1 files changed, 49 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/conv_quant8_overflow_weights_as_inputs.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/conv_quant8_overflow_weights_as_inputs.mod.py
new file mode 100644
index 000000000..45e977afe
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/specs/V1_0/conv_quant8_overflow_weights_as_inputs.mod.py
@@ -0,0 +1,49 @@
+#
+# Copyright (C) 2017 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()
+i1 = Input("op1", "TENSOR_QUANT8_ASYMM", "{1, 2, 3, 3}, 0.5, 0")
+f1 = Input("op2", "TENSOR_QUANT8_ASYMM", "{3, 1, 1, 3}, 0.5, 0")
+b1 = Input("op3", "TENSOR_INT32", "{3}, 0.25, 0")
+pad0 = Int32Scalar("pad0", 0)
+act = Int32Scalar("act", 0)
+stride = Int32Scalar("stride", 1)
+output = Output("op4",  "TENSOR_QUANT8_ASYMM", "{1, 2, 3, 3}, 1.0, 0")
+
+model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+          [  1,   2,   3,   4,   5,   6,   7,   8,   9,
+             10,  11,  12,  13,  14,  15,  16,  17,  18],
+          f1:
+          [ 10,  40,  70,
+            20,  50,  80,
+            30,  60,  90],
+          b1:
+          [0, 0, 0]}
+
+output0 = {output: # output 0
+           [  75,  90,  105,
+              165, 203, 240,
+              255, 255, 255,
+              255, 255, 255,
+              255, 255, 255,
+              255, 255, 255]
+          }
+
+# Instantiate an example
+Example((input0, output0))