commit 7485d5a62685cb745ab50e970adb722cb71557ac
author Vidhya Sudhan Loganathan <vidhyasudhan.loganathan@arm.com> Wed Jul 04 09:34:00 2018 +0100
committer Anthony Barbier <anthony.barbier@arm.com> Fri Nov 02 16:54:10 2018 +0000
tree ba01b99ca466c93edc9a3f8c1e34394ff84be060
parent 014333d73883c3872e458cedda5ccef586a7ccd4

COMPMID-970 : Remove QS8 / QS16 support

Removed fixed point related code.

Change-Id: I487acf138dace3b0450e0d72ca7071eaec254566
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/137678
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

tests/validation/NEON/LocallyConnected.cpp

diff --git a/tests/validation/NEON/LocallyConnected.cpp b/tests/validation/NEON/LocallyConnected.cpp
index 0c36ff6..bd0999d 100644
--- a/tests/validation/NEON/LocallyConnected.cpp
+++ b/tests/validation/NEON/LocallyConnected.cpp
@@ -51,41 +51,41 @@
 // *INDENT-OFF*
 // clang-format off
 DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(
-    framework::dataset::make("InputInfo",  { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Mismatching data type input/weights
-                                             TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Mismatching data type input/bias
-                                             TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Mismatching data type input/output
-                                             TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Mismatching shape input/weights
-                                             TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Mismatching shape input/bias
-                                             TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Mismatching shape input/output
-                                             TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0), // Asymmetric padding
-                                             TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32, 0)
+    framework::dataset::make("InputInfo",  { TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching data type input/weights
+                                             TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching data type input/bias
+                                             TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching data type input/output
+                                             TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching shape input/weights
+                                             TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching shape input/bias
+                                             TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Mismatching shape input/output
+                                             TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32), // Asymmetric padding
+                                             TensorInfo(TensorShape(23U, 27U, 5U), 1, DataType::F32)
                                            }),
-    framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F16, 0),
-                                             TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32, 0),
-                                             TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32, 0),
-                                             TensorInfo(TensorShape(3U, 3U, 5U, 21U, 274U), 1, DataType::F32, 0),
-                                             TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32, 0),
-                                             TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32, 0),
-                                             TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32, 0),
-                                             TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32, 0)
+    framework::dataset::make("WeightsInfo",{ TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F16),
+                                             TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32),
+                                             TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32),
+                                             TensorInfo(TensorShape(3U, 3U, 5U, 21U, 274U), 1, DataType::F32),
+                                             TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32),
+                                             TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32),
+                                             TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32),
+                                             TensorInfo(TensorShape(3U, 3U, 5U, 21U, 275U), 1, DataType::F32)
                                            })),
-    framework::dataset::make("BiasInfo",   { TensorInfo(TensorShape(21U, 275U), 1, DataType::F32, 0),
-                                             TensorInfo(TensorShape(21U, 275U), 1, DataType::F16, 0),
-                                             TensorInfo(TensorShape(21U, 275U), 1, DataType::F32, 0),
-                                             TensorInfo(TensorShape(21U, 275U), 1, DataType::F32, 0),
-                                             TensorInfo(TensorShape(21U, 274U), 1, DataType::F32, 0),
-                                             TensorInfo(TensorShape(21U, 275U), 1, DataType::F32, 0),
-                                             TensorInfo(TensorShape(21U, 275U), 1, DataType::F32, 0),
-                                             TensorInfo(TensorShape(21U, 275U), 1, DataType::F32, 0)
+    framework::dataset::make("BiasInfo",   { TensorInfo(TensorShape(21U, 275U), 1, DataType::F32),
+                                             TensorInfo(TensorShape(21U, 275U), 1, DataType::F16),
+                                             TensorInfo(TensorShape(21U, 275U), 1, DataType::F32),
+                                             TensorInfo(TensorShape(21U, 275U), 1, DataType::F32),
+                                             TensorInfo(TensorShape(21U, 274U), 1, DataType::F32),
+                                             TensorInfo(TensorShape(21U, 275U), 1, DataType::F32),
+                                             TensorInfo(TensorShape(21U, 275U), 1, DataType::F32),
+                                             TensorInfo(TensorShape(21U, 275U), 1, DataType::F32)
                                            })),
-    framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0),
-                                             TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0),
-                                             TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F16, 0),
-                                             TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0),
-                                             TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0),
-                                             TensorInfo(TensorShape(11U, 25U, 22U), 1, DataType::F32, 0),
-                                             TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0),
-                                             TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32, 0)
+    framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32),
+                                             TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32),
+                                             TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F16),
+                                             TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32),
+                                             TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32),
+                                             TensorInfo(TensorShape(11U, 25U, 22U), 1, DataType::F32),
+                                             TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32),
+                                             TensorInfo(TensorShape(11U, 25U, 21U), 1, DataType::F32)
                                            })),
     framework::dataset::make("PadStride",  { PadStrideInfo(2, 1, 0, 0),
                                              PadStrideInfo(2, 1, 0, 0),