WTT H: J/e/15r 50 cal J/25d/90 minigun J//90 legacy gatling plasma J/40pa/1s bowie knife Salt of the earth legacy Ts/25/90 harpoon gun Ts/25/90 gamma gun Uny/1int/JWR heavy metal LA B/25/25 10mm pistol B/ss/1s chinese officer sword Gu40pa/1s chainsaw
W: Aa/25/15r gatling plasma aa/50c/25 gatling plasma Aa/25/any holy fire Aa/25/15r uc gatling laser V/40pa/any chainsaw/auto axe Q/e/any or q/25/any lmg (Aa or b)/(25 or e)/15r gatling gun Oe/ap/any t51 pieces
Doesnt have to be 1 for 1 trade. Thanks for checking out my post and sorry for not posting screenshots, I am posting from my phone right now. <3

11': Feyenoord Rotterdam 0-0 Excelsior

Venue: De Kuip
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LINE-UPS
Feyenoord Rotterdam
Justin Bijlow, David Hancko, Gernot Trauner, Marcos López, Lutsharel Geertruida, Calvin Stengs, Thomas van den Belt, Ramiz Zerrouki, Ayase Ueda, Igor Paixão, Alireza Jahanbakhsh.
Subs: Djomar Giersthove, Timon Wellenreuther, Leo Sauer, Givairo Read, Ondrej Lingr, Luka Ivanusec, Yankuba Minteh, Mikki van Sas.
^{____________________________}
Excelsior
Stijn van Gassel, Redouan El Yaakoubi, Siebe Horemans, Arthur Zagre, Mimeirhel Benita, Lance Duijvestijn, Julian Baas, Kenzo Goudmijn, Troy Parrott, Lazaros Lamprou, Sanches Fernandes.
Subs: Mike van Duinen, Siem De Moes, Casper Widell, Cisse Sandra, Pascal Kuiper, Sven Nieuwpoort, Noah Naujoks, Couhaib Driouech, Richie Omorowa, Jacky Donkor.
MATCH EVENTS via ESPN
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https://www.youtube.com/watch?v=YjXyNH-kH-w
Na Slovakia to nepustili.

