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Test improved input validation errors (#6933)
Added a test case to check for optional/required input params in a request and appropriate response from server. Includes addition of 3 simple models with a combination of required/optional input params
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#!/usr/bin/env python | ||
# Copyright (c) 2024, 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 | ||
|
||
sys.path.append("../common") | ||
|
||
import unittest | ||
|
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import numpy as np | ||
import tritonclient.grpc as tritongrpcclient | ||
from tritonclient.utils import InferenceServerException | ||
|
||
|
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class InputValTest(unittest.TestCase): | ||
def test_input_validation_required_empty(self): | ||
triton_client = tritongrpcclient.InferenceServerClient("localhost:8001") | ||
inputs = [] | ||
with self.assertRaises(InferenceServerException) as e: | ||
triton_client.infer( | ||
model_name="input_all_required", | ||
inputs=inputs, | ||
) | ||
err_str = str(e.exception) | ||
self.assertIn( | ||
"expected 3 inputs but got 0 inputs for model 'input_all_required'. Got input(s) [], but missing required input(s) ['INPUT0','INPUT1','INPUT2']. Please provide all required input(s).", | ||
err_str, | ||
) | ||
|
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def test_input_validation_optional_empty(self): | ||
triton_client = tritongrpcclient.InferenceServerClient("localhost:8001") | ||
inputs = [] | ||
with self.assertRaises(InferenceServerException) as e: | ||
triton_client.infer( | ||
model_name="input_optional", | ||
inputs=inputs, | ||
) | ||
err_str = str(e.exception) | ||
self.assertIn( | ||
"expected number of inputs between 3 and 4 but got 0 inputs for model 'input_optional'. Got input(s) [], but missing required input(s) ['INPUT0','INPUT1','INPUT2']. Please provide all required input(s).", | ||
err_str, | ||
) | ||
|
||
def test_input_validation_required_missing(self): | ||
triton_client = tritongrpcclient.InferenceServerClient("localhost:8001") | ||
inputs = [] | ||
inputs.append(tritongrpcclient.InferInput("INPUT0", [1], "FP32")) | ||
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inputs[0].set_data_from_numpy(np.arange(1, dtype=np.float32)) | ||
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with self.assertRaises(InferenceServerException) as e: | ||
triton_client.infer( | ||
model_name="input_all_required", | ||
inputs=inputs, | ||
) | ||
err_str = str(e.exception) | ||
self.assertIn( | ||
"expected 3 inputs but got 1 inputs for model 'input_all_required'. Got input(s) ['INPUT0'], but missing required input(s) ['INPUT1','INPUT2']. Please provide all required input(s).", | ||
err_str, | ||
) | ||
|
||
def test_input_validation_optional(self): | ||
triton_client = tritongrpcclient.InferenceServerClient("localhost:8001") | ||
inputs = [] | ||
inputs.append(tritongrpcclient.InferInput("INPUT0", [1], "FP32")) | ||
# Option Input is added, 2 required are missing | ||
|
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inputs[0].set_data_from_numpy(np.arange(1, dtype=np.float32)) | ||
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with self.assertRaises(InferenceServerException) as e: | ||
triton_client.infer( | ||
model_name="input_optional", | ||
inputs=inputs, | ||
) | ||
err_str = str(e.exception) | ||
self.assertIn( | ||
"expected number of inputs between 3 and 4 but got 1 inputs for model 'input_optional'. Got input(s) ['INPUT0'], but missing required input(s) ['INPUT1','INPUT2']. Please provide all required input(s).", | ||
err_str, | ||
) | ||
|
||
def test_input_validation_all_optional(self): | ||
triton_client = tritongrpcclient.InferenceServerClient("localhost:8001") | ||
inputs = [] | ||
result = triton_client.infer( | ||
model_name="input_all_optional", | ||
inputs=inputs, | ||
) | ||
response = result.get_response() | ||
self.assertIn(str(response.outputs[0].name), "OUTPUT0") | ||
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if __name__ == "__main__": | ||
unittest.main() |
47 changes: 47 additions & 0 deletions
47
qa/L0_input_validation/models/input_all_optional/1/model.py
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@@ -0,0 +1,47 @@ | ||
# Copyright 2024, 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. | ||
|
