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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. | ||
*/ | ||
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/*! | ||
* Copyright (c) 2019 by Contributors | ||
* \file np_reduce_op_value.cc | ||
* \brief CPU Implementation of broadcast and reduce functions based on value. | ||
*/ | ||
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#include "np_median.h" | ||
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namespace mxnet { | ||
namespace op { | ||
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DMLC_REGISTER_PARAMETER(NumpyMedianParam); | ||
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inline bool NumpyMedianType(const nnvm::NodeAttrs& attrs, | ||
std::vector<int> *in_attrs, | ||
std::vector<int> *out_attrs) { | ||
CHECK_EQ(in_attrs->size(), 1U); | ||
CHECK_EQ(out_attrs->size(), 1U); | ||
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TYPE_ASSIGN_CHECK(*out_attrs, 0, mshadow::kFloat32); | ||
return out_attrs->at(0) != -1 && in_attrs->at(0) != -1; | ||
} | ||
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NNVM_REGISTER_OP(_npi_median) | ||
.set_num_inputs(1) | ||
.set_num_outputs(1) | ||
.set_attr_parser(ParamParser<NumpyMedianParam>) | ||
.set_attr<mxnet::FInferShape>("FInferShape", NumpyMedianShape) | ||
.set_attr<nnvm::FInferType>("FInferType", NumpyMedianType) | ||
.set_attr<nnvm::FListInputNames>("FListInputNames", | ||
[](const NodeAttrs& attrs) { | ||
return std::vector<std::string>{"a"}; | ||
}) | ||
.add_argument("a", "NDArray-or-Symbol", "The input") | ||
.add_arguments(NumpyMedianParam::__FIELDS__()) | ||
.set_attr<FCompute>("FCompute<cpu>", NumpyMedianForward<cpu>) | ||
.set_attr<FResourceRequest>("FResourceRequest", | ||
[](const NodeAttrs& attrs) { | ||
return std::vector<ResourceRequest>{ResourceRequest::kTempSpace}; | ||
}) | ||
.set_attr<nnvm::FGradient>("FGradient", MakeZeroGradNodes); | ||
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} // namespace op | ||
} // namespace mxnet |
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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. | ||
*/ | ||
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/*! | ||
* Copyright (c) 2019 by Contributors | ||
* \file np_reduce_op_value.cu | ||
* \brief GPU Implementation of reduce functions based on value. | ||
*/ | ||
#include "np_median.h" | ||
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using namespace mxnet; | ||
using namespace op; | ||
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NNVM_REGISTER_OP(_npi_median) | ||
.set_attr<FCompute>("FCompute<gpu>", NumpyMedianForward<gpu>); |
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