67': Spartak Moscow 3-0 Rubin Kazan

Venue: Lukoil Arena
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LINE-UPS
Spartak Moscow
Aleksandr Maksimenko, Georgi Dzhikiya, Alexis Duarte, Nikita Chernov, Christopher Martins Pereira, Roman Zobnin, Nail Umiarov (Danil Prutsev), Daniil Khlusevich, Jesús Medina (Mikhail Ignatov), Théo Bongonda, Aleksandr Sobolev.
Subs: Oleg Reabciuk, Tomas Tavares, Pavel Maslov, Manfred Ugalde, Victor Moses, Anton Zinkovskiy, Ilya Svinov, Danil Denisov, Leon Klassen, Ruslan Litvinov.
^{____________________________}
Rubin Kazan
Yuri Dyupin, Igor Vujacic, Aleksey Gritsaenko, Alyaksandr Martynovich, Aleksandr Zotov, Dmitri Kabutov, Ilya Rozhkov, Umarali Rahmonaliyev (Marat Apshatsev), Mirlind Daku, Valentin Vada, Maciej Rybus (Dardan Shabanhaxhaj).
Subs: Nikita Yanovich, Kasra Taheri, Oleg Ivanov, Ruslan Bezrukov, Lazar Randelovic, Aleksandr Lomovitski, Rustamjon Ashurmatov, Egor Shamov, Egor Teslenko, Bogdan Jocic.
MATCH EVENTS via ESPN
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I used Yolov8 to train my dataset with the CPU and it went great when I wanted to use GPU and train another dataset it's giving me NotImplementedError. i have set up cuda and pytroch and they are defined without any problems, How could I fix it. Please help me. Thank you
the code:
from ultralytics import YOLO
model = YOLO("yolov8m.yaml")
model.train(data="yolo_con.yaml", epochs=100)
my cuda version and Ultralytics:
2.3.0+cu121
12.1
3.11.4 (tags/v3.11.4:d2340ef, Jun 7 2023, 05:45:37) [MSC v.1934 64 bit (AMD64)]
Ultralytics YOLOv8.2.16 Python-3.11.4 torch-2.3.0+cu121 CUDA:0 (NVIDIA GeForce RTX 3070 Laptop GPU, 8192MiB)
Setup complete (16 CPUs, 15.7 GB RAM, 22.7/64.0 GB disk)
the error:
Ultralytics YOLOv8.2.16 Python-3.11.4 torch-2.3.0+cu121 CUDA:0 (NVIDIA GeForce RTX 3070 Laptop GPU, 8192MiB)
engine\trainer: task=detect, mode=train, model=yolov8m.yaml, data=yolo_con.yaml, epochs=100, time=None, patience=100, batch=16, imgsz=640, save=True, save_period=-1, cache=False, device=None, workers=8, project=None, name=train, exist_ok=False, pretrained=True, optimizer=auto, verbose=True, seed=0, deterministic=True, single_cls=False, rect=False, cos_lr=False, close_mosaic=10, resume=False, amp=True, fraction=1.0, profile=False, freeze=None, multi_scale=False, overlap_mask=True, mask_ratio=4, dropout=0.0, val=True, split=val, save_json=False, save_hybrid=False, conf=None, iou=0.7, max_det=300, half=False, dnn=False, plots=True, source=None, vid_stride=1, stream_buffer=False, visualize=False, augment=False, agnostic_nms=False, classes=None, retina_masks=False, embed=None, show=False, save_frames=False, save_txt=False, save_conf=False, save_crop=False, show_labels=True, show_conf=True, show_boxes=True, line_width=None, format=torchscript, keras=False, optimize=False, int8=False, dynamic=False, simplify=False, opset=None, workspace=4, nms=False, lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=7.5, cls=0.5, dfl=1.5, pose=12.0, kobj=1.0, label_smoothing=0.0, nbs=64, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, bgr=0.0, mosaic=1.0, mixup=0.0, copy_paste=0.0, auto_augment=randaugment, erasing=0.4, crop_fraction=1.0, cfg=None, tracker=botsort.yaml, save_dir=runs\detect\train
WARNING:tensorflow:From c:\Users\eraha\AppData\Local\Programs\Python\Python311\Lib\site-packages\keras\src\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.
Overriding model.yaml nc=80 with nc=4
from n params module arguments
0 -1 1 1392 ultralytics.nn.modules.conv.Conv [3, 48, 3, 2]
1 -1 1 41664 ultralytics.nn.modules.conv.Conv [48, 96, 3, 2]
2 -1 2 111360 ultralytics.nn.modules.block.C2f [96, 96, 2, True]
3 -1 1 166272 ultralytics.nn.modules.conv.Conv [96, 192, 3, 2]
4 -1 4 813312 ultralytics.nn.modules.block.C2f [192, 192, 4, True]
5 -1 1 664320 ultralytics.nn.modules.conv.Conv [192, 384, 3, 2]
6 -1 4 3248640 ultralytics.nn.modules.block.C2f [384, 384, 4, True]
7 -1 1 1991808 ultralytics.nn.modules.conv.Conv [384, 576, 3, 2]
8 -1 2 3985920 ultralytics.nn.modules.block.C2f [576, 576, 2, True]
9 -1 1 831168 ultralytics.nn.modules.block.SPPF [576, 576, 5]
10 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
11 [-1, 6] 1 0 ultralytics.nn.modules.conv.Concat [1]
12 -1 2 1993728 ultralytics.nn.modules.block.C2f [960, 384, 2]
13 -1 1 0 torch.nn.modules.upsampling.Upsample [None, 2, 'nearest']
14 [-1, 4] 1 0 ultralytics.nn.modules.conv.Concat [1]
15 -1 2 517632 ultralytics.nn.modules.block.C2f [576, 192, 2]
16 -1 1 332160 ultralytics.nn.modules.conv.Conv [192, 192, 3, 2]
17 [-1, 12] 1 0 ultralytics.nn.modules.conv.Concat [1] ...TensorBoard: Start with 'tensorboard --logdir runs\detect\train', view at http://localhost:6006/
Freezing layer 'model.22.dfl.conv.weight'
AMP: running Automatic Mixed Precision (AMP) checks with YOLOv8n...
Downloading https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8n.pt to 'yolov8n.pt'...
Output is truncated. View as a scrollable element or open in a text editor. Adjust cell output settings...100%██████████ 6.23M/6.23M [00:02<00:00, 2.87MB/s]
NotImplementedError Traceback (most recent call last)
Cell In[3], line 5
1 from ultralytics import YOLO
3 model = YOLO("yolov8m.yaml")
-- 5 model.train(data="yolo_con.yaml", epochs=100)
File c:\Users\eraha\AppData\Local\Programs\Python\Python311\Lib\site-packages\ultralytics\engine\model.py:674, in Model.train(self, trainer, **kwargs)
671pass
673 self.trainer.hub_session = self.session # attach optional HUB session
674 self.trainer.train()
675 # Update model and cfg after training
676 if RANK in {-1, 0}:
File c:\Users\eraha\AppData\Local\Programs\Python\Python311\Lib\site-packages\ultralytics\engine\trainer.py:199, in BaseTrainer.train(self)
196ddp_cleanup(self, str(file))
198 else:
199self._do_train(world_size)
File c:\Users\eraha\AppData\Local\Programs\Python\Python311\Lib\site-packages\ultralytics\engine\trainer.py:313, in BaseTrainer._do_train(self, world_size)
311 if world_size > 1:
312self._setup_ddp(world_size)
313 self._setup_train(world_size)
315 nb = len(self.train_loader) # number of batches
316 nw = max(round(self.args.warmup_epochs * nb), 100) if self.args.warmup_epochs > 0 else -1 # warmup iterations...PythonTLSSnapshot: registered at ..\aten\src\ATen\core\PythonFallbackKernel.cpp:162 [backend fallback]
FuncTorchDynamicLayerFrontMode: registered at ..\aten\src\ATen\functorch\DynamicLayer.cpp:493 [backend fallback]
PreDispatch: registered at ..\aten\src\ATen\core\PythonFallbackKernel.cpp:166 [backend fallback]
PythonDispatcher: registered at ..\aten\src\ATen\core\PythonFallbackKernel.cpp:158 [backend fallback]
Output is truncated. View as a scrollable element or open in a text editor. Adjust cell output settings...

