1 files changed, 90 insertions, 0 deletions
diff --git a/compiler/locomotiv/src/Node/Reshape.cpp b/compiler/locomotiv/src/Node/Reshape.cpp
new file mode 100644
index 000000000..ac1672024
--- /dev/null
+++ b/compiler/locomotiv/src/Node/Reshape.cpp
@@ -0,0 +1,90 @@
+/*
+ * 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 "NodeExecution.h"
+
+#include "NodeDataImpl.h"
+#include "NodeDomain.h"
+#include "Validation.h"
+
+#include <nncc/core/ADT/tensor/Shape.h>
+#include <nncc/core/ADT/tensor/Buffer.h>
+#include <nncc/core/ADT/tensor/Index.h>
+#include <nncc/core/ADT/tensor/IndexEnumerator.h>
+#include <nncc/core/ADT/tensor/LexicalLayout.h>
+
+using nncc::core::ADT::tensor::IndexEnumerator;
+using nncc::core::ADT::tensor::LexicalLayout;
+using nncc::core::ADT::tensor::make_buffer;
+using nncc::core::ADT::tensor::num_elements;
+
+#include <cassert>
+#include <stdexcept>
+#include <cstring>
+#include <vector>
+
+namespace locomotiv
+{
+
+void NodeExecution::execute(loco::Reshape<loco::ReshapeType::Fixed> *reshape)
+{
+  auto input_data = annot_data(reshape->input());
+
+  validate(input_data, "Input not ready");
+  validate(annot_domain(reshape->input()) == loco::Domain::Tensor,
+           "Input domain of Reshape is not Tensor");
+
+  std::unique_ptr<NodeData> reshape_data = nullptr;
+
+  switch (input_data->dtype())
+  {
+    case loco::DataType::FLOAT32:
+    {
+      auto input_bufptr = input_data->as_f32_bufptr();
+      auto *input_shape = input_data->shape();
+
+      using Shape = nncc::core::ADT::tensor::Shape;
+      std::unique_ptr<Shape> output_shape(new Shape());
+
+      output_shape->resize(reshape->rank());
+      for (uint32_t axis = 0; axis < output_shape->rank(); ++axis)
+      {
+        output_shape->dim(axis) = reshape->dim(axis).value();
+      }
+
+      auto reshape_bufptr = make_buffer<float, LexicalLayout>(*output_shape);
+
+      float *input_ptr = const_cast<float *>(input_bufptr->base());
+      uint64_t input_len = num_elements(*input_shape) * sizeof(float);
+
+      float *output_ptr = reshape_bufptr.base();
+
+      assert(input_len == num_elements(*output_shape) * sizeof(float));
+      memcpy(output_ptr, input_ptr, input_len);
+
+      reshape_data = make_data(reshape_bufptr);
+      break;
+    }
+    default:
+      throw std::runtime_error("NYI for this DataType");
+  }
+
+  assert(reshape_data != nullptr);
+  annot_data(reshape, std::move(reshape_data));
+  annot_domain(reshape, annot_domain(reshape->input()));
+}
+
+} // namespace locomotiv