Torch Set Nan To 0 . I want to assign nan to a tensor element. Import torch x=torch.randn(1, requires_grad=true) w=torch.tensor(float(nan)) z=(x*w.nan_to_num(0)) # *filter nans before. Replaces nan, positive infinity, and negative infinity. Replaces nan, positive infinity, and negative infinity. X = torch.tensor([1, float(inf), 2, float(inf)]) x[x == float(inf)] = 0 x # should be 1, 0, 2, 0 now Torch.nan_to_num (input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. Torch.nan_to_num(input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. X = torch.tensor([1, 2, 3]) x[x == 2] = none. X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown number of nans and infinities.
from wonderfulengineering.com
X = torch.tensor([1, float(inf), 2, float(inf)]) x[x == float(inf)] = 0 x # should be 1, 0, 2, 0 now X = torch.tensor([1, 2, 3]) x[x == 2] = none. I want to assign nan to a tensor element. Torch.nan_to_num (input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. Torch.nan_to_num(input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown number of nans and infinities. Replaces nan, positive infinity, and negative infinity. Import torch x=torch.randn(1, requires_grad=true) w=torch.tensor(float(nan)) z=(x*w.nan_to_num(0)) # *filter nans before. Replaces nan, positive infinity, and negative infinity.
10 Best Cutting Torch Kits
Torch Set Nan To 0 X = torch.tensor([1, 2, 3]) x[x == 2] = none. X = torch.tensor([1, float(inf), 2, float(inf)]) x[x == float(inf)] = 0 x # should be 1, 0, 2, 0 now Torch.nan_to_num (input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. I want to assign nan to a tensor element. X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown number of nans and infinities. Torch.nan_to_num(input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. Replaces nan, positive infinity, and negative infinity. Import torch x=torch.randn(1, requires_grad=true) w=torch.tensor(float(nan)) z=(x*w.nan_to_num(0)) # *filter nans before. X = torch.tensor([1, 2, 3]) x[x == 2] = none. Replaces nan, positive infinity, and negative infinity.
From discuss.pytorch.org
After torchload model and predict, then got NaN C++ PyTorch Forums Torch Set Nan To 0 I want to assign nan to a tensor element. X = torch.tensor([1, float(inf), 2, float(inf)]) x[x == float(inf)] = 0 x # should be 1, 0, 2, 0 now X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown number of nans and infinities. Torch.nan_to_num (input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. Import torch. Torch Set Nan To 0.
From github.com
torch.nn.functional.layer_norm returns nan for fp16 all 0 tensor Torch Set Nan To 0 I want to assign nan to a tensor element. Import torch x=torch.randn(1, requires_grad=true) w=torch.tensor(float(nan)) z=(x*w.nan_to_num(0)) # *filter nans before. Replaces nan, positive infinity, and negative infinity. X = torch.tensor([1, float(inf), 2, float(inf)]) x[x == float(inf)] = 0 x # should be 1, 0, 2, 0 now Torch.nan_to_num (input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. X = torch.randn(b,c,x, y) x_fix. Torch Set Nan To 0.
From www.homedepot.com
Lotos 13 ft. 2Prong TIG Welding Torch with TIG Accessories KitTT132 Torch Set Nan To 0 I want to assign nan to a tensor element. X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown number of nans and infinities. Replaces nan, positive infinity, and negative infinity. Replaces nan, positive infinity, and negative infinity. Import torch x=torch.randn(1, requires_grad=true) w=torch.tensor(float(nan)) z=(x*w.nan_to_num(0)) # *filter nans before. Torch.nan_to_num(input, nan=0.0, posinf=none, neginf=none, *, out=none) →. Torch Set Nan To 0.
From shopee.com.my
Cutting Torch Set Welding Torch Set with Acetylene / DA Gas and Oxygen Torch Set Nan To 0 Torch.nan_to_num(input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. I want to assign nan to a tensor element. X = torch.tensor([1, float(inf), 2, float(inf)]) x[x == float(inf)] = 0 x # should be 1, 0, 2, 0 now X = torch.tensor([1, 2, 3]) x[x == 2] = none. Replaces nan, positive infinity, and negative infinity. X = torch.randn(b,c,x, y) x_fix =. Torch Set Nan To 0.
