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path: root/src/gpu/cl/operators/ClConv2d.cpp
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Diffstat (limited to 'src/gpu/cl/operators/ClConv2d.cpp')
-rw-r--r--src/gpu/cl/operators/ClConv2d.cpp10
1 files changed, 8 insertions, 2 deletions
diff --git a/src/gpu/cl/operators/ClConv2d.cpp b/src/gpu/cl/operators/ClConv2d.cpp
index d633c8f738..92b22e758d 100644
--- a/src/gpu/cl/operators/ClConv2d.cpp
+++ b/src/gpu/cl/operators/ClConv2d.cpp
@@ -257,7 +257,8 @@ ConvolutionMethod ClConv2d::get_convolution_method(const ITensorInfo *src, const
{
const bool is_large_kernel_sz = (weights->dimension(idx_w) >= kernel_sz_direct_conv_thr) && (weights->dimension(idx_h) >= kernel_sz_direct_conv_thr);
const bool is_ifm_ge_16 = src->dimension(idx_c) >= 16;
- const bool is_ifm_gt_ofm = src->dimension(idx_c) > weights->dimension(3U);
+ const bool is_ifm_gt_ofm = weights->dimension(0U) * weights->dimension(1U) * weights->dimension(2U) > weights->dimension(3U);
+ const bool is_ofm_le_4 = weights->dimension(3U) <= 4;
// Run Winograd if valid and IFM >= 16
if(is_wino_valid && is_ifm_ge_16)
@@ -265,7 +266,12 @@ ConvolutionMethod ClConv2d::get_convolution_method(const ITensorInfo *src, const
return ConvolutionMethod::WINOGRAD;
}
// Run Direct for Large kernel size
- if(is_large_kernel_sz && is_ifm_ge_16 && is_direct_valid && is_ifm_gt_ofm)
+ if(is_large_kernel_sz && is_ifm_gt_ofm && is_direct_valid)
+ {
+ return ConvolutionMethod::DIRECT;
+ }
+
+ if(is_ofm_le_4 && is_ifm_gt_ofm && is_direct_valid)
{
return ConvolutionMethod::DIRECT;
}