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#!/usr/bin/python
# Copyright 2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#  * Redistributions of source code must retain the above copyright
#    notice, this list of conditions and the following disclaimer.
#  * Redistributions in binary form must reproduce the above copyright
#    notice, this list of conditions and the following disclaimer in the
#    documentation and/or other materials provided with the distribution.
#  * Neither the name of NVIDIA CORPORATION nor the names of its
#    contributors may be used to endorse or promote products derived
#    from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
# EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
# PURPOSE ARE DISCLAIMED.  IN NO EVENT SHALL THE COPYRIGHT OWNER OR
# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
# OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

import sys
import argparse
import numpy as np
import tritonhttpclient as httpclient
from tritonclientutils import np_to_triton_dtype

if __name__ == '__main__':
    parser = argparse.ArgumentParser()
    parser.add_argument('-u',
                        '--url',
                        type=str,
                        required=False,
                        default='localhost:8000',
                        help='Inference server URL. Default is localhost:8000.')
    FLAGS = parser.parse_args()

    model_name = "bls_fp32"
    shape = [16]
    with httpclient.InferenceServerClient(url=FLAGS.url) as client:
        input0_data = np.random.rand(*shape).astype(np.float32)
        input1_data = np.random.rand(*shape).astype(np.float32)
        inputs = [
            httpclient.InferInput("INPUT0", input0_data.shape,
                                    np_to_triton_dtype(input0_data.dtype)),
            httpclient.InferInput("INPUT1", input1_data.shape,
                                    np_to_triton_dtype(input1_data.dtype)),
        ]

        inputs[0].set_data_from_numpy(input0_data)
        inputs[1].set_data_from_numpy(input1_data)

        outputs = [
            httpclient.InferRequestedOutput("OUTPUT0"),
            httpclient.InferRequestedOutput("OUTPUT1"),
        ]
        response = client.infer(model_name,
                                inputs,
                                request_id=str(1),
                                outputs=outputs)

        result = response.get_response()
        output0_data = response.as_numpy("OUTPUT0")
        output1_data = response.as_numpy("OUTPUT1")

        print("INPUT0 ({}) + INPUT1 ({}) = OUTPUT0 ({})".format(
            input0_data, input1_data, output0_data))
        print("INPUT0 ({}) - INPUT1 ({}) = OUTPUT1 ({})".format(
            input0_data, input1_data, output1_data))

        if not np.allclose(input0_data + input1_data, output0_data):
            print("error: incorrect sum")
            sys.exit(1)

        if not np.allclose(input0_data - input1_data, output1_data):
            print("error: incorrect difference")
            sys.exit(1)

    print('\nPASS')
    sys.exit(0)