1 files changed, 53 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/max_pool_quant8_3.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/max_pool_quant8_3.mod.py
new file mode 100644
index 000000000..e2270aaa6
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/specs/V1_0/max_pool_quant8_3.mod.py
@@ -0,0 +1,53 @@
+#
+# 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 = Model()
+
+bat = 5
+row = 50
+col = 70
+chn = 3
+
+i0 = Input("i0", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, 0.5f, 0" % (bat, row, col, chn))
+
+std = 20
+flt = 20
+pad = 0
+
+stride = Int32Scalar("stride", std)
+filt = Int32Scalar("filter", flt)
+padding = Int32Scalar("padding", pad)
+act2 = Int32Scalar("relu1_activation", 2)
+output_row = (row + 2 * pad - flt + std) // std
+output_col = (col + 2 * pad - flt + std) // std
+
+output = Output("output", "TENSOR_QUANT8_ASYMM",
+                "{%d, %d, %d, %d}, 0.5f, 0" % (bat, output_row, output_col, chn))
+
+model = model.Operation(
+    "MAX_POOL_2D", i0, padding, padding, padding, padding, stride, stride, filt, filt, act2).To(output)
+
+# Example 1. Input in operand 0
+input_range = bat * row * col * chn
+input_values = (lambda s = std, r = input_range: [x % s + 1 for x in range(r)])()
+input0 = {i0: input_values}
+output_range = bat * output_row * output_col * chn
+output_values = (lambda r = output_range: [ 2 for _ in range(r)])()
+output0 = {output: output_values}
+
+# Instantiate an example
+Example((input0, output0))