1 files changed, 99 insertions, 0 deletions
diff --git a/tests/nnapi/specs/V1_2/less.mod.py b/tests/nnapi/specs/V1_2/less.mod.py
new file mode 100755
index 000000000..182d69d67
--- /dev/null
+++ b/tests/nnapi/specs/V1_2/less.mod.py
@@ -0,0 +1,99 @@
+#
+# Copyright (C) 2018 The Android Open Source Project
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+def test(name, input0, input1, output0, input0_data, input1_data, output_data, do_variations=True):
+  model = Model().Operation("LESS", input0, input1).To(output0)
+  example = Example({
+      input0: input0_data,
+      input1: input1_data,
+      output0: output_data,
+  }, model=model, name=name)
+  if do_variations:
+      example.AddVariations("int32", "float16", "relaxed")
+
+test(
+    name="simple",
+    input0=Input("input0", "TENSOR_FLOAT32", "{3}"),
+    input1=Input("input1", "TENSOR_FLOAT32", "{3}"),
+    output0=Output("output0", "TENSOR_BOOL8", "{3}"),
+    input0_data=[5, 7, 10],
+    input1_data=[10, 7, 5],
+    output_data=[True, False, False],
+)
+
+test(
+    name="broadcast",
+    input0=Input("input0", "TENSOR_FLOAT32", "{2, 1}"),
+    input1=Input("input1", "TENSOR_FLOAT32", "{2}"),
+    output0=Output("output0", "TENSOR_BOOL8", "{2, 2}"),
+    input0_data=[5, 10],
+    input1_data=[10, 5],
+    output_data=[True, False, False, False],
+)
+
+test(
+    name="quantized_different_scale",
+    input0=Input("input0", ("TENSOR_QUANT8_ASYMM", [3], 1.0, 128)),
+    input1=Input("input1", ("TENSOR_QUANT8_ASYMM", [1], 2.0, 128)),
+    output0=Output("output0", "TENSOR_BOOL8", "{3}"),
+    input0_data=[129, 130, 131], # effectively 1, 2, 3
+    input1_data=[129],           # effectively 2
+    output_data=[True, False, False],
+    do_variations=False,
+)
+
+test(
+    name="quantized_different_zero_point",
+    input0=Input("input0", ("TENSOR_QUANT8_ASYMM", [3], 1.0, 128)),
+    input1=Input("input1", ("TENSOR_QUANT8_ASYMM", [1], 1.0, 129)),
+    output0=Output("output0", "TENSOR_BOOL8", "{3}"),
+    input0_data=[129, 130, 131], # effectively 1, 2, 3
+    input1_data=[131],           # effectively 2
+    output_data=[True, False, False],
+    do_variations=False,
+)
+
+test(
+    name="quantized_overflow_second_input_if_requantized",
+    input0=Input("input0", ("TENSOR_QUANT8_ASYMM", [1], 1.64771, 31)),
+    input1=Input("input1", ("TENSOR_QUANT8_ASYMM", [1], 1.49725, 240)),
+    output0=Output("output0", "TENSOR_BOOL8", "{1}"),
+    input0_data=[0],
+    input1_data=[200],
+    output_data=[False],
+    do_variations=False,
+)
+
+test(
+    name="quantized_overflow_first_input_if_requantized",
+    input0=Input("input0", ("TENSOR_QUANT8_ASYMM", [1], 1.49725, 240)),
+    input1=Input("input1", ("TENSOR_QUANT8_ASYMM", [1], 1.64771, 31)),
+    output0=Output("output0", "TENSOR_BOOL8", "{1}"),
+    input0_data=[200],
+    input1_data=[0],
+    output_data=[True],
+    do_variations=False,
+)
+
+test(
+    name="boolean",
+    input0=Input("input0", "TENSOR_BOOL8", "{4}"),
+    input1=Input("input1", "TENSOR_BOOL8", "{4}"),
+    output0=Output("output0", "TENSOR_BOOL8", "{4}"),
+    input0_data=[False, True, False, True],
+    input1_data=[False, False, True, True],
+    output_data=[False, False, True, False],
+    do_variations=False,
+)