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* Fix windows oversize by adding files
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142 changes: 142 additions & 0 deletions
142
src/operator/numpy/np_elemwise_broadcast_op_extended_sec.cc
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,142 @@ | ||
| /* | ||
| * 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) 2019 by Contributors | ||
| * \file np_elemwise_broadcast_op_extended_sec.cc | ||
| * \brief CPU Implementation of extended functions for elementwise numpy binary broadcast operator. (Second extended file) | ||
| */ | ||
|
|
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| #include "../../common/utils.h" | ||
| #include "./np_elemwise_broadcast_op.h" | ||
|
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| namespace mxnet { | ||
| namespace op { | ||
|
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| #define MXNET_OPERATOR_REGISTER_NP_BINARY_SCALAR(name) \ | ||
| NNVM_REGISTER_OP(name) \ | ||
| .set_num_inputs(1) \ | ||
| .set_num_outputs(1) \ | ||
| .set_attr_parser([](NodeAttrs* attrs) { \ | ||
| attrs->parsed = std::stod(attrs->dict["scalar"]); \ | ||
| }) \ | ||
| .set_attr<mxnet::FInferShape>("FInferShape", ElemwiseShape<1, 1>) \ | ||
| .set_attr<nnvm::FInferType>("FInferType", NumpyBinaryScalarType) \ | ||
| .set_attr<nnvm::FInplaceOption>("FInplaceOption", \ | ||
| [](const NodeAttrs& attrs){ \ | ||
| return std::vector<std::pair<int, int> >{{0, 0}}; \ | ||
| }) \ | ||
| .add_argument("data", "NDArray-or-Symbol", "source input") \ | ||
| .add_argument("scalar", "float", "scalar input") | ||
|
|
||
| MXNET_OPERATOR_REGISTER_BINARY_BROADCAST(_npi_fmax) | ||
| .set_attr<FCompute>("FCompute<cpu>", BinaryBroadcastCompute<cpu, mshadow_op::fmax>) | ||
| .set_attr<nnvm::FGradient>("FGradient", ElemwiseGradUseIn{"_backward_npi_fmax"}); | ||
|
|
||
| NNVM_REGISTER_OP(_backward_npi_fmax) | ||
| .set_num_inputs(3) | ||
| .set_num_outputs(2) | ||
| .set_attr<nnvm::TIsBackward>("TIsBackward", true) | ||
| .set_attr<nnvm::FInplaceOption>("FInplaceOption", | ||
| [](const NodeAttrs& attrs){ | ||
| return std::vector<std::pair<int, int> >{{0, 1}}; | ||
| }) | ||
| .set_attr<FResourceRequest>("FResourceRequest", | ||
| [](const NodeAttrs& attrs) { | ||
| return std::vector<ResourceRequest>{ResourceRequest::kTempSpace}; | ||
| }) | ||
| .set_attr<FCompute>("FCompute<cpu>", BinaryBroadcastBackwardUseIn<cpu, mshadow_op::ge, | ||
| mshadow_op::lt>); | ||
|
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| MXNET_OPERATOR_REGISTER_NP_BINARY_SCALAR(_npi_fmax_scalar) | ||
| .set_attr<FCompute>("FCompute<cpu>", BinaryScalarOp::Compute<cpu, mshadow_op::fmax>) | ||
| .set_attr<nnvm::FGradient>("FGradient", ElemwiseGradUseIn{"_backward_npi_fmax_scalar"}); | ||
|
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| MXNET_OPERATOR_REGISTER_BINARY(_backward_npi_fmax_scalar) | ||
| .add_argument("scalar", "float", "scalar value") | ||
| .set_attr_parser([](NodeAttrs *attrs) { attrs->parsed = std::stod(attrs->dict["scalar"]); }) | ||
| .set_attr<FCompute>("FCompute<cpu>", BinaryScalarOp::Backward<cpu, mshadow_op::ge>); | ||
|
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| MXNET_OPERATOR_REGISTER_BINARY_BROADCAST(_npi_fmin) | ||
| .set_attr<FCompute>("FCompute<cpu>", BinaryBroadcastCompute<cpu, mshadow_op::fmin>) | ||
| .set_attr<nnvm::FGradient>("FGradient", ElemwiseGradUseIn{"_backward_npi_fmin"}); | ||
|
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| NNVM_REGISTER_OP(_backward_npi_fmin) | ||
| .set_num_inputs(3) | ||