13': Vitesse 0-0 Ajax Amsterdam

Venue: Gelredome
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LINE-UPS
Vitesse
Eloy Room, Ramon Hendriks, Alois Oroz, Mica Pinto, Carlens Arcus, Paxten Aaronson, Mathijs Tielemans, Gyan De Regt, Marco van Ginkel, Amine Boutrah, Kacper Kozlowski.
Subs: Markus Schubert, Tom Bramel, Andy Visser, Adrian Mazilu, Anis Hadj Moussa, Giovanni Van Zwam, Daan Huisman, Enzo Cornelisse, Thomas Buitink, Melle Meulensteen, Nicolas Isimat-Mirin, Toni Domgjoni.
^{____________________________}
Ajax Amsterdam
Gerónimo Rulli, Ahmetcan Kaplan, Josip Sutalo, Devyne Rensch, Anton Gaaei, Sivert Heggheim Mannsverk, Kenneth Taylor, Jordan Henderson, Brian Brobbey, Steven Bergwijn, Chuba Akpom.
Subs: Remko Pasveer, Carlos Forbs, Kristian Hlynsson, Steven Berghuis, Jay Gorter, Mika Godts, Kian Fitz-Jim, Jakov Medic, Julian Rijkhoff, Branco van den Boomen, Benjamin Tahirovic.
MATCH EVENTS via ESPN
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Jennifer has to be probably one of the most unluckiest chef in the history of the show for me. Like she was still able to adapt to a lot of those situations despite the red team being filled with lots of drama. Her season had a lot of ups and downs. I mean they win the first few services. The Amanda round is the danger part for her where she lacked control and Ramsay had her as his own nominee but I don’t flaw her for that since it was Ramsay’s decision to nominate her himself. Jennifer didn’t have a bad run, it’s just that the problem was that she was on a red team that was so toxic and it can be extremely hard to find your voice on a team that doesn’t get along well with each other or let you take the leadership role. She does make some good pleas that keep her around and she did promise to Ramsay that she would find her voice. Unfortunately she gets extremely unlucky in her elimination round at the final 5. Where the first Black Jacket service round, both Elise and Jennifer go up and Elise would’ve gotten the boot if that wasn’t a non elimination round and both Will and Paul wanted Elise out too. Then the second round, oh boy! After an abysmal final 5 service the 2nd round, Elise convinces both Will and Paul to keep her safe and claim Jennifer as the weakest chef and had that not happened, Then I do think that both Will and Paul would’ve voted Elise to get the boot instead. Jennifer got screwed over pretty badly here but she’s not at #1 or even the top 3 because she did have a few of rocky moments in her run compared to the other 3 chefs in front of her. IDK if she wins against Will or Paul. There’s a possibility but I doubt it. I can definitely see her win any other HK season. Overall that’s why I have Jennifer at #4. We’re now down to the top 3, who could it be next?

