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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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.
*/
/*!
* Copyright (c) 2016 by Contributors
* \file caffe_op.cc
* \brief caffe operator
* \author Haoran Wang
*/
#include "./caffe_op-inl.h"
namespace mxnet {
namespace op {
template<>
Operator* CreateOp<cpu>(CaffeOpParam param, int dtype) {
Operator *op = NULL;
switch (dtype) {
case mshadow::kFloat32:
op = new CaffeOp<cpu, float>(param);
break;
case mshadow::kFloat64:
op = new CaffeOp<cpu, double>(param);
break;
case mshadow::kFloat16:
LOG(FATAL) << "float16 layer is not supported by caffe";
break;
default:
LOG(FATAL) << "Unsupported type " << dtype;
}
return op;
}
// DO_BIND_DISPATCH comes from static_operator_common.h
Operator *CaffeOpProp::CreateOperatorEx(Context ctx, mxnet::ShapeVector *in_shape,
std::vector<int> *in_type) const {
std::vector<int> out_type, aux_type;
mxnet::ShapeVector out_shape, aux_shape;
out_type.resize(this->ListOutputs().size());
out_shape.resize(this->ListOutputs().size());
aux_type.resize(this->ListAuxiliaryStates().size());
aux_shape.resize(this->ListAuxiliaryStates().size());
CHECK(InferType(in_type, &out_type, &aux_type));
CHECK(InferShape(in_shape, &out_shape, &aux_shape));
DO_BIND_DISPATCH(CreateOp, param_, (*in_type)[0]);
}
DMLC_REGISTER_PARAMETER(CaffeOpParam);
MXNET_REGISTER_OP_PROPERTY(CaffeOp, CaffeOpProp)
.describe("Apply caffe operator")
.add_argument("data", "Symbol[]", "List of tensors")
.add_arguments(CaffeOpParam::__FIELDS__());
} // namespace op
} // namespace mxnet