commit d24affe0abefe8f4a83c7d4487386920895fd2e7
author Sang-Hoon Park <sang-hoon.park@arm.com> Tue Oct 08 18:07:23 2019 +0100
committer Sang-Hoon Park <sang-hoon.park@arm.com> Wed Oct 16 12:14:41 2019 +0000
tree 8ccdf4891b2107f49814002817e6895f201686a7
parent 7c60c990fbed62aab1369c0e4462c4081dc3cfeb

COMPMID-2265 add support for Log Softmax to NEON

Kernel (NEON/reference), validation tests, function and fixture
are updated to add support for Log Softmax

Change-Id: I641dbf1552f4128c691af8875949ebf88da71ee8
Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Reviewed-on: https://review.mlplatform.org/c/2075
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>

tests/validation/fixtures/SoftmaxLayerFixture.h

diff --git a/tests/validation/fixtures/SoftmaxLayerFixture.h b/tests/validation/fixtures/SoftmaxLayerFixture.h
index e39ee74..f747ab3 100644
--- a/tests/validation/fixtures/SoftmaxLayerFixture.h
+++ b/tests/validation/fixtures/SoftmaxLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2018 ARM Limited.
+ * Copyright (c) 2017-2019 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -32,6 +32,7 @@
 #include "tests/IAccessor.h"
 #include "tests/framework/Asserts.h"
 #include "tests/framework/Fixture.h"
+#include "tests/validation/reference/LogSoftmaxLayer.h"
 #include "tests/validation/reference/SoftmaxLayer.h"
 
 #include <random>
@@ -42,7 +43,7 @@
 {
 namespace validation
 {
-template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T, bool IS_LOG = false>
 class SoftmaxValidationGenericFixture : public framework::Fixture
 {
 public:
@@ -110,7 +111,14 @@
         // Fill reference
         fill(src);
 
-        return reference::softmax_layer<T>(src, beta, axis);
+        if(IS_LOG)
+        {
+            return reference::log_softmax_layer<T>(src, beta, axis);
+        }
+        else
+        {
+            return reference::softmax_layer<T>(src, beta, axis);
+        }
     }
 
     TensorType       _target{};
@@ -118,33 +126,33 @@
     QuantizationInfo _quantization_info{};
 };
 
-template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
-class SoftmaxValidationFixture : public SoftmaxValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T, bool IS_LOG = false>
+class SoftmaxValidationFixture : public SoftmaxValidationGenericFixture<TensorType, AccessorType, FunctionType, T, IS_LOG>
 {
 public:
     template <typename...>
     void setup(TensorShape shape, DataType data_type, float beta, size_t axis)
     {
-        SoftmaxValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape,
-                                                                                          data_type,
-                                                                                          QuantizationInfo(),
-                                                                                          beta,
-                                                                                          axis);
+        SoftmaxValidationGenericFixture<TensorType, AccessorType, FunctionType, T, IS_LOG>::setup(shape,
+                                                                                                  data_type,
+                                                                                                  QuantizationInfo(),
+                                                                                                  beta,
+                                                                                                  axis);
     }
 };
 
-template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
-class SoftmaxValidationQuantizedFixture : public SoftmaxValidationGenericFixture<TensorType, AccessorType, FunctionType, T>
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T, bool IS_LOG = false>
+class SoftmaxValidationQuantizedFixture : public SoftmaxValidationGenericFixture<TensorType, AccessorType, FunctionType, T, IS_LOG>
 {
 public:
     template <typename...>
     void setup(TensorShape shape, DataType data_type, QuantizationInfo quantization_info, float beta, size_t axis)
     {
-        SoftmaxValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(shape,
-                                                                                          data_type,
-                                                                                          quantization_info,
-                                                                                          beta,
-                                                                                          axis);
+        SoftmaxValidationGenericFixture<TensorType, AccessorType, FunctionType, T, IS_LOG>::setup(shape,
+                                                                                                  data_type,
+                                                                                                  quantization_info,
+                                                                                                  beta,
+                                                                                                  axis);
     }
 };
 } // namespace validation