@@ -2349,13 +2349,6 @@ TEST_P(ConvolutionEltwiseActivationFusion, Accuracy)
2349
2349
if ((eltwiseOp != " sum" || weightedEltwise) && backendId == DNN_BACKEND_OPENCV && (targetId == DNN_TARGET_OPENCL || targetId == DNN_TARGET_OPENCL_FP16))
2350
2350
applyTestTag (CV_TEST_TAG_DNN_SKIP_OPENCL);
2351
2351
2352
- // bug: https://github.com/opencv/opencv/issues/17953
2353
- if (eltwiseOp == " sum" && actType == " ChannelsPReLU" && bias_term == false &&
2354
- backendId == DNN_BACKEND_OPENCV && (targetId == DNN_TARGET_OPENCL || targetId == DNN_TARGET_OPENCL_FP16))
2355
- {
2356
- applyTestTag (CV_TEST_TAG_DNN_SKIP_OPENCL);
2357
- }
2358
-
2359
2352
// bug: https://github.com/opencv/opencv/issues/17964
2360
2353
if (actType == " Power" && backendId == DNN_BACKEND_OPENCV && (targetId == DNN_TARGET_OPENCL || targetId == DNN_TARGET_OPENCL_FP16))
2361
2354
applyTestTag (CV_TEST_TAG_DNN_SKIP_OPENCL);
@@ -2442,13 +2435,6 @@ TEST_P(ConvolutionActivationEltwiseFusion, Accuracy)
2442
2435
if (actType == " Power" && backendId == DNN_BACKEND_OPENCV && (targetId == DNN_TARGET_OPENCL || targetId == DNN_TARGET_OPENCL_FP16))
2443
2436
applyTestTag (CV_TEST_TAG_DNN_SKIP_OPENCL);
2444
2437
2445
- // bug: https://github.com/opencv/opencv/issues/17953
2446
- if (actType == " ChannelsPReLU" && bias_term == false &&
2447
- backendId == DNN_BACKEND_OPENCV && (targetId == DNN_TARGET_OPENCL || targetId == DNN_TARGET_OPENCL_FP16))
2448
- {
2449
- applyTestTag (CV_TEST_TAG_DNN_SKIP_OPENCL);
2450
- }
2451
-
2452
2438
Net net;
2453
2439
int convId = net.addLayer (convParams.name , convParams.type , convParams);
2454
2440
int activId = net.addLayer (activationParams.name , activationParams.type , activationParams);
0 commit comments