11': Feyenoord Rotterdam 0-0 Excelsior

Venue: De Kuip
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LINE-UPS
Feyenoord Rotterdam
Justin Bijlow, David Hancko, Gernot Trauner, Marcos López, Lutsharel Geertruida, Calvin Stengs, Thomas van den Belt, Ramiz Zerrouki, Ayase Ueda, Igor Paixão, Alireza Jahanbakhsh.
Subs: Djomar Giersthove, Timon Wellenreuther, Leo Sauer, Givairo Read, Ondrej Lingr, Luka Ivanusec, Yankuba Minteh, Mikki van Sas.
^{____________________________}
Excelsior
Stijn van Gassel, Redouan El Yaakoubi, Siebe Horemans, Arthur Zagre, Mimeirhel Benita, Lance Duijvestijn, Julian Baas, Kenzo Goudmijn, Troy Parrott, Lazaros Lamprou, Sanches Fernandes.
Subs: Mike van Duinen, Siem De Moes, Casper Widell, Cisse Sandra, Pascal Kuiper, Sven Nieuwpoort, Noah Naujoks, Couhaib Driouech, Richie Omorowa, Jacky Donkor.
MATCH EVENTS via ESPN
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Race information

• What? 3 Days at the Fair 50K
• When? May 18, 2024 ‡
• How far? 31.1mi
• Where? Augusta, NJ
• Website: https://sites.google.com/site/njtrailseries/fair
• Strava activity: https://www.strava.com/activities/11441314526
• Finish time: 4:40:46

Goals

Goal	Description	Completed?
A	4:30:00	No
B	< 5 hours	Yes

Splits

Mile	Time
1	0:39 *
2	7:33
3	7:31
4	8:01
5	7:45
6	7:56
7	8:08
8	8:00
9	8:00
10	8:27
11	8:04
12	8:11
13	8:08
14	8:10
15	8:06
16	8:10
17	8:43
18	8:09
19	8:40
20	8:21
21	8:38
22	8:39
23	9:06
24	9:05
25	9:56
26	9:45
27	9:40
28	10:16
29	11:07
30	10:20
31	11:46
32	11:00
33	6:30 **

• "Lap 1" was from the 50K start to the timing mat. ** "Lap 33" was the remainder from my GPS watch auto-split to the end of the lap/race. ‡ "3 Days at the Fair" went from 13 May to 19 May 2024 (yep!). I was there 18 May.

Training

This was a spring full of sharp turns and hard knocks. The original training went towards the Cheap Marathon in Derry, NH. (That race was reported upon by flocculus here.) Training then consisted of maintaining 30-40 weekly miles, with a weekly long run adding two miles from the prior week, with some fluctuation. My hometown is quite hilly, so I foregone specific hill training as all of my runs were not near flat. My final long run was 21.5 miles March 6 before tapering down my weekly long runs.
A freak snowstorm delayed the Cheap Marathon from 4/6 to 4/20, however on 4/9 I fell in my gym shower. Either a rib contusion or hairline fracture paused any running or training for nearly two weeks. Scrambling for some sort of race to scratch the itch and not toss away months of prior training, I found 3 Days at the Fair online – a six day affair featuring ultramarathon categories from 50K to 144H races. They offered a marathon category, with an alluring 50K at similar start times. Naturally, I signed up for shy of 5 more miles than a marathon. One of my running mates gave me the best advice that "ultra running is more of an eating contest than anything else." Considering that during prior marathons I had salt tabs and 3 or 4 GU packets, I thought more about this statement. Hoping my ribs and legs would stand up, I went for the race.
Note: If registering for this race, you can choose the specific date and time you wish to start it. Just stick to that time. I would end up toeing the line with three other 50K runners who opted for the Saturday 9AM start. One could have theoretically started their run any day between Monday and Saturday, at 9AM or 6PM.

Pre-race

The Sussex County NJ fairgrounds were easy enough for me to get to. Those who were not running longer ultra races had plenty of parking mere steps from the registration/food/starting line. (Those running longer races have opportunities to park campers, tents, and so forth.) Weather was gray and cool, at 58˚F/14˚C -ish. I ended up playing with how I'd pack for the run, before noticing racks set up after the start line into which you could place your water bottle so as to not hold it the entire time.

