You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
When I run predictions on image stacks of a few GB, sometimes my kernel dies after I get the message
flow/core/framework/cpu_allocator_impl.cc:81] Allocation of x exceeds 10% of system memory.
I can see that all my CPUs are close to 100%, but my RAM is always below 50% usage and my GPU memory is barely used (~10%).
How can I increase the usage of GPU memory? By increasing n_tiles? Could you please characterize n_tiles a little more? Is it [block_size, factor_dim, factor_dim]?
Is it correct that what people call batch (or block) size is actually the size of the sub-matrices of a block-diagonal matrix, as explained here?
Thank you.
The text was updated successfully, but these errors were encountered:
Mrc010
changed the title
during prediction: memory allocation exceeds 10%
kernel dies during prediction after "allocation of system memory exceeds 10%"
Nov 28, 2021
When I run predictions on image stacks of a few GB, sometimes my kernel dies after I get the message
flow/core/framework/cpu_allocator_impl.cc:81] Allocation of x exceeds 10% of system memory.
I can see that all my CPUs are close to 100%, but my RAM is always below 50% usage and my GPU memory is barely used (~10%).
How can I increase the usage of GPU memory? By increasing
n_tiles
? Could you please characterizen_tiles
a little more? Is it[block_size, factor_dim, factor_dim]
?Is it correct that what people call batch (or block) size is actually the size of the sub-matrices of a block-diagonal matrix, as explained here?
Thank you.
The text was updated successfully, but these errors were encountered: