[GitHub] [incubator-mxnet] ChaiBapchya commented on issue #17444: [Large Tensor] Add LT support for NN optimizers and 1 activation function

[GitBox <gi...@apache.org>]

ChaiBapchya commented on issue #17444: [Large Tensor] Add LT support for NN optimizers and 1 activation function
URL: https://github.com/apache/incubator-mxnet/pull/17444#issuecomment-580964144
 
 
   ```
   >>> import mxnet as mx
   >>> from mxnet.test_utils import *
   >>> w = rand_ndarray((2**32+1,1), 'row_sparse', density=1)
   >>> mx.nd.adam_update(w,w,w,w,lr=0.1)
   [00:00:47] ../src/executor/../operator/../common/utils.h:472: Optimizer with lazy_update = True detected. Be aware that lazy update with row_sparse gradient is different from standard update, and may lead to different empirical results. See https://mxnet.apache.org/api/python/optimization/optimization.html for more details.
   
   <RowSparseNDArray 4294967297x1 @cpu(0)>
   >>> a=mx.nd.adam_update(w,w,w,w,lr=0.1)
   >>> a
   
   <RowSparseNDArray 4294967297x1 @cpu(0)>
   ```

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