Race

For check-in, I picked up my swag (a plush bathrobe) and timing ankle chip. No bibs here! At 8:50, marathoners and 50K'ers were brought to the respective start lines, 0.1 and 0.2 miles after the timing mat. At 9AM, we would run against the sea of all other runners back to the starting mat, turn around, and continue in the anti-clockwise 1 mile loop course. This is why marathons are 27 laps and 50K is 32 laps – that quarter lap registered as "lap 1 completed," so 31.1 miles registers as 32 at the end. I'm getting ahead of myself!
I found the course compelling enough to follow. After the timing mat, there is a short uphill that weaves past the toilet and shower area, and toward a hairpin. While the 'pin itself was set wide, most of the time I would walk it because of traffic or weakening knees. This continued straight past a Camper's Row of sorts with mild downhill. The second half runs a long arch around the grounds, with a gradual gentle uphill. The course is paved except for a 200m segment of packed gravel – if it had rained, this part could've been muddy. The course completed after a shot down a causeway, and left turning back to the mat. It's this area where registration, fuel/food/catering, and timing is displayed. Overall, no real potholes to be concerned about, just 31 total laps of this!
Hydration and food – tons of everything including Impossible Burgers, PB&J, cola, and sports vitamins – was supplied after the timing mat. I kept track of which lap I was on with a big-screen projection. My name, lap number, prior lap time, and total time appeared. Every 30 minutes or so I decided to take in calories. This included GU Rocktane, GU Vanilla (sooooo good), two stroopwaffels, two ice pops, and a few salt tabs. It was roughly 400 or so more calories than I would have consumed during a race. Hydration was also a factor, that the course was completely uncovered made me feel hotter and "drier" than normal. I might have taken on about 50 fl oz / 1.5 liters of water. My stomach tolerated this!
The main causeway/timing mat area is where I stopped for water and stowed my foods so I didn't have to carry it around. Early on, I didn't understand where the timing screen was, so took minor detours in the registration area. These factors are why my paces seem inconsistent by 30-odd seconds per mile at points.
The people here are amazing! Other runners were highly supportive, chatty, upbeat. One person was dressed up like a chicken (the race logo featured one), and another person blasted some pretty appropriate and popular tunes. It would be a game for me to guess the artist or song on every lap – we had a great banter going! Another group had a dry-erase board and changed it every few minutes or so with a new dad joke. Naturally, I had to stop to retort with another. For example, they wrote, "3.14% of sailors are pi-rates!" I replied, "if it's $4.50 in Jamaica for a beef patty, $3.50 in DR, and $2 in Trinidad, are those the pie rates of the Caribbean?" Sorry, not sorry.
The lack of proper training began to present itself around mile 22. Pacing was targeted at 8:00-8:15 per mile, with goal half-marathon splits at 1h45m or so. After mile 26, I was 3h40m44s, ten minutes off goal pace. Around that point I slowed, taking more walk breaks but promising myself to run at least half every lap. Landmarks were mentally set to designate where walking and running would occur. When I crossed the line I was done.

Post-race

From a mental standpoint, the concept of so many laps did not bother me. My daily runs more often than not are laps in my parking lot, and I've completed a few half marathons on traditional 400m tracks a few times prior – especially during the Global Pandemilovato of '20. Physically, my legs did not feel any worse than they would have after 26.2 miles. My stomach was actually doing quite alright – nausea and headache would set in within a few minutes of finishing other marathons, but not today. My buddy's advice is making me rethink my marathon strategy.
As the event is ultra-marathon focused, finishers of marathon and 50K received a coin. The longer the distance, the larger the coin, with special awards for those who have invested 100+ miles with the organization. (A paver brick [!] stamped with the runner's name is awarded after 1,500 miles with the organization.) Either way, I circled back to the registration area to press my luck at burger availability. Unfortunately they were out, yet making more. While at the beginning of the race the smell of bacon and pancakes wafted onto the line, the sweet smell of success – naturally, manifest as deliciously greasy burgers – greeted us at the end.
Post-race nutriton in my car included Gatorlyte electrolytes, SiS Rego Rapid recovery, and 1.5 liters of water. I opted against the on-site showers and made the long ride home for one which was far more satisfying.
EDIT: Added info about registration. EDIT 2: Grammar.

43': Hammarby 0-0 AIK

Venue: Tele2 Arena
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LINE-UPS
Hammarby
Oliver Dovin, Edvin Kurtulus, Erik Skoglund, Pavle Vagic, Shaquille Pinas, Tesfaldet Tekie, Nahir Besara, Oscar Johansson, Bazoumana Touré, Fredrik Hammar, Deniz Gül.
Subs: Kingsley Gyamfi, Markus Karlsson, Viktor Djukanovic, Dennis Collander, Mads Fenger, Marc Llinares, Abdelrahman Saidi, Montader Madjed, Davor Blazevic.
^{____________________________}
AIK
Kristoffer Nordfeldt, Benjamin Hansen, Sotiris Papagiannopoulos, Axel Bjornstrom, Rui Modesto , Anton Saletros, Victor Andersson, Bersant Celina, Ismaila Coulibaly, Ioannis Pittas, Taha Ayari.
Subs: Emmanuel Gono, Omar Faraj, Collins Shichenje, Ismael Diarra Diawara, Erik Ring, Aaron Stoch Rydell, Lamine Dabo, Ahmad Faqa.
MATCH EVENTS via ESPN
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