From shopee.com.my
Aweld Mapp & Oxygen Brazing Torch Set Shopee Malaysia Torch Set Nan To 0 X = torch.tensor([1, 2, 3]) x[x == 2] = none. Replaces nan, positive infinity, and negative infinity. X = torch.tensor([1, float(inf), 2, float(inf)]) x[x == float(inf)] = 0 x # should be 1, 0, 2, 0 now I want to assign nan to a tensor element. Torch.nan_to_num(input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. X = torch.randn(b,c,x, y) x_fix =. Torch Set Nan To 0.
From www.lowes.com
Shop Lincoln Electric PortaTorch Kit at Torch Set Nan To 0 Replaces nan, positive infinity, and negative infinity. X = torch.tensor([1, float(inf), 2, float(inf)]) x[x == float(inf)] = 0 x # should be 1, 0, 2, 0 now Torch.nan_to_num(input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. I want to assign nan to a tensor element. X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown number. Torch Set Nan To 0.
From econosuperstore.com
Complete Oxygen Acetylene Oxy Welding Cutting Weld Torch Regulator Torch Set Nan To 0 X = torch.tensor([1, 2, 3]) x[x == 2] = none. I want to assign nan to a tensor element. Torch.nan_to_num(input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. Torch.nan_to_num (input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. Replaces nan, positive infinity, and negative infinity. X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown number of. Torch Set Nan To 0.
From www.datasciencelearner.com
AssertionError no inf checks were recorded for this optimizer ( Fix ) Torch Set Nan To 0 X = torch.tensor([1, 2, 3]) x[x == 2] = none. X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown number of nans and infinities. Torch.nan_to_num(input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. X = torch.tensor([1, float(inf), 2, float(inf)]) x[x == float(inf)] = 0 x # should be 1, 0, 2, 0 now Replaces nan,. Torch Set Nan To 0.
From www.homedepot.ca
Bernzomatic TS8000KC Max Heat Torch Kit The Home Depot Canada Torch Set Nan To 0 I want to assign nan to a tensor element. X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown number of nans and infinities. Import torch x=torch.randn(1, requires_grad=true) w=torch.tensor(float(nan)) z=(x*w.nan_to_num(0)) # *filter nans before. Torch.nan_to_num (input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. X = torch.tensor([1, float(inf), 2, float(inf)]) x[x == float(inf)] = 0 x. Torch Set Nan To 0.
From github.com
torch.pow() return `nan` for negative values with float exponent Torch Set Nan To 0 Torch.nan_to_num(input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. Import torch x=torch.randn(1, requires_grad=true) w=torch.tensor(float(nan)) z=(x*w.nan_to_num(0)) # *filter nans before. Replaces nan, positive infinity, and negative infinity. X = torch.tensor([1, float(inf), 2, float(inf)]) x[x == float(inf)] = 0 x # should be 1, 0, 2, 0 now X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown. Torch Set Nan To 0.
From www.airgas.com
Airgas ESA0558102493 ESAB® TXH 201 200 Amp Air Cooled TIG Torch Torch Set Nan To 0 I want to assign nan to a tensor element. Replaces nan, positive infinity, and negative infinity. X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown number of nans and infinities. Import torch x=torch.randn(1, requires_grad=true) w=torch.tensor(float(nan)) z=(x*w.nan_to_num(0)) # *filter nans before. Replaces nan, positive infinity, and negative infinity. Torch.nan_to_num(input, nan=0.0, posinf=none, neginf=none, *, out=none) →. Torch Set Nan To 0.
From victortorch.blogspot.com
Victor Equipment Information Victor Portable Welding and Cutting Torch Torch Set Nan To 0 X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown number of nans and infinities. Replaces nan, positive infinity, and negative infinity. Replaces nan, positive infinity, and negative infinity. X = torch.tensor([1, 2, 3]) x[x == 2] = none. Import torch x=torch.randn(1, requires_grad=true) w=torch.tensor(float(nan)) z=(x*w.nan_to_num(0)) # *filter nans before. I want to assign nan to. Torch Set Nan To 0.
