simple_grpc_aio_infer_client.py

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

import numpy as np
import tritonclient.grpc.aio as grpcclient


def get_triton_client(FLAGS):
    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,
        )
    except Exception as e:
        print("channel creation failed: " + str(e))
        sys.exit()

    return triton_client


def get_inputs_and_outputs():
    # Infer
    inputs = []
    outputs = []
    inputs.append(grpcclient.InferInput("INPUT0", [1, 16], "INT32"))
    inputs.append(grpcclient.InferInput("INPUT1", [1, 16], "INT32"))

    # Create the data for the two input tensors. Initialize the first
    # to unique integers and the second to all ones.
    input0_data = np.arange(start=0, stop=16, dtype=np.int32)
    input0_data = np.expand_dims(input0_data, axis=0)
    input1_data = np.ones(shape=(1, 16), dtype=np.int32)

    # Initialize the data
    inputs[0].set_data_from_numpy(input0_data)
    inputs[1].set_data_from_numpy(input1_data)

    outputs.append(grpcclient.InferRequestedOutput("OUTPUT0"))
    outputs.append(grpcclient.InferRequestedOutput("OUTPUT1"))

    return inputs, outputs, input0_data, input1_data


def get_output(input0_data, input1_data, results):
    # Get the output arrays from the results
    output0_data = results.as_numpy("OUTPUT0")
    output1_data = results.as_numpy("OUTPUT1")

    # Validate the output
    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)


async def main(FLAGS):
    # Initialize
    triton_client = get_triton_client(FLAGS)
    model_name = "simple"
    inputs, outputs, input0_data, input1_data = get_inputs_and_outputs()

    # Test with outputs
    results = await triton_client.infer(
        model_name=model_name,
        inputs=inputs,
        outputs=outputs,
        client_timeout=FLAGS.client_timeout,
        headers={"test": "1"},
        compression_algorithm=FLAGS.grpc_compression_algorithm,
    )

    statistics = await 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_output(input0_data, input1_data, results)

    # Test with no outputs, in parallel
    result_1, result_2 = await asyncio.gather(
        triton_client.infer(
            model_name=model_name,
            inputs=inputs,
            outputs=None,
            compression_algorithm=FLAGS.grpc_compression_algorithm,
        ),
        triton_client.infer(
            model_name=model_name,
            inputs=inputs,
            outputs=None,
            compression_algorithm=FLAGS.grpc_compression_algorithm,
        ),
    )

    get_output(input0_data, input1_data, result_1)
    get_output(input0_data, input1_data, result_2)

    print("PASS: grpc aio infer")


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="localhost: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()
    asyncio.run(main(FLAGS))