Zachary,
I am trying to debug this strange behavior. I am trying to build a PETSC
sparse parallel matrix using 4 processors. This gives me 32 local number of
rows (so 128 global number of rows). But when I pass the local_num_of_rows
variable into the reinit function, this is the PETSC error I get:
PETSC ERROR: Nonconforming object sizes
PETSC ERROR: Sum of local lengths 512 does not equal global length 128, my
local length 128
Here is my reinit function and necessary vectors:
std::vector<size_type> local_rows_per_process(num_procs,local_num_rows);
std::vector<size_type> local_columns_per_process(num_procs,number_of_columns);
spm.reinit(MPI_COMM_WORLD, dsp, local_rows_per_process,
local_columns_per_process, my_proc);
*The number of local rows for this example is local_num_rows=32, I printed to
check. Though when it is passed into the reinit function, it looks like it is
using the global number of rows.*
I get the same error from the constructor that doesn’t use the dynamic
sparsity pattern:
spm.reinit(MPI_COMM_WORLD,global_row_size,global_column_size,local_row_size,local_column_size,number_of_non_zeros);
Just for clarifying this constructor, what is “local_rows” and “local_columns”
for this constructor? The documentation just says see the class
documentation. I see where the 4th constructor uses “local_rows_per_process”
and this means how many rows do all other processors own and same for the
columns so I thought I had that figured out for my constructor with the
dynamic sparsity pattern but maybe not. For this constructor, I just used the
local number of rows and columns.
Can someone please show me what they would do to debug this situation?
Can you come up with a small, self-contained test case that we can run to see
and debug what exactly you are doing?
Best
WB
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Wolfgang Bangerth email: [email protected]
www: http://www.math.colostate.edu/~bangerth/
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