Hi all,
I thought I might start a new 'thread' for this.
Running Sparse benchmark with a custom matrix is currently not working. I
tried playing around with it, but didn't achieve much. I tested multiple
matrix files and here's what debug output I got:
When using mat64k.mtx (from ViennaCL's examples/testdata) I just get a
"Failed to read custom sparse matrix", nothing else.
When using matrices from the MatrixMarket, there are three error variations:
1. failed to read with no other feedback, just like with mat64k.mtx
2. this:
3elt/3elt.mtx The MatrixMarket reader provided with ViennaCL supports only
real valued floating point arithmetic.
ViennaCL: Getting current_context with id 0
ViennaCL: Getting current_context with id 0
ViennaCL: Getting current_context with id 0
Invalid parameter passed to C runtime function.
Invalid parameter passed to C runtime function.
terminate called after throwing an instance of 'viennacl::memory_exception'
what(): ViennaCL: Internal memory error: not initialised!
3. this:
Pres_Poisson/Pres_Poisson_b.mtx at line 1 in file
Pres_Poisson/Pres_Poisson_b.mtx: 'array' type is not supported yet!
In cases 2 & 3, it crashes when doing the startup calculations:
vcl_vec1 = viennacl::linalg::prod(vcl_compressed_matrix_1, vcl_vec2);
//startup calculation
vcl_vec1 = viennacl::linalg::prod(vcl_compressed_matrix_4, vcl_vec2);
//startup calculation
vcl_vec1 = viennacl::linalg::prod(vcl_compressed_matrix_8, vcl_vec2);
//startup calculation
Any ideas?
Regards, Namik
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