1 files changed, 69 insertions, 0 deletions
diff --git a/inference-engine/thirdparty/clDNN/src/include/scale_grad_weights_inst.h b/inference-engine/thirdparty/clDNN/src/include/scale_grad_weights_inst.h
new file mode 100644
index 000000000..a7183dd83
--- /dev/null
+++ b/inference-engine/thirdparty/clDNN/src/include/scale_grad_weights_inst.h
@@ -0,0 +1,69 @@
+/*
+// Copyright (c) 2018 Intel Corporation
+//
+// 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.
+*/
+
+///////////////////////////////////////////////////////////////////////////////////////////////////
+#pragma once
+#include "api/CPP/scale_grad_weights.hpp"
+#include "primitive_inst.h"
+
+namespace cldnn
+{
+
+template <>
+struct typed_program_node<scale_grad_weights> : public typed_program_node_base<scale_grad_weights>
+{
+    using parent = typed_program_node_base<scale_grad_weights>;
+
+public:
+    using parent::parent;
+
+    decltype(auto) input() const { return get_dependency(0); }
+    decltype(auto) input_grad() const { return get_dependency(1); };
+    decltype(auto) weights() const { return get_dependency(2); }
+    decltype(auto) bias() const { return get_dependency(3); }
+    decltype(auto) prev_scale_grad() const { return bias_term() ? get_dependency(4) : get_dependency(3); }
+    decltype(auto) prev_bias_grad() const { return get_dependency(5); }
+
+    bool use_momentum() const { return !get_primitive()->prev_scale_grad.empty(); }
+    bool bias_term() const { return get_dependencies().size() > 3; }
+};
+
+using scale_grad_weights_node = typed_program_node<scale_grad_weights>;
+
+template <>
+class typed_primitive_inst<scale_grad_weights> : public typed_primitive_inst_base<scale_grad_weights>
+{
+    using parent = typed_primitive_inst_base<scale_grad_weights>;
+
+public:
+    static layout calc_output_layout(scale_grad_weights_node const& node);
+    static std::string to_string(scale_grad_weights_node const& node);
+
+public:
+    typed_primitive_inst(network_impl& network, scale_grad_weights_node const& desc);
+
+    decltype(auto) weights_memory() const { return dep_memory(2); }
+    decltype(auto) bias_memory() const { return dep_memory(3); }
+    decltype(auto) prev_scale_grad() const { return bias_term() ? dep_memory(4) : dep_memory(3); }
+    decltype(auto) prev_bias_grad() const { return dep_memory(5); }
+
+    bool use_momentum() const { return !argument.prev_scale_grad.empty(); }
+    bool bias_term() const { return _deps.size() > 3; }
+};
+
+using scale_grad_weights_inst = typed_primitive_inst<scale_grad_weights>;
+
+}