I ran into problems with theano matrix operations. Here’s the code snippet: #layout_cols = data[layout_ids].fillna(0) ## this is the numpy dense version layout_cols = theano.sparse.csc_from_dense(data[layout_ids].fillna(0)) no_layouts = 16 no_products = 100 no_stores = 2 with pm.Model() as quan…

Problem with theano sparse matrix operations

junpenglao July 20, 2018, 11:12am 6

Could you try assigning a test_value to it?

layout_cols.tag.test_value = scipy.sparse.csc_matrix(data[layout_ids].fillna(0))

1 Like

Topic		Replies	Views
Theano sparse throws error on sampling Questions theano	2	593	April 20, 2018
Sparse Gradient Questions development	4	799	February 12, 2022
Difficulty calculating model gradients, shared variables with static values, and sparse matrices Questions	4	976	March 18, 2019
Possible Performance Issue Using Sparse Matrices in Bipartite Noisy-Or Model Questions from_github , theano	10	2631	September 15, 2017
Elementwise sparse matrix multiplication within custom likelihood Questions	0	676	July 28, 2019