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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/12/26 20:08:00 UTC
[GitHub] [incubator-mxnet] sxjscience commented on a change in pull request
#17091: broadcast_axis optimization
sxjscience commented on a change in pull request #17091: broadcast_axis optimization
URL: https://github.com/apache/incubator-mxnet/pull/17091#discussion_r361524509
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File path: src/operator/tensor/broadcast_reduce_op_value.cc
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@@ -32,6 +32,41 @@ DMLC_REGISTER_PARAMETER(BroadcastAxesParam);
DMLC_REGISTER_PARAMETER(BroadcastToParam);
DMLC_REGISTER_PARAMETER(BroadcastLikeParam);
+template<typename DType>
+void BroadcastAxisKer(DType* src,
+ DType* dst,
+ index_t outer,
+ index_t inner,
+ index_t size) {
+#pragma omp parallel for num_threads(engine::OpenMP::Get()->GetRecommendedOMPThreadCount())
+ for (index_t i = 0; i < outer * size; i++) {
+ const index_t m = i / size;
+ const index_t n = i % size;
+ void* offset = reinterpret_cast<void*>(dst + m * size * inner + n * inner);
+ memcpy(offset, reinterpret_cast<void*>(src + m * inner), inner * sizeof (DType));
+ }
+}
+
+inline void BroadcastAxisComputeCPU(const nnvm::NodeAttrs& attrs,
+ const OpContext& ctx,
+ const std::vector<TBlob>& inputs,
+ const std::vector<OpReqType>& req,
+ const std::vector<TBlob>& outputs) {
+ using namespace mshadow;
+ const BroadcastAxesParam& param = nnvm::get<BroadcastAxesParam>(attrs.parsed);
+ if (param.axis.ndim() == 1 && inputs[0].shape_[param.axis[0]] == 1 && req[0] == kWriteTo) {
Review comment:
We should deal with negative value in `param.axis`.
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