Add unit testing of ModelsEvaluator in applications

5 files changed, 84 insertions, 0 deletions

diff --git a/config-model/src/test/cfg/application/stateless_eval/constant1asLarge.json b/config-model/src/test/cfg/application/stateless_eval/constant1asLarge.json
new file mode 100644
index 00000000000..d2944d255af
--- /dev/null
+++ b/config-model/src/test/cfg/application/stateless_eval/constant1asLarge.json
@@ -0,0 +1,7 @@
+{
+  "cells": [
+    { "address": { "x": "0" }, "value": 0.5 },
+    { "address": { "x": "1" }, "value": 1.5 },
+    { "address": { "x": "2" }, "value": 2.5 }
+  ]
+}
\ No newline at end of file
diff --git a/config-model/src/test/cfg/application/stateless_eval/example.model b/config-model/src/test/cfg/application/stateless_eval/example.model
new file mode 100644
index 00000000000..af1c85be4f0
--- /dev/null
+++ b/config-model/src/test/cfg/application/stateless_eval/example.model
@@ -0,0 +1,34 @@
+model example {
+
+    # All inputs that are not scalar (aka 0-dimensional tensor) must be declared
+    input1: tensor(name{}, x[3])
+    input2: tensor(x[3])
+
+    constants {
+        constant1: tensor(x[3]):{{x:0}:0.5, {x:1}:1.5, {x:2}:2.5}
+        constant2: 3.0
+    }
+
+    constant constant1asLarge {
+        type: tensor(x[3])
+        file: constant1asLarge.json
+    }
+
+    function foo1() {
+        expression: file:test.expression
+    }
+
+    function foo2() {
+        expression: reduce(sum(input1 * input2, name) * constant(constant1asLarge), max, x) * constant2
+        # expression: input1 * input2
+    }
+
+    function my_input1() {
+        expression: tensor(d0[1]):[2]
+    }
+
+    function my_input2() {
+        expression: tensor(d0[1]):[3]
+    }
+
+}
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diff --git a/config-model/src/test/cfg/application/stateless_eval/mul.onnx b/config-model/src/test/cfg/application/stateless_eval/mul.onnx
new file mode 100644
index 00000000000..087e2c3427f
--- /dev/null
+++ b/config-model/src/test/cfg/application/stateless_eval/mul.onnx
@@ -0,0 +1,16 @@
+mul.py:f
+
+input1
+input2output"MulmulZ
+input1
+
+

+
Z
+input2
+
+

+
b
+output
+
+

+
B
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diff --git a/config-model/src/test/cfg/application/stateless_eval/mul.py b/config-model/src/test/cfg/application/stateless_eval/mul.py
new file mode 100755
index 00000000000..db01561c355
--- /dev/null
+++ b/config-model/src/test/cfg/application/stateless_eval/mul.py
@@ -0,0 +1,26 @@
+# Copyright Verizon Media. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
+import onnx
+from onnx import helper, TensorProto
+
+INPUT_1 = helper.make_tensor_value_info('input1', TensorProto.FLOAT, [1])
+INPUT_2 = helper.make_tensor_value_info('input2', TensorProto.FLOAT, [1])
+OUTPUT = helper.make_tensor_value_info('output', TensorProto.FLOAT, [1])
+
+nodes = [
+    helper.make_node(
+        'Mul',
+        ['input1', 'input2'],
+        ['output'],
+    ),
+]
+graph_def = helper.make_graph(
+    nodes,
+    'mul',
+    [
+        INPUT_1,
+        INPUT_2
+    ],
+    [OUTPUT],
+)
+model_def = helper.make_model(graph_def, producer_name='mul.py', opset_imports=[onnx.OperatorSetIdProto(version=12)])
+onnx.save(model_def, 'mul.onnx')
diff --git a/config-model/src/test/cfg/application/stateless_eval/test.expression b/config-model/src/test/cfg/application/stateless_eval/test.expression
new file mode 100644
index 00000000000..5db8a720498
--- /dev/null
+++ b/config-model/src/test/cfg/application/stateless_eval/test.expression
@@ -0,0 +1 @@
+reduce(sum(input1 * input2, name) * constant1, max, x) * constant2
\ No newline at end of file