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Reduce BLAS threads while parallelizing over GEMM #580

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Reduce BLAS threads while parallelizing over GEMM #580

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16 changes: 16 additions & 0 deletions src/impl/conv_im2col.jl
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Original file line number Diff line number Diff line change
Expand Up @@ -45,6 +45,10 @@ function conv_im2col!(
N = channels_out(cdims)
K = prod(kernel_size(cdims))*channels_in(cdims)

# Set BLAS threads to 1 since we are threading over BLAS calls
old_threads = BLAS.get_num_threads()
BLAS.set_num_threads(1)

parts = Iterators.partition(axes(x, 5), ceil(Int, size(x, 5) / ntasks))

@sync for (task_n, part) in enumerate(parts)
Expand All @@ -61,6 +65,10 @@ function conv_im2col!(
end
end
end

# Restore BLAS threads
BLAS.set_num_threads(old_threads)

return y
end

Expand Down Expand Up @@ -150,6 +158,10 @@ function ∇conv_data_im2col!(
N = prod(kernel_size(cdims))*channels_in(cdims)
K = channels_out(cdims)

# Set BLAS threads to 1 since we are threading over BLAS calls
old_threads = BLAS.get_num_threads()
BLAS.set_num_threads(1)

parts = Iterators.partition(axes(dx, 5), ceil(Int, size(dx, 5) / ntasks))

@sync for (task_n, part) in enumerate(parts)
Expand All @@ -166,6 +178,10 @@ function ∇conv_data_im2col!(
end
end
end

# Restore BLAS threads
BLAS.set_num_threads(old_threads)

return dx
end

Expand Down
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