1 files changed, 47 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/concat_quant8_3.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/concat_quant8_3.mod.py
new file mode 100644
index 000000000..87a94bbf1
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+++ b/runtimes/tests/neural_networks_test/specs/V1_0/concat_quant8_3.mod.py
@@ -0,0 +1,47 @@
+#
+# 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()
+
+row = 400
+col1 = 60
+col2 = 30
+output_col = col1 + col2
+
+input1 = Input("input1", "TENSOR_QUANT8_ASYMM", "{%d, %d}, 0.5f, 0" % (row, col1))
+input2 = Input("input2", "TENSOR_QUANT8_ASYMM", "{%d, %d}, 0.5f, 0" % (row, col2))
+axis1 = Int32Scalar("axis1", 1)
+output = Output("output", "TENSOR_QUANT8_ASYMM", "{%d, %d}, 0.5f, 0" % (row, output_col))
+model = model.Operation("CONCATENATION", input1, input2, axis1).To(output)
+
+# Example 1.
+input1_values = [(x % 128 + 128) for x in range(row * col1)]
+input2_values = [x % 128 for x in range(row * col2)]
+input0 = {input1: input1_values,
+          input2: input2_values}
+
+output_values = [x for x in range(row * output_col)]
+for r in range(row):
+  for c1 in range(col1):
+    output_values[r * output_col + c1] = input1_values[r * col1 + c1]
+  for c2 in range(col2):
+    output_values[r * output_col + col1 + c2] = input2_values[r * col2 + c2]
+
+output0 = {output: output_values}
+
+# Instantiate an example
+Example((input0, output0))