From tillescenter.org
Zero Welding Tool Hand Torch ZR1D1 For Use With MAPP or PROPANE Gas Torch Set Nan To 0 X = torch.tensor([1, 2, 3]) x[x == 2] = none. Replaces nan, positive infinity, and negative infinity. Import torch x=torch.randn(1, requires_grad=true) w=torch.tensor(float(nan)) z=(x*w.nan_to_num(0)) # *filter nans before. I want to assign nan to a tensor element. X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown number of nans and infinities. Replaces nan, positive infinity,. Torch Set Nan To 0.
From wonderfulengineering.com
10 Best Cutting Torch Kits Torch Set Nan To 0 X = torch.tensor([1, 2, 3]) x[x == 2] = none. X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown number of nans and infinities. X = torch.tensor([1, float(inf), 2, float(inf)]) x[x == float(inf)] = 0 x # should be 1, 0, 2, 0 now I want to assign nan to a tensor element. Replaces. Torch Set Nan To 0.
From shopee.com.my
MAPP GAS & OXYGEN TORCH SET Welding Torch Brazing Torch Soldering Torch Set Nan To 0 I want to assign nan to a tensor element. Replaces nan, positive infinity, and negative infinity. Torch.nan_to_num(input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. Replaces nan, positive infinity, and negative infinity. X = torch.tensor([1, float(inf), 2, float(inf)]) x[x == float(inf)] = 0 x # should be 1, 0, 2, 0 now Import torch x=torch.randn(1, requires_grad=true) w=torch.tensor(float(nan)) z=(x*w.nan_to_num(0)) # *filter nans. Torch Set Nan To 0.
From sydneytools.com.au
Bernzomatic WS5500XTK 400g MAPPro & 400g Oxygen Cutting, Welding Torch Set Nan To 0 Import torch x=torch.randn(1, requires_grad=true) w=torch.tensor(float(nan)) z=(x*w.nan_to_num(0)) # *filter nans before. Torch.nan_to_num (input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. Torch.nan_to_num(input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. X = torch.tensor([1, 2, 3]) x[x == 2] = none. Replaces nan, positive infinity, and negative infinity. X = torch.tensor([1, float(inf), 2, float(inf)]) x[x == float(inf)] = 0 x # should be 1,. Torch Set Nan To 0.
From www.homedepot.com
Lincoln Electric PortATorch Kit with Oxygen and Acetylene Tanks and 3 Torch Set Nan To 0 I want to assign nan to a tensor element. X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown number of nans and infinities. X = torch.tensor([1, float(inf), 2, float(inf)]) x[x == float(inf)] = 0 x # should be 1, 0, 2, 0 now Replaces nan, positive infinity, and negative infinity. Torch.nan_to_num(input, nan=0.0, posinf=none, neginf=none,. Torch Set Nan To 0.
From www.amazon.ca
ABN Oxygen & Acetylene Torch Kit 10 Pc Welding Kit Metal Cutting Torch Set Nan To 0 Replaces nan, positive infinity, and negative infinity. X = torch.tensor([1, float(inf), 2, float(inf)]) x[x == float(inf)] = 0 x # should be 1, 0, 2, 0 now X = torch.tensor([1, 2, 3]) x[x == 2] = none. I want to assign nan to a tensor element. Replaces nan, positive infinity, and negative infinity. Torch.nan_to_num(input, nan=0.0, posinf=none, neginf=none, *, out=none) →. Torch Set Nan To 0.
From discuss.pytorch.org
Torch randn operation gives NaN values in training loop vision Torch Set Nan To 0 Replaces nan, positive infinity, and negative infinity. X = torch.tensor([1, float(inf), 2, float(inf)]) x[x == float(inf)] = 0 x # should be 1, 0, 2, 0 now Import torch x=torch.randn(1, requires_grad=true) w=torch.tensor(float(nan)