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import json | ||
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import numpy as np | ||
import triton_python_backend_utils as pb_utils | ||
|
||
|
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class TritonPythonModel: | ||
def initialize(self, args): | ||
self.model_config = json.loads(args["model_config"]) | ||
|
||
def execute(self, requests): | ||
"""This function is called on inference request.""" | ||
|
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responses = [] | ||
for _ in requests: | ||
# Include one of each specially parsed JSON value: nan, inf, and -inf | ||
out_0 = np.array([1], dtype=np.float32) | ||
out_tensor_0 = pb_utils.Tensor("OUTPUT0", out_0) | ||
responses.append(pb_utils.InferenceResponse([out_tensor_0])) | ||
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return responses |
58 changes: 58 additions & 0 deletions
58
qa/L0_input_validation/models/input_all_optional/config.pbtxt
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# Copyright (c) 2024, 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. | ||
|
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name: "input_all_optional" | ||
backend: "python" | ||
input [ | ||
{ | ||
name: "INPUT0" | ||
data_type: TYPE_FP32 | ||
dims: [ -1 ] | ||
optional: true | ||
}, | ||
{ | ||
name: "INPUT1" | ||
data_type: TYPE_FP32 | ||
dims: [ -1 ] | ||
optional: true | ||
}, | ||
{ | ||
name: "INPUT2" | ||
data_type: TYPE_FP32 | ||
dims: [ -1 ] | ||
optional: true | ||
} | ||
] | ||
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output [ | ||
{ | ||
name: "OUTPUT0" | ||
data_type: TYPE_FP32 | ||
dims: [ 1 ] | ||
} | ||
] | ||
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instance_group [{ kind: KIND_CPU }] |
47 changes: 47 additions & 0 deletions
47
qa/L0_input_validation/models/input_all_required/1/model.py
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@@ -0,0 +1,47 @@ | ||
# Copyright 2024, 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 json | ||
|
||
import numpy as np | ||
import triton_python_backend_utils as pb_utils | ||
|
||
|
||
class TritonPythonModel: | ||
def initialize(self, args): | ||
self.model_config = json.loads(args["model_config"]) | ||
|
||
def execute(self, requests): | ||
"""This function is called on inference request.""" | ||
|
||
responses = [] | ||
for _ in requests: | ||
# Include one of each specially parsed JSON value: nan, inf, and -inf | ||
out_0 = np.array([1], dtype=np.float32) | ||
out_tensor_0 = pb_utils.Tensor("OUTPUT0", out_0) | ||
responses.append(pb_utils.InferenceResponse([out_tensor_0])) | ||
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return responses |
55 changes: 55 additions & 0 deletions
55
qa/L0_input_validation/models/input_all_required/config.pbtxt
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@@ -0,0 +1,55 @@ | ||
# Copyright (c) 2024, 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. | ||
|
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name: "input_all_required" | ||
backend: "python" | ||
input [ | ||
{ | ||
name: "INPUT0" | ||
data_type: TYPE_FP32 | ||
dims: [ -1 ] | ||
}, | ||
{ | ||
name: "INPUT1" | ||
data_type: TYPE_FP32 | ||
dims: [ -1 ] | ||
}, | ||
{ | ||
name: "INPUT2" | ||
data_type: TYPE_FP32 | ||
dims: [ -1 ] | ||
} | ||
] | ||
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output [ | ||
{ | ||
name: "OUTPUT0" | ||
data_type: TYPE_FP32 | ||
dims: [ 1 ] | ||
} | ||
] | ||
|
||
instance_group [{ kind: KIND_CPU }] |
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@@ -0,0 +1,47 @@ | ||
# Copyright 2024, 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 json | ||
|
||
import numpy as np | ||
import triton_python_backend_utils as pb_utils | ||
|
||
|
||
class TritonPythonModel: | ||
def initialize(self, args): | ||
self.model_config = json.loads(args["model_config"]) | ||
|
||
def execute(self, requests): | ||
"""This function is called on inference request.""" | ||
|
||
responses = [] | ||
for _ in requests: | ||
# Include one of each specially parsed JSON value: nan, inf, and -inf | ||
out_0 = np.array([1], dtype=np.float32) | ||
out_tensor_0 = pb_utils.Tensor("OUTPUT0", out_0) | ||
responses.append(pb_utils.InferenceResponse([out_tensor_0])) | ||
|
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return responses |
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