Test improved input validation errors

qa/L0_infer/infer_test.py

@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 
-# Copyright 2018-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# Copyright 2018-2024, 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

qa/L0_infer/test.sh

@@ -1,5 +1,5 @@
 #!/bin/bash
-# Copyright 2018-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
+# Copyright 2018-2024, 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

qa/L0_input_validation/input_validation_test.py

@@ -0,0 +1,117 @@
+#!/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
+
+import numpy as np
+import tritonclient.grpc as tritongrpcclient
+from tritonclient.utils import InferenceServerException
+
+
+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,
+        )
+
+    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"))
+
+        inputs[0].set_data_from_numpy(np.arange(1, dtype=np.float32))
+
+        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
+
+        inputs[0].set_data_from_numpy(np.arange(1, dtype=np.float32))
+
+        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")
+
+
+if __name__ == "__main__":
+    unittest.main()

qa/L0_input_validation/models/input_all_optional/1/model.py

@@ -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]))
+
+        return responses

qa/L0_input_validation/models/input_all_optional/config.pbtxt

@@ -0,0 +1,58 @@
+# 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.
+
+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
+  }
+]
+
+output [
+  {
+    name: "OUTPUT0"
+    data_type: TYPE_FP32
+    dims: [ 1 ]
+  }
+]
+
+instance_group [{ kind: KIND_CPU }]

qa/L0_input_validation/models/input_all_required/1/model.py

@@ -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]))
+
+        return responses

qa/L0_input_validation/models/input_all_required/config.pbtxt

@@ -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.
+
+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 ]
+  }
+]
+
+output [
+  {
+    name: "OUTPUT0"
+    data_type: TYPE_FP32
+    dims: [ 1 ]
+  }
+]
+
+instance_group [{ kind: KIND_CPU }]

qa/L0_input_validation/models/input_optional/1/model.py

@@ -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]))
+
+        return responses