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authorVidhya Sudhan Loganathan <vidhyasudhan.loganathan@arm.com>2018-11-20 15:38:13 +0000
committerAnthony Barbier <Anthony.barbier@arm.com>2018-11-20 17:40:03 +0000
commit38d93bdda73f9b1024c6b4b834b382f7f25aae19 (patch)
treed2372cd8f6aafabaee500beadfab969516b1c524 /tests/benchmark
parent8f2cbfa15bfb0e49ca6a334a220f0e36964289d6 (diff)
downloadComputeLibrary-38d93bdda73f9b1024c6b4b834b382f7f25aae19.tar.gz
COMPMID-1801 : (Nightly) CLWinogradConvolutionLayer FP16 mismatches
FP mixed precision support added to GEMM kernel used for fp16 winograd conv on Midgard GPUs Change-Id: I1619beb025fc484a1ac9d3e528d785edabbc7ee6
Diffstat (limited to 'tests/benchmark')
-rw-r--r--tests/benchmark/fixtures/WinogradConvolutionLayerFixture.h6
1 files changed, 5 insertions, 1 deletions
diff --git a/tests/benchmark/fixtures/WinogradConvolutionLayerFixture.h b/tests/benchmark/fixtures/WinogradConvolutionLayerFixture.h
index 5f44517817..86ea9c4dc1 100644
--- a/tests/benchmark/fixtures/WinogradConvolutionLayerFixture.h
+++ b/tests/benchmark/fixtures/WinogradConvolutionLayerFixture.h
@@ -60,7 +60,11 @@ public:
dst = create_tensor<TensorType>(dst_shape, data_type, 1);
// Create and configure function
- conv_layer.configure(&src, &weights, &biases, &dst, info, act_info);
+ if(data_type == DataType::F16){
+ conv_layer.configure(&src, &weights, &biases, &dst, info, act_info, true);
+ }else{
+ conv_layer.configure(&src, &weights, &biases, &dst, info, act_info);
+ }
// Allocate tensors
src.allocator()->allocate();