bgawrych commented on code in PR #21004:
URL: https://github.com/apache/incubator-mxnet/pull/21004#discussion_r861500749
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src/operator/tensor/broadcast_reduce_op.h:
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@@ -1354,6 +1354,94 @@ struct direct_copy {
}
};
+template <typename IType, typename OType>
+void BroadcastCPU(const OpContext& ctx,
+ const std::vector<TBlob>& inputs,
+ const std::vector<OpReqType>& req,
+ const std::vector<TBlob>& outputs,
+ const mxnet::TShape& src_shape,
+ const mxnet::TShape& dst_shape,
+ ShapeAndStride aux_data) {
+ using namespace mshadow;
+ using namespace mshadow::expr;
+ using namespace mxnet_op;
+ constexpr size_t ELEMENTS_THRESHOLD = 256;
+ Stream<cpu>* s = ctx.get_stream<cpu>();
+
+ std::vector<size_t> elements_to_copy(aux_data.num_broadcast_axes);
+ std::vector<size_t> preaxis_dims(aux_data.num_broadcast_axes);
+ for (int ax = 0; ax < aux_data.num_broadcast_axes; ax++) {
+ index_t axis = aux_data.axes[ax];
+
+ elements_to_copy[ax] = 1;
+ for (int i = axis + 1; i < dst_shape.ndim(); i++) {
+ elements_to_copy[ax] *= dst_shape[i];
+ }
+ preaxis_dims[ax] = 1;
+ for (int i = axis - 1; i >= 0; i--) {
+ preaxis_dims[ax] *= src_shape[i];
Review Comment:
Because dst_shape is already broadcasted shape.
e.g. shapes: (6, 1, 4, 1, 2) broadcasted to (6, 5, 4, 3, 2) - first
braodcasting axis elements_to_copy is equal to 2 and in for the second one it's
equal to 24 (4*3*2)
in preaxis_dims I am calculating how many different dimensions are in src
tensor: for the first broadcasted axis it's 24 (6*1*4) and for second axis it's
6
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