img_url = f"https://s3plus.sankuai.com/automl-pkgs/0000.jpeg"
    # img_url = f"https://s3plus.sankuai.com/automl-pkgs/0003.jpeg"
    text = f"详细描述一下这张图片"

    # Infer
    inputs = []
    img_url_bytes = img_url.encode("utf-8")
    img_url_bytes = np.array(img_url_bytes, dtype=bytes)
    img_url_bytes = img_url_bytes.reshape([1, -1])

    inputs.append(grpcclient.InferInput('IMAGE_URL', img_url_bytes.shape, "BYTES"))
    inputs[0].set_data_from_numpy(img_url_bytes)

    text_bytes = text.encode("utf-8")
    text_bytes = np.array(text_bytes, dtype=bytes)
    text_bytes = text_bytes.reshape([1, -1])
    # text_input = np.expand_dims(text_bytes, axis=0)
    text_input = text_bytes

    inputs.append(grpcclient.InferInput('TEXT', text_input.shape, "BYTES"))
    inputs[1].set_data_from_numpy(text_input)

    outputs = []
    outputs.append(grpcclient.InferRequestedOutput("OUTPUT"))

    # Test with outputs
    results = triton_client.infer(
        model_name=model_name,
        inputs=inputs,
        outputs=outputs,
        client_timeout=None, #FLAGS.client_timeout,
        # headers={"test": "1"},
        compression_algorithm=None, #FLAGS.grpc_compression_algorithm,
    )

    statistics = triton_client.get_inference_statistics(model_name=model_name)
    print(statistics)
    if len(statistics.model_stats) != 1:
        print("FAILED: Inference Statistics")
        sys.exit(1)

    # Get the output arrays from the results
    output_data = results.as_numpy("OUTPUT")
    result_str = output_data[0][0].decode('utf-8')

    print("OUTPUT: "+ result_str)

    # # Test with no outputs
    # results = triton_client.infer(
    #     model_name=model_name,
    #     inputs=inputs,
    #     outputs=None,
    #     compression_algorithm=FLAGS.grpc_compression_algorithm,
    # )

    # # Get the output arrays from the results
    # output0_data = results.as_numpy("OUTPUT0")
    # output1_data = results.as_numpy("OUTPUT1")

    # for i in range(16):
    #     print(
    #         str(input0_data[0][i])
    #         + " + "
    #         + str(input1_data[0][i])
    #         + " = "
    #         + str(output0_data[0][i])
    #     )
    #     print(
    #         str(input0_data[0][i])
    #         + " - "
    #         + str(input1_data[0][i])
    #         + " = "
    #         + str(output1_data[0][i])
    #     )
    #     if (input0_data[0][i] + input1_data[0][i]) != output0_data[0][i]:
    #         print("sync infer error: incorrect sum")
    #         sys.exit(1)
    #     if (input0_data[0][i] - input1_data[0][i]) != output1_data[0][i]:
    #         print("sync infer error: incorrect difference")
    #         sys.exit(1)

    print("PASS: infer")