1 files changed, 45 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/embedding_lookup.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/embedding_lookup.mod.py
new file mode 100644
index 000000000..a012c7fbf
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/specs/V1_0/embedding_lookup.mod.py
@@ -0,0 +1,45 @@
+#
+# 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.
+#
+
+lookups = 3
+rows = 3
+columns = 2
+features = 4
+
+actual_values = [x for x in range(rows * columns * features)]
+for i in range(rows):
+  for j in range(columns):
+    for k in range(features):
+      actual_values[(i * columns + j) * features + k] = i + j / 10. + k / 100.
+
+model = Model()
+index = Input("index", "TENSOR_INT32", "{%d}"%lookups)
+value = Input("value", "TENSOR_FLOAT32", "{%d, %d, %d}" % (rows, columns, features))
+output = Output("output", "TENSOR_FLOAT32", "{%d, %d, %d}" % (lookups, columns, features))
+model = model.Operation("EMBEDDING_LOOKUP", index, value).To(output)
+
+input0 = {index: [1, 0, 2],
+          value: actual_values}
+
+output0 = {output:
+           [
+               1.00, 1.01, 1.02, 1.03, 1.10, 1.11, 1.12, 1.13,  # Row 1
+               0.00, 0.01, 0.02, 0.03, 0.10, 0.11, 0.12, 0.13,  # Row 0
+               2.00, 2.01, 2.02, 2.03, 2.10, 2.11, 2.12, 2.13,  # Row 2
+           ]}
+
+# Instantiate an example
+Example((input0, output0))