1 files changed, 140 insertions, 0 deletions
diff --git a/nn/runtime/test/specs/V1_3/gather_quant8_signed.mod.py b/nn/runtime/test/specs/V1_3/gather_quant8_signed.mod.py
new file mode 100644
index 000000000..8e34c258d
--- /dev/null
+++ b/nn/runtime/test/specs/V1_3/gather_quant8_signed.mod.py
@@ -0,0 +1,140 @@
+#
+# Copyright (C) 2019 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.
+#
+
+input0 = Input("input0", "TENSOR_FLOAT32", "{1, 3, 2}")
+axis = 1
+indices = Input("indices", "TENSOR_INT32", "{3, 2}")
+output0 = Output("output0", "TENSOR_FLOAT32", "{1, 3, 2, 2}")
+
+model = Model().Operation("GATHER", input0, axis, indices).To(output0)
+
+quant8_signed = DataTypeConverter().Identify({
+    input0: ["TENSOR_QUANT8_ASYMM_SIGNED", 0.5, -1],
+    output0: ["TENSOR_QUANT8_ASYMM_SIGNED", 0.5, -1],
+})
+
+Example({
+    input0: [1, 2,
+             3, 4,
+             5, 6],
+    indices: [2, 0,
+              1, 0,
+              0, 1],
+    output0: [5, 6,
+             1, 2,
+             3, 4,
+             1, 2,
+             1, 2,
+             3, 4],
+}, model=model).AddVariations(quant8_signed, includeDefault=False)
+
+#######################################################
+
+def test(input0, axis, indices, output0, input_data, output_data):
+  model = Model().Operation("GATHER", input0, axis, indices).To(output0)
+
+  quant8_signed = DataTypeConverter().Identify({
+      input0: ["TENSOR_QUANT8_ASYMM_SIGNED", 0.5, -1],
+      output0: ["TENSOR_QUANT8_ASYMM_SIGNED", 0.5, -1],
+  })
+
+  Example({
+      input0: input_data,
+      output0: output_data,
+  }, model=model).AddVariations(quant8_signed, includeDefault=False)
+
+test(
+    input0=Input("input0", "TENSOR_FLOAT32", "{2, 2}"),
+    axis=0,
+    indices=[1, 0],
+    output0=Output("output0", "TENSOR_FLOAT32", "{2, 2}"),
+    input_data=[-2.0, 0.2,
+                 0.7, 0.8],
+    output_data=[0.7, 0.8,
+                -2.0, 0.2],
+)
+
+test(
+    input0=Input("input0", "TENSOR_FLOAT32", "{2, 2}"),
+    axis=0,
+    indices=[1], # Unlike TensorFlow, 0-D arguments and outputs are not supported.
+    output0=Output("output0", "TENSOR_FLOAT32", "{1, 2}"),
+    input_data=[-2.0, 0.2,
+                 0.7, 0.8],
+    output_data=[0.7, 0.8],
+)
+
+test(
+    input0=Input("input0", "TENSOR_FLOAT32", "{3}"),
+    axis=0,
+    indices=[1],
+    output0=Output("output0", "TENSOR_FLOAT32", "{1}"),
+    input_data=[1, 2, 3],
+    output_data=[2],
+)
+
+test(
+    input0=Input("input0", "TENSOR_FLOAT32", "{3}"),
+    axis=0,
+    indices=[1, 0],
+    output0=Output("output0", "TENSOR_FLOAT32", "{2}"),
+    input_data=[1, 2, 3],
+    output_data=[2, 1],
+)
+
+test(
+    input0=Input("input0", "TENSOR_FLOAT32", "{1, 2, 2}"),
+    axis=0,
+    indices=[0, 0],
+    output0=Output("output0", "TENSOR_FLOAT32", "{2, 2, 2}"),
+    input_data=[-2.0, 0.2,
+                 0.7, 0.8],
+    output_data=[-2.0, 0.2,
+                  0.7, 0.8,
+                 -2.0, 0.2,
+                  0.7, 0.8],
+)
+
+test(
+    input0=Input("input0", "TENSOR_FLOAT32", "{4, 1}"),
+    axis=0,
+    indices=[1, 3],
+    output0=Output("output0", "TENSOR_FLOAT32", "{2, 1}"),
+    input_data=[-2.0, 0.2, 0.7, 0.8],
+    output_data=[0.2, 0.8],
+)
+
+test(
+    input0=Input("input0", "TENSOR_FLOAT32", "{1, 2, 3}"),
+    axis=1,
+    indices=[1, 0],
+    output0=Output("output0", "TENSOR_FLOAT32", "{1, 2, 3}"),
+    input_data=[1, 2, 3,
+                4, 5, 6],
+    output_data=[4, 5, 6,
+                 1, 2, 3],
+)
+
+test(
+    input0=Input("input0", "TENSOR_FLOAT32", "{1, 2, 3}"),
+    axis=-1,
+    indices=[2, 0],
+    output0=Output("output0", "TENSOR_FLOAT32", "{1, 2, 2}"),
+    input_data=[1, 2, 3,
+                4, 5, 6],
+    output_data=[3, 1,
+                 6, 4],
+)