graph_builder->build(layer, &opbuilder_context);
}
// TODO move type handlers to separate builder
- else if (layer.type() == "ReLU")
- {
- assert(layer.bottom().size() == 1);
- assert(layer.top().size() == 1);
-
- // PReLU is not supported, yet
- // TODO Support PReLU
- assert(!layer.has_relu_param());
-
- // NOTE The current implementation treats ReLU as Feature op
- // TODO Support ReLU over general tensor
- const auto ifm_name = layer.bottom(0);
- const auto ifm_shape = shape_ctx.at(ifm_name);
- auto ifm_bag = bag_ctx.at(ifm_name);
- auto ifm_obj = module->entity()->object()->create<coco::FeatureObject>();
-
- ifm_obj->bag(ifm_bag);
- ifm_obj->layout(coco::FeatureLayouts::BCHW::create(as_feature_shape(ifm_shape)));
-
- const auto ofm_name = layer.top(0);
- const auto ofm_shape = ifm_shape;
- auto ofm_bag = module->entity()->bag()->create(num_elements(ofm_shape));
- auto ofm_obj = module->entity()->object()->create<coco::FeatureObject>();
-
- ofm_obj->bag(ofm_bag);
- ofm_obj->layout(coco::FeatureLayouts::BCHW::create(as_feature_shape(ofm_shape)));
-
- // Create a Load Op
- auto load = op_builder(module).load(ifm_obj).pop();
-
- // Create a ReLU op
- auto op = module->entity()->op()->create<coco::ReLU>();
-
- op->arg(load);
-
- // Create a Eval instruction
- auto ins = instr_builder(module).eval(ofm_obj, op);
-
- // Append the instruction to the block
- blk->instr()->append(ins);
-
- // Update bag and shape context
- bag_ctx[ofm_name] = ofm_bag;
- shape_ctx[ofm_name] = ofm_shape;
- }
else if (layer.type() == "Concat")
{
assert(layer.bottom().size() > 0);
#include "Op/Convolution.h"
#include "Op/Input.h"
#include "Op/Pooling.h"
+#include "Op/ReLU.h"
#include <stdex/Memory.h>
_builder_map["Convolution"] = make_unique<ConvolutionBuilder>();
_builder_map["Input"] = make_unique<InputBuilder>();
_builder_map["Pooling"] = make_unique<PoolingBuilder>();
+ _builder_map["ReLU"] = make_unique<ReLUBuilder>();
}
} // namespace caffeimport
--- /dev/null
+/*
+ * Copyright (c) 2018 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 "ReLU.h"
+#include "IRBuilder.h"
+
+#include <coco/IR/FeatureLayouts.h>
+
+#include <morph/caffe.h>
+
+#include <cassert>
+
+using namespace nncc::core::ADT;
+using namespace morph::caffe;
+
+namespace caffeimport
+{
+
+void ReLUBuilder::build(const ::caffe::LayerParameter &layer, GraphBuilderContext *context) const
+{
+ coco::Module *module = context->module();
+ coco::Block *blk = context->block();
+ std::map<std::string, tensor::Shape> &shape_ctx = context->shape_ctx();
+ std::map<std::string, coco::Bag *> &bag_ctx = context->bag_ctx();
+
+ assert(layer.bottom().size() == 1);
+ assert(layer.top().size() == 1);
+
+ // PReLU is not supported, yet
+ // TODO Support PReLU
+ assert(!layer.has_relu_param());
+
+ // NOTE The current implementation treats ReLU as Feature op
+ // TODO Support ReLU over general tensor
+ const auto ifm_name = layer.bottom(0);
+ const auto ifm_shape = shape_ctx.at(ifm_name);
+ auto ifm_bag = bag_ctx.at(ifm_name);
+ auto ifm_obj = module->entity()->object()->create<coco::FeatureObject>();
+
+ ifm_obj->bag(ifm_bag);
+ ifm_obj->layout(coco::FeatureLayouts::BCHW::create(as_feature_shape(ifm_shape)));
+
+ const auto ofm_name = layer.top(0);
+ const auto ofm_shape = ifm_shape;
+ auto ofm_bag = module->entity()->bag()->create(num_elements(ofm_shape));
+ auto ofm_obj = module->entity()->object()->create<coco::FeatureObject>();
+
+ ofm_obj->bag(ofm_bag);
+ ofm_obj->layout(coco::FeatureLayouts::BCHW::create(as_feature_shape(ofm_shape)));
+
+ // Create a Load Op
+ auto load = op_builder(module).load(ifm_obj).pop();
+
+ // Create a ReLU op
+ auto op = module->entity()->op()->create<coco::ReLU>();
+
+ op->arg(load);
+
+ // Create a Eval instruction
+ auto ins = instr_builder(module).eval(ofm_obj, op);
+
+ // Append the instruction to the block
+ blk->instr()->append(ins);
+
+ // Update bag and shape context
+ bag_ctx[ofm_name] = ofm_bag;
+ shape_ctx[ofm_name] = ofm_shape;
+}
+
+} // namespace caffeimport
--- /dev/null
+/*
+ * Copyright (c) 2018 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.
+ */
+
+#ifndef __RELU_BUILDER_H__
+#define __RELU_BUILDER_H__
+
+#include "GraphBuilder.h"
+
+#include "Context.h"
+
+namespace caffeimport
+{
+
+class ReLUBuilder final : public GraphBuilder
+{
+public:
+ void build(const ::caffe::LayerParameter &layer, GraphBuilderContext *context) const override;
+};
+
+} // namespace caffeimport
+
+#endif // __RELU_BUILDER_H__