1 files changed, 61 insertions, 0 deletions
diff --git a/tests/nnapi/nnapi_test_generator/android-q-beta/tests/P_naming/conv_float.mod.py b/tests/nnapi/nnapi_test_generator/android-q-beta/tests/P_naming/conv_float.mod.py
new file mode 100644
index 000000000..61f7c92ee
--- /dev/null
+++ b/tests/nnapi/nnapi_test_generator/android-q-beta/tests/P_naming/conv_float.mod.py
@@ -0,0 +1,61 @@
+# Copyright 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.
+
+model = Model("model_name")
+i1 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 2, 2}")
+f1 = Parameter("op2", "TENSOR_FLOAT32", "{2, 2, 2, 2}", [1, 2, 3, 4, 5, 6, 7, 8, 8, 7, 6, 5, 4, 3, 2, 1])
+b1 = Parameter("op3", "TENSOR_FLOAT32", "{1}", [-200])
+output = Output("op4", "TENSOR_FLOAT32", "{1, 2, 2, 2}")
+act = Int32Scalar("act", 0) # None activation
+layout = Int32Scalar("layout", 0) # NHWC
+pad = Int32Scalar("param", 1)
+stride0 = Int32Scalar("param1", 1)
+stride1 = Int32Scalar("param2", 1)
+
+model = model.Operation("CONV_2D", i1, f1, b1, pad, stride0, stride1, act, layout).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+          [1, 2, 3, 4, 5, 6, 7, 8]}
+
+output0 = {output: # output 0
+           [204, 120, 94, 104, 70, 164, 23, 112]}
+
+quant8 = DataTypeConverter(name="quantized").Identify({
+    i1: ("TENSOR_QUANT8_ASYMM", 0.5, 128),
+    f1: ("TENSOR_QUANT8_ASYMM", 0.25, 128),
+    b1: ("TENSOR_INT32", 0.125, 0),
+    output: ("TENSOR_QUANT8_ASYMM", 2, 100)
+})
+nchw = DataLayoutConverter("NCHW", name="nchw_layout").Identify([i1, f1, output], [layout])
+relu = ActivationConverter("relu", name="act").Identify([output], [act])
+relu6 = ActivationConverter("relu6").Identify([output], [act])
+weight_as_input = ParameterAsInputConverter(name="w_as_input").Identify([f1])
+relax = RelaxedModeConverter(True, name="float_relaxed")
+
+# Instantiate an example
+# Will produce cartesian product of
+# [nhwc, nchw_layout] * [act, relu6] * [w_as_param, w_as_input] * [float, float_relaxed, quantized]
+# 24 variations
+Example(
+    (input0, output0), name="example_name"
+).AddVariations(
+    nchw, defaultName="nhwc"
+).AddVariations(
+    relu, relu6, includeDefault=False
+).AddVariations(
+    weight_as_input, defaultName="w_as_param"
+).AddVariations(
+    relax, quant8, defaultName="float"
+)