Publishing R4 (#41)

* Publishing R4

1 files changed, 22 insertions, 5 deletions

diff --git a/inference-engine/thirdparty/clDNN/src/include/deconvolution_inst.h b/inference-engine/thirdparty/clDNN/src/include/deconvolution_inst.h
index 446715954..a2e1516f2 100644
--- a/inference-engine/thirdparty/clDNN/src/include/deconvolution_inst.h
+++ b/inference-engine/thirdparty/clDNN/src/include/deconvolution_inst.h
@@ -42,9 +42,9 @@ public:
     void set_depthwise_sep_opt(bool node_depthwise_sep_opt) { depthwise_sep_opt = node_depthwise_sep_opt; }
     bool get_depthwise_sep_opt() const { return depthwise_sep_opt; }
 
-    decltype(auto) input() const { return get_dependency(0); }
+    program_node& input() const { return get_dependency(0); }
 
-    decltype(auto) weights(size_t idx = 0) const
+    program_node& weights(size_t idx = 0) const
     {
         if (static_cast<int32_t>(idx) >= get_split())
             throw std::range_error("weights offset too big");
@@ -52,7 +52,7 @@ public:
         return get_dependency(1 + idx);
     }
 
-    decltype(auto) bias(size_t idx = 0) const
+    program_node& bias(size_t idx = 0) const
     { 
         if (static_cast<int32_t>(idx) >= get_split())
             throw std::range_error("bias offset too big");
@@ -68,6 +68,23 @@ public:
             return false;
     }
 
+    program_node& fused_sum(size_t idx = 0) const
+    {
+        if (static_cast<int32_t>(idx) > 0)
+            throw std::range_error("Only one input for fused sum is supported");
+
+        int d_idx = 1 + this->get_split() + idx;
+        d_idx += bias_term() ? this->get_split() : 0;
+        return get_dependency(d_idx);
+    }
+
+    bool has_fused_sum() const
+    {
+        int d_idx = 1 + this->get_split();
+        d_idx += bias_term() ? this->get_split() : 0;
+        return static_cast<int>(dependencies.size()) == (d_idx + 1);
+    }
+
 private:
     int32_t split;
     bool depthwise_sep_opt;
@@ -87,7 +104,7 @@ public:
 public:
     typed_primitive_inst(network_impl& network, deconvolution_node const& node);
 
-    decltype(auto) weights_memory(size_t index) const
+    memory_impl& weights_memory(size_t index) const
     {
         if (static_cast<int32_t>(index) >= node.get_split())
             throw std::range_error("weights offset too big");
@@ -95,7 +112,7 @@ public:
         return dep_memory(1 + index);
     }
 
-    decltype(auto) bias_memory(size_t index) const
+    memory_impl& bias_memory(size_t index) const
     {
         if (argument.bias.size() == 0 && static_cast<int32_t>(index) >= node.get_split())
             throw std::range_error("no bias data");