Add quant8 signed generated tests

The tests are written semi-automatically by joining all of the 1.0-1.2
tests with TENSOR_QUANT8_ASYMM operands and converting them to
TENSOR_QUANT8_ASYMM_SIGNED.

Also:
* Fix implementation of CONCATENATION op for zero-sized tensors
* Add support for TENSOR_QUANT8_ASYMM_SIGNED in test generator

Bug: 136735770
Test: NNTest_static and VtsHalNeuralnetworksV1_3TargetTest
Change-Id: I250dbe85684aa594892494eb53e6312c1cacb6f3

1 files changed, 62 insertions, 0 deletions

diff --git a/nn/runtime/test/specs/V1_3/not_equal_quant8_signed.mod.py b/nn/runtime/test/specs/V1_3/not_equal_quant8_signed.mod.py
new file mode 100644
index 000000000..285c41d09
--- /dev/null
+++ b/nn/runtime/test/specs/V1_3/not_equal_quant8_signed.mod.py
@@ -0,0 +1,62 @@
+#
+# 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.
+#
+def test(name, input0, input1, output0, input0_data, input1_data, output_data):
+  model = Model().Operation("NOT_EQUAL", input0, input1).To(output0)
+  example = Example({
+      input0: input0_data,
+      input1: input1_data,
+      output0: output_data,
+  }, model=model, name=name)
+
+test(
+    name="quantized_different_scale",
+    input0=Input("input0", ("TENSOR_QUANT8_ASYMM_SIGNED", [3], 1.0, 0)),
+    input1=Input("input1", ("TENSOR_QUANT8_ASYMM_SIGNED", [1], 2.0, 0)),
+    output0=Output("output0", "TENSOR_BOOL8", "{3}"),
+    input0_data=[1, 2, 3], # effectively 1, 2, 3
+    input1_data=[1],       # effectively 2
+    output_data=[True, False, True],
+)
+
+test(
+    name="quantized_different_zero_point",
+    input0=Input("input0", ("TENSOR_QUANT8_ASYMM_SIGNED", [3], 1.0, 0)),
+    input1=Input("input1", ("TENSOR_QUANT8_ASYMM_SIGNED", [1], 1.0, 1)),
+    output0=Output("output0", "TENSOR_BOOL8", "{3}"),
+    input0_data=[1, 2, 3], # effectively 1, 2, 3
+    input1_data=[3],       # effectively 2
+    output_data=[True, False, True],
+)
+
+test(
+    name="quantized_overflow_second_input_if_requantized",
+    input0=Input("input0", ("TENSOR_QUANT8_ASYMM_SIGNED", [1], 1.64771, -97)),
+    input1=Input("input1", ("TENSOR_QUANT8_ASYMM_SIGNED", [1], 1.49725, 112)),
+    output0=Output("output0", "TENSOR_BOOL8", "{1}"),
+    input0_data=[-128],
+    input1_data=[72],
+    output_data=[True],
+)
+
+test(
+    name="quantized_overflow_first_input_if_requantized",
+    input0=Input("input0", ("TENSOR_QUANT8_ASYMM_SIGNED", [1], 1.49725, 112)),
+    input1=Input("input1", ("TENSOR_QUANT8_ASYMM_SIGNED", [1], 1.64771, -97)),
+    output0=Output("output0", "TENSOR_BOOL8", "{1}"),
+    input0_data=[72],
+    input1_data=[-128],
+    output_data=[True],
+)