| .set_num_outputs(2) | ||
| .set_attr<nnvm::TIsBackward>("TIsBackward", true) | ||
| .set_attr<nnvm::FInplaceOption>("FInplaceOption", | ||
| [](const NodeAttrs& attrs){ | ||
| return std::vector<std::pair<int, int> >{{0, 1}}; | ||
| }) | ||
| .set_attr<FResourceRequest>("FResourceRequest", | ||
| [](const NodeAttrs& attrs) { | ||
| return std::vector<ResourceRequest>{ResourceRequest::kTempSpace}; | ||
| }) | ||
| .set_attr<FCompute>("FCompute<cpu>", BinaryBroadcastBackwardUseIn<cpu, mshadow_op::le, | ||
| mshadow_op::gt>); | ||
|
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| MXNET_OPERATOR_REGISTER_NP_BINARY_SCALAR(_npi_fmin_scalar) | ||
| .set_attr<FCompute>("FCompute<cpu>", BinaryScalarOp::Compute<cpu, mshadow_op::fmin>) | ||
| .set_attr<nnvm::FGradient>("FGradient", ElemwiseGradUseIn{"_backward_npi_fmin_scalar"}); | ||
|
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| MXNET_OPERATOR_REGISTER_BINARY(_backward_npi_fmin_scalar) | ||
| .add_argument("scalar", "float", "scalar value") | ||
| .set_attr_parser([](NodeAttrs *attrs) { attrs->parsed = std::stod(attrs->dict["scalar"]); }) | ||
| .set_attr<FCompute>("FCompute<cpu>", BinaryScalarOp::Backward<cpu, mshadow_op::le>); | ||
|
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| MXNET_OPERATOR_REGISTER_BINARY_BROADCAST(_npi_fmod) | ||
| .set_attr<FCompute>("FCompute<cpu>", BinaryBroadcastCompute<cpu, mshadow_op::fmod>) | ||
| .set_attr<nnvm::FGradient>("FGradient", ElemwiseGradUseIn{"_backward_npi_fmod"}); | ||
|
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| NNVM_REGISTER_OP(_backward_npi_fmod) | ||
| .set_num_inputs(3) | ||
| .set_num_outputs(2) | ||
| .set_attr<nnvm::TIsBackward>("TIsBackward", true) | ||
| .set_attr<nnvm::FInplaceOption>("FInplaceOption", | ||
| [](const NodeAttrs& attrs){ | ||
| return std::vector<std::pair<int, int> >{{0, 1}}; | ||
| }) | ||
| .set_attr<FResourceRequest>("FResourceRequest", | ||
| [](const NodeAttrs& attrs) { | ||
| return std::vector<ResourceRequest>{ResourceRequest::kTempSpace}; | ||
| }) | ||
| .set_attr<FCompute>("FCompute<cpu>", BinaryBroadcastBackwardUseIn<cpu, mshadow_op::mod_grad, | ||
| mshadow_op::mod_rgrad>); | ||
|
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| MXNET_OPERATOR_REGISTER_NP_BINARY_SCALAR(_npi_fmod_scalar) | ||
| .set_attr<FCompute>("FCompute<cpu>", BinaryScalarOp::Compute<cpu, mshadow_op::fmod>) | ||
| .set_attr<nnvm::FGradient>("FGradient", ElemwiseGradUseIn{"_backward_npi_fmod_scalar"}); | ||
|
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| MXNET_OPERATOR_REGISTER_BINARY(_backward_npi_fmod_scalar) | ||
| .add_argument("scalar", "float", "scalar value") | ||
| .set_attr_parser([](NodeAttrs *attrs) { attrs->parsed = std::stod(attrs->dict["scalar"]); }) | ||
| .set_attr<FCompute>("FCompute<cpu>", BinaryScalarOp::Backward<cpu, mshadow_op::mod_grad>); | ||
|
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| MXNET_OPERATOR_REGISTER_NP_BINARY_SCALAR(_npi_rfmod_scalar) | ||
| .set_attr<FCompute>("FCompute<cpu>", BinaryScalarOp::Compute<cpu, mshadow_op::rfmod>) | ||
| .set_attr<nnvm::FGradient>("FGradient", ElemwiseGradUseIn{"_backward_npi_rfmod_scalar"}); | ||
|
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| MXNET_OPERATOR_REGISTER_BINARY(_backward_npi_rfmod_scalar) | ||
| .add_argument("scalar", "float", "scalar value") | ||
| .set_attr_parser([](NodeAttrs *attrs) { attrs->parsed = std::stod(attrs->dict["scalar"]); }) | ||
| .set_attr<FCompute>("FCompute<cpu>", BinaryScalarOp::Backward<cpu, mshadow_op::rmod_grad>); | ||
|
|
||
| } // namespace op | ||
