1 files changed, 97 insertions, 0 deletions
diff --git a/runtimes/neurun/core/src/backend/CustomKernel.cc b/runtimes/neurun/core/src/backend/CustomKernel.cc
new file mode 100644
index 000000000..198e223cf
--- /dev/null
+++ b/runtimes/neurun/core/src/backend/CustomKernel.cc
@@ -0,0 +1,97 @@
+/*
+ * Copyright (c) 2019 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * 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.
+ */
+
+#include "backend/CustomKernel.h"
+
+namespace neurun
+{
+namespace backend
+{
+namespace custom
+{
+
+// TODO move this elsewhere
+class APIConverter
+{
+public:
+  static nnfw_operand convertOperand(void *alloc, const TypeInfo &type)
+  {
+    nnfw_operand api_operand;
+    api_operand.allocation = alloc;
+    api_operand.type = convertType(type);
+    return api_operand;
+  }
+
+  static nnfw_tensorinfo convertType(const TypeInfo &type)
+  {
+    nnfw_tensorinfo api_type;
+    api_type.rank = type.shape.rank();
+    assert(type.shape.rank() <= 6);
+    std::copy(type.shape.dims().begin(), type.shape.dims().end(), std::begin(api_type.dims));
+
+    switch (type.dtype)
+    {
+      case model::DataType::FLOAT32:
+        api_type.dtype = NNFW_TYPE_TENSOR_FLOAT32;
+        break;
+      case model::DataType::INT32:
+        api_type.dtype = NNFW_TYPE_TENSOR_INT32;
+        break;
+      case model::DataType::QUANT8_ASYMM:
+        api_type.dtype = NNFW_TYPE_TENSOR_QUANT8_ASYMM;
+        break;
+      case model::DataType::BOOL8:
+        api_type.dtype = NNFW_TYPE_TENSOR_BOOL;
+        break;
+      default:
+        throw std::runtime_error("Unsupported tensor datatype");
+    }
+    return api_type;
+  }
+};
+
+Kernel::Kernel(const nnfw_custom_eval evalFunction)
+    : _params(), _userdata(nullptr), _userdata_size(0), _evalFunction(evalFunction)
+{
+}
+
+void Kernel::configure(Kernel::CustomKernelConfigParams &&inParams)
+{
+  _userdata = inParams.userdata;
+  _userdata_size = inParams.userdata_size;
+
+  _params.ninputs = inParams.input_allocations.size();
+  _params.inputs = new nnfw_operand[_params.ninputs];
+  for (size_t i = 0; i < _params.ninputs; ++i)
+  {
+    _params.inputs[i] =
+        APIConverter::convertOperand(inParams.input_allocations[i], inParams.input_types[i]);
+  }
+
+  _params.noutputs = inParams.output_allocations.size();
+  _params.outputs = new nnfw_operand[_params.noutputs];
+  for (size_t i = 0; i < _params.noutputs; ++i)
+  {
+    _params.outputs[i] =
+        APIConverter::convertOperand(inParams.output_allocations[i], inParams.output_types[i]);
+  }
+}
+
+void Kernel::run() { _evalFunction(&_params, _userdata, _userdata_size); }
+
+} // namespace custom
+} // namespace backend
+} // namespace neurun