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, 103 insertions, 0 deletions

diff --git a/nn/runtime/test/specs/V1_3/split_quant8_signed.mod.py b/nn/runtime/test/specs/V1_3/split_quant8_signed.mod.py
new file mode 100644
index 000000000..d4f6c6d66
--- /dev/null
+++ b/nn/runtime/test/specs/V1_3/split_quant8_signed.mod.py
@@ -0,0 +1,103 @@
+#
+# 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_QUANT8_ASYMM_SIGNED", "{6}, 1.0, -128")
+axis = Int32Scalar("axis", 0)
+num_splits = Int32Scalar("num_splits", 3)
+output0 = Output("output0", "TENSOR_QUANT8_ASYMM_SIGNED", "{2}, 1.0, -128")
+output1 = Output("output1", "TENSOR_QUANT8_ASYMM_SIGNED", "{2}, 1.0, -128")
+output2 = Output("output2", "TENSOR_QUANT8_ASYMM_SIGNED", "{2}, 1.0, -128")
+
+model = Model().Operation("SPLIT", input0, axis, num_splits).To(
+    (output0, output1, output2))
+
+# Example 1.
+input_dict = {input0: [-127, -126, -125, -124, -123, -122]}
+output_dict = {
+    output0: [-127, -126],
+    output1: [-125, -124],
+    output2: [-123, -122],
+}
+
+# Instantiate an example
+Example((input_dict, output_dict)).AddRelaxed()
+
+#######################################################
+
+input0 = Input("input0", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 3}, 2.0, -125")
+axis = Int32Scalar("axis", 0)
+num_splits = Int32Scalar("num_splits", 2)
+output0 = Output("output0", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 3}, 2.0, -125")
+output1 = Output("output1", "TENSOR_QUANT8_ASYMM_SIGNED", "{1, 3}, 2.0, -125")
+
+model = Model().Operation("SPLIT", input0, axis, num_splits).To(
+    (output0, output1))
+
+# Example 1.
+input_dict = {input0: [-127, -126, -125, -124, -123, -122]}
+output_dict = {
+    output0: [-127, -126, -125],
+    output1: [-124, -123, -122],
+}
+
+# Instantiate an example
+Example((input_dict, output_dict)).AddRelaxed()
+
+#######################################################
+
+input0 = Input("input0", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 3}, 2.0, -125")
+axis = Int32Scalar("axis", 1)
+num_splits = Int32Scalar("num_splits", 3)
+output0 = Output("output0", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 1}, 2.0, -125")
+output1 = Output("output1", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 1}, 2.0, -125")
+output2 = Output("output2", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 1}, 2.0, -125")
+
+model = Model().Operation("SPLIT", input0, axis, num_splits).To(
+    (output0, output1, output2))
+
+# Example 1.
+input_dict = {input0: [-127, -126, -125, -124, -123, -122]}
+output_dict = {
+    output0: [-127, -124],
+    output1: [-126, -123],
+    output2: [-125, -122],
+}
+
+# Instantiate an example
+Example((input_dict, output_dict))
+
+#######################################################
+
+input0 = Input("input0", "TENSOR_QUANT8_ASYMM_SIGNED", "{2, 2, 2}, 1.0, -128")
+axis = Int32Scalar("axis", 1)
+num_splits = Int32Scalar("num_splits", 2)
+output0 = Output("output0", "TENSOR_QUANT8_ASYMM_SIGNED",
+                 "{2, 1, 2}, 1.0, -128")
+output1 = Output("output1", "TENSOR_QUANT8_ASYMM_SIGNED",
+                 "{2, 1, 2}, 1.0, -128")
+
+model = Model().Operation("SPLIT", input0, axis, num_splits).To(
+    (output0, output1))
+
+# Example 1.
+input_dict = {input0: [-127, -126, -125, -124, -123, -122, -121, -120]}
+output_dict = {
+    output0: [-127, -126, -123, -122],
+    output1: [-125, -124, -121, -120],
+}
+
+# Instantiate an example
+Example((input_dict, output_dict))