asitstands commented on a change in pull request #10970: [MXNET-424] dtype option for multinomial URL: https://github.com/apache/incubator-mxnet/pull/10970#discussion_r189154689
########## File path: src/operator/random/sample_multinomial_op.h ########## @@ -155,9 +158,11 @@ void SampleMultinomialForward(const nnvm::NodeAttrs& attrs, Tensor<xpu, 1, float> uniform = ctx.requested[1].get_space_typed<xpu, 1, float>(Shape1(N*M), s); prnd->SampleUniform(&uniform, 0, 1); - Kernel<SampleMultinomialKernel, xpu>::Launch( - s, N, K, M, inputs[0].dptr<DType>(), uniform.dptr_, outputs[0].dptr<int>(), - param.get_prob ? outputs[1].dptr<DType>() : nullptr); + MSHADOW_TYPE_SWITCH(outputs[0].type_flag_, IType, { Review comment: Sometimes the multinomial samples need further processing in floating point arithmetic, so the samples need to be copied into a new array of floating point type which slow down the training. For example, in RBM, the samples need to be applied by `linalg.gemm` which supports only floating point arrays. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services