[KLD loss] kld loss scaffolding

This patch add kld loss scaffolding

**Self evaluation:**
1. Build test: [X]Passed [ ]Failed [ ]Skipped
2. Run test: [X]Passed [ ]Failed [ ]Skipped

Signed-off-by: Jihoon Lee <jhoon.it.lee@samsung.com>

diff --git a/jni/Android.mk b/jni/Android.mk
index 43a5328..3272a28 100644 (file)
--- a/jni/Android.mk
+++ b/jni/Android.mk
@@ -152,6 +152,7 @@ NNTRAINER_SRCS := $(NNTRAINER_ROOT)/nntrainer/models/neuralnet.cpp \
                   $(NNTRAINER_ROOT)/nntrainer/layers/bn_layer.cpp \
                   $(NNTRAINER_ROOT)/nntrainer/layers/loss/loss_layer.cpp \
                   $(NNTRAINER_ROOT)/nntrainer/layers/loss/mse_loss_layer.cpp \
+                  $(NNTRAINER_ROOT)/nntrainer/layers/loss/kld_loss_layer.cpp \
                   $(NNTRAINER_ROOT)/nntrainer/layers/loss/cross_entropy_sigmoid_loss_layer.cpp \
                   $(NNTRAINER_ROOT)/nntrainer/layers/loss/cross_entropy_softmax_loss_layer.cpp \
                   $(NNTRAINER_ROOT)/nntrainer/layers/loss/constant_derivative_loss_layer.cpp \

diff --git a/nntrainer/layers/loss/kld_loss_layer.cpp b/nntrainer/layers/loss/kld_loss_layer.cpp
new file mode 100644 (file)
index 0000000..20910c2
--- /dev/null
+++ b/nntrainer/layers/loss/kld_loss_layer.cpp
@@ -0,0 +1,28 @@
+// SPDX-License-Identifier: Apache-2.0
+/**
+ * Copyright (C) 2021 Jihoon Lee <jhoon.it.lee@samsung.com>
+ *
+ * @file   kld_loss_layer.cpp
+ * @date   25 November 2021
+ * @brief  KLD (Kullback-Leibler Divergence) loss implementation
+ * @see    https://github.com/nnstreamer/nntrainer
+ * @author Jihoon Lee <jhoon.it.lee@samsung.com>
+ * @bug    No known bugs except for NYI items
+ *
+ */
+#include <kld_loss_layer.h>
+#include <layer_context.h>
+#include <string>
+#include <vector>
+
+namespace nntrainer {
+KLDLossLayer::KLDLossLayer() {}
+
+KLDLossLayer::~KLDLossLayer() {}
+
+void KLDLossLayer::setProperty(const std::vector<std::string> &values) {}
+
+void KLDLossLayer::forwarding(RunLayerContext &context, bool training) {}
+
+void KLDLossLayer::calcDerivative(RunLayerContext &context) {}
+} // namespace nntrainer

diff --git a/nntrainer/layers/loss/kld_loss_layer.h b/nntrainer/layers/loss/kld_loss_layer.h
new file mode 100644 (file)
index 0000000..30291d7
--- /dev/null
+++ b/nntrainer/layers/loss/kld_loss_layer.h
@@ -0,0 +1,66 @@
+// SPDX-License-Identifier: Apache-2.0
+/**
+ * Copyright (C) 2021 Jihoon Lee <jhoon.it.lee@samsung.com>
+ *
+ * @file   kld_loss_layer.h
+ * @date   25 November 2021
+ * @brief  KLD (Kullback-Leibler Divergence) loss implementation
+ * @see    https://github.com/nnstreamer/nntrainer
+ * @author Jihoon Lee <jhoon.it.lee@samsung.com>
+ * @bug    No known bugs except for NYI items
+ *
+ */
+#ifndef __KLD_LOSS_LAYER_H__
+#define __KLD_LOSS_LAYER_H__
+
+#ifdef __cplusplus
+
+#include <loss_layer.h>
+#include <string>
+#include <vector>
+
+namespace nntrainer {
+
+/**
+ * @class   KLD (Kullback-Leibler Divergence) Loss layer
+ * @brief   kld loss layer
+ */
+class KLDLossLayer final : public LossLayer {
+public:
+  /**
+   * @brief     Constructor of Constant Loss Layer
+   */
+  KLDLossLayer();
+
+  /**
+   * @brief     Destructor of MSE Loss Layer
+   */
+  ~KLDLossLayer();
+
+  /**
+   * @copydoc Layer::setProperty(const std::vector<std::string> &values)
+   */
+  void setProperty(const std::vector<std::string> &values) override;
+
+  /**
+   * @copydoc Layer::forwarding(RunLayerContext &context, bool training)
+   */
+  void forwarding(RunLayerContext &context, bool training) override;
+
+  /**
+   * @copydoc Layer::calcDerivative(RunLayerContext &context)
+   */
+  void calcDerivative(RunLayerContext &context) override;
+
+  /**
+   * @copydoc Layer::getType()
+   */
+  const std::string getType() const override { return KLDLossLayer::type; }
+
+  inline static const std::string type = "kld";
+};
+} // namespace nntrainer
+
+#endif /* __cplusplus */
+
+#endif // __KLD_LOSS_LAYER_H__

diff --git a/nntrainer/layers/loss/meson.build b/nntrainer/layers/loss/meson.build
index 2370b61..9fccd02 100644 (file)
--- a/nntrainer/layers/loss/meson.build
+++ b/nntrainer/layers/loss/meson.build
@@ -1,5 +1,6 @@
 loss_layer_sources = [
   'loss_layer.cpp',
+  'kld_loss_layer.cpp',
   'mse_loss_layer.cpp',
   'cross_entropy_sigmoid_loss_layer.cpp',
   'cross_entropy_softmax_loss_layer.cpp',