#include "NodeExecution.h"
+#include "NodeDataImpl.h"
+
#include <stdexcept>
namespace locomotiv
{
-void NodeExecution::execute(loco::Push *)
+void NodeExecution::execute(loco::Push *push)
{
- // to be filled
- throw std::runtime_error("NYI");
+ auto from_data = annot_data(push->from());
+
+ if (!from_data)
+ {
+ throw std::runtime_error("Ingredient not ready");
+ }
+
+ switch (from_data->dtype())
+ {
+ case loco::DataType::S32:
+ {
+ auto from_bufptr = from_data->as_s32_bufptr();
+ auto push_data = make_data(*from_bufptr);
+ erase_annot_data(push);
+ annot_data(push, std::move(push_data));
+ return;
+ }
+ case loco::DataType::FLOAT32:
+ {
+ auto from_bufptr = from_data->as_f32_bufptr();
+ auto push_data = make_data(*from_bufptr);
+ erase_annot_data(push);
+ annot_data(push, std::move(push_data));
+ return;
+ }
+ default:
+ throw std::runtime_error("NYI for this DataType");
+ }
}
} // namespace locomotiv
--- /dev/null
+/*
+ * 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 "locomotiv/NodeData.h"
+#include "NodeDataImpl.h"
+
+#include <nncc/core/ADT/tensor/Shape.h>
+#include <nncc/core/ADT/tensor/Buffer.h>
+#include <nncc/core/ADT/tensor/LexicalLayout.h>
+
+#include <gtest/gtest.h>
+
+using nncc::core::ADT::tensor::Index;
+using nncc::core::ADT::tensor::Shape;
+using nncc::core::ADT::tensor::LexicalLayout;
+using nncc::core::ADT::tensor::make_buffer;
+
+TEST(NodeExecution_Push, s32)
+{
+ // Make pull-push graph
+ auto g = loco::make_graph();
+ auto pull = g->nodes()->create<loco::Pull>();
+ pull->dtype(loco::DataType::S32);
+ pull->rank(1);
+ pull->dim(0) = loco::make_dimension(1);
+ auto push = g->nodes()->create<loco::Push>();
+ push->from(pull);
+
+ // Make and assign data to pull node
+ auto pull_buf = make_buffer<int32_t, LexicalLayout>(Shape{1});
+ pull_buf.at(Index{0}) = 42;
+ auto pull_data = locomotiv::make_data(pull_buf);
+ locomotiv::annot_data(pull, std::move(pull_data));
+
+ locomotiv::NodeExecution::get().run(push);
+
+ auto push_data = locomotiv::annot_data(push);
+ ASSERT_NE(push_data, nullptr);
+ ASSERT_EQ(push_data->dtype(), loco::DataType::S32);
+ ASSERT_EQ(*(push_data->shape()), Shape{1});
+ ASSERT_EQ(push_data->as_s32_bufptr()->at(Index{0}), pull_buf.at(Index{0}));
+}
+
+TEST(NodeExecution_Push, f32)
+{
+ // Make pull-push graph
+ auto g = loco::make_graph();
+ auto pull = g->nodes()->create<loco::Pull>();
+ pull->dtype(loco::DataType::FLOAT32);
+ pull->rank(1);
+ pull->dim(0) = loco::make_dimension(1);
+ auto push = g->nodes()->create<loco::Push>();
+ push->from(pull);
+
+ // Make and assign data to pull node
+ auto pull_buf = make_buffer<float, LexicalLayout>(Shape{1});
+ pull_buf.at(Index{0}) = 3.14f;
+ auto pull_data = locomotiv::make_data(pull_buf);
+ locomotiv::annot_data(pull, std::move(pull_data));
+
+ locomotiv::NodeExecution::get().run(push);
+
+ auto push_data = locomotiv::annot_data(push);
+ ASSERT_NE(push_data, nullptr);
+ ASSERT_EQ(push_data->dtype(), loco::DataType::FLOAT32);
+ ASSERT_EQ(*(push_data->shape()), Shape{1});
+ ASSERT_FLOAT_EQ(push_data->as_f32_bufptr()->at(Index{0}), pull_buf.at(Index{0}));
+}