eric-haibin-lin commented on a change in pull request #10208: [MXNET-117]
Sparse operator broadcast_mul/div(csr, dense) = csr
URL: https://github.com/apache/incubator-mxnet/pull/10208#discussion_r179306215
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File path: src/operator/tensor/elemwise_binary_broadcast_op.h
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@@ -185,6 +230,93 @@ void BinaryBroadcastCompute(const nnvm::NodeAttrs& attrs,
}
}
+template<typename xpu, typename OP>
+void BinaryBroadcastCsrDnsCsrImpl(const OpContext& ctx,
+ const NDArray& csr,
+ const NDArray& dns,
+ const OpReqType req,
+ const NDArray& output) {
+ using namespace mshadow;
+ using namespace mxnet_op;
+ using namespace csr;
+ CHECK(req != kAddTo && req != kWriteInplace);
+ mshadow::Stream<xpu> *s = ctx.get_stream<xpu>();
+ bool col_vec;
+ if (dns.shape().ndim() == 1) {
+ col_vec = false;
+ } else {
+ col_vec = (dns.shape()[0] == csr.shape()[0])? true : false;
+ }
+
+ if (csr.storage_initialized()) {
+ const nnvm::dim_t nnz = csr.storage_shape()[0];
+ const nnvm::dim_t num_rows = output.shape()[0];
+ output.CheckAndAlloc({Shape1(num_rows + 1), Shape1(nnz)});
+
+ MSHADOW_TYPE_SWITCH(output.dtype(), DType, {
+ MSHADOW_IDX_TYPE_SWITCH(output.aux_type(kIdx), CType, {
+ MSHADOW_IDX_TYPE_SWITCH(output.aux_type(kIndPtr), RType, {
+ MXNET_ASSIGN_REQ_SWITCH(req, req_type, {
+ if (dns.shape().ndim() > 1 && dns.shape()[0] == 1 &&
dns.shape()[1] == 1) {
Review comment:
would `rhs = mx.nd.array([5])` work?
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