aboutsummaryrefslogtreecommitdiff
path: root/src/gpu
diff options
context:
space:
mode:
Diffstat (limited to 'src/gpu')
-rw-r--r--src/gpu/cl/kernels/ClDirectConv2dKernel.cpp1
-rw-r--r--src/gpu/cl/operators/ClConv2d.cpp9
2 files changed, 3 insertions, 7 deletions
diff --git a/src/gpu/cl/kernels/ClDirectConv2dKernel.cpp b/src/gpu/cl/kernels/ClDirectConv2dKernel.cpp
index 7107def8ff..5af7aa9662 100644
--- a/src/gpu/cl/kernels/ClDirectConv2dKernel.cpp
+++ b/src/gpu/cl/kernels/ClDirectConv2dKernel.cpp
@@ -453,6 +453,7 @@ void ClDirectConv2dKernel::configure(const CLCompileContext &compile_context, IT
build_options.add_option("-DM0=" + support::cpp11::to_string(m0));
build_options.add_option("-DK0=" + support::cpp11::to_string(k0));
build_options.add_option("-DPARTIAL_N0=" + support::cpp11::to_string(partial_store_n0));
+ build_options.add_option_if((src->dimension(channel_idx) % k0) != 0, "-DLEFTOVER_LOOP");
build_options.add_option("-DACTIVATION_TYPE=" + lower_string(string_from_activation_func(act_info.activation())));
if(is_data_type_quantized(data_type))
diff --git a/src/gpu/cl/operators/ClConv2d.cpp b/src/gpu/cl/operators/ClConv2d.cpp
index 92b22e758d..2b9a51df22 100644
--- a/src/gpu/cl/operators/ClConv2d.cpp
+++ b/src/gpu/cl/operators/ClConv2d.cpp
@@ -258,20 +258,15 @@ 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 = 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)
{
return ConvolutionMethod::WINOGRAD;
}
- // Run Direct for Large kernel size
- 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)
+ // Run Direct for Large kernel size
+ if(is_large_kernel_sz && is_ifm_ge_16 && is_direct_valid && is_ifm_gt_ofm)
{
return ConvolutionMethod::DIRECT;
}