| } // namespace mxnet |
78 changes: 78 additions & 0 deletions
78
src/operator/numpy/np_elemwise_broadcast_op_extended_sec.cu
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,78 @@ | ||
| /* | ||
| * 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) 2019 by Contributors | ||
| * \file np_elemwise_broadcast_op_extended_sec.cu | ||
| * \brief GPU Implementation of extended functions for elementwise binary broadcast operator. (Second extended file) | ||
| */ | ||
|
|
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| #include "./np_elemwise_broadcast_op.h" | ||
|
|
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| namespace mxnet { | ||
| namespace op { | ||
|
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| NNVM_REGISTER_OP(_npi_fmax) | ||
| .set_attr<FCompute>("FCompute<gpu>", BinaryBroadcastCompute<gpu, mshadow_op::fmax>); | ||
|
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| NNVM_REGISTER_OP(_backward_npi_fmax) | ||
| .set_attr<FCompute>("FCompute<gpu>", BinaryBroadcastBackwardUseIn<gpu, mshadow_op::ge, | ||
| mshadow_op::lt>); | ||
|
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| NNVM_REGISTER_OP(_npi_fmax_scalar) | ||
| .set_attr<FCompute>("FCompute<gpu>", BinaryScalarOp::Compute<gpu, mshadow_op::fmax>); | ||
|
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| NNVM_REGISTER_OP(_backward_npi_fmax_scalar) | ||
| .set_attr<FCompute>("FCompute<gpu>", BinaryScalarOp::Backward<gpu, mshadow_op::ge>); | ||
|
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| NNVM_REGISTER_OP(_npi_fmin) | ||
| .set_attr<FCompute>("FCompute<gpu>", BinaryBroadcastCompute<gpu, mshadow_op::fmin>); | ||
|
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| NNVM_REGISTER_OP(_backward_npi_fmin) | ||
| .set_attr<FCompute>("FCompute<gpu>", BinaryBroadcastBackwardUseIn<gpu, mshadow_op::le, | ||
| mshadow_op::gt>); | ||
|
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| NNVM_REGISTER_OP(_npi_fmin_scalar) | ||
| .set_attr<FCompute>("FCompute<gpu>", BinaryScalarOp::Compute<gpu, mshadow_op::fmin>); | ||
|
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| NNVM_REGISTER_OP(_backward_npi_fmin_scalar) | ||
| .set_attr<FCompute>("FCompute<gpu>", BinaryScalarOp::Backward<gpu, mshadow_op::le>); | ||
|
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| NNVM_REGISTER_OP(_npi_fmod) | ||
| .set_attr<FCompute>("FCompute<gpu>", BinaryBroadcastCompute<gpu, mshadow_op::fmod>); | ||
|
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| NNVM_REGISTER_OP(_backward_npi_fmod) | ||
| .set_attr<FCompute>("FCompute<gpu>", BinaryBroadcastBackwardUseIn<gpu, mshadow_op::mod_grad, | ||
| mshadow_op::mod_rgrad>); | ||
|
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| NNVM_REGISTER_OP(_npi_fmod_scalar) | ||
| .set_attr<FCompute>("FCompute<gpu>", BinaryScalarOp::Compute<gpu, mshadow_op::fmod>); | ||
|
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| NNVM_REGISTER_OP(_backward_npi_fmod_scalar) | ||
| .set_attr<FCompute>("FCompute<gpu>", BinaryScalarOp::Backward<gpu, mshadow_op::mod_grad>); | ||
|
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| NNVM_REGISTER_OP(_npi_rfmod_scalar) | ||
| .set_attr<FCompute>("FCompute<gpu>", BinaryScalarOp::Compute<gpu, mshadow_op::rfmod>); | ||
|
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| NNVM_REGISTER_OP(_backward_npi_rfmod_scalar) | ||
| .set_attr<FCompute>("FCompute<gpu>", BinaryScalarOp::Backward<gpu, mshadow_op::rmod_grad>); | ||
|
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| } // namespace op | ||
| } // namespace mxnet | ||
|
|