aboutsummaryrefslogtreecommitdiff
path: root/src/gpu/cl/operators/ClConv2d.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'src/gpu/cl/operators/ClConv2d.cpp')
-rw-r--r--src/gpu/cl/operators/ClConv2d.cpp5
1 files changed, 3 insertions, 2 deletions
diff --git a/src/gpu/cl/operators/ClConv2d.cpp b/src/gpu/cl/operators/ClConv2d.cpp
index 8119fc8e3d..16fc0e90d3 100644
--- a/src/gpu/cl/operators/ClConv2d.cpp
+++ b/src/gpu/cl/operators/ClConv2d.cpp
@@ -258,14 +258,15 @@ ConvolutionMethod ClConv2d::get_convolution_method(const ITensorInfo *src, const
// Get dst shape
TensorShape output_shape = misc::shape_calculator::compute_deep_convolution_shape(*src, *weights, conv_info);
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_8 = src->dimension(idx_c) >= 8;
const bool is_ifm_ge_16 = src->dimension(idx_c) >= 16;
const bool is_ofm_lte_8 = weights->dimension(3U) <= 8;
const bool workload_gte_8192 = (output_shape[0] * output_shape[1] * output_shape[2]) / 16 >= 8192;
const bool is_ifm_gt_ofm = src->dimension(idx_c) > weights->dimension(3U);
const bool is_m_one = output_shape[1] * output_shape[2] == 1;
- // Run Winograd if valid and IFM >= 16
- if(is_wino_valid && is_ifm_ge_16)
+ // Run Winograd if valid and IFM >= 8
+ if(is_wino_valid && is_ifm_ge_8)
{
if(is_ofm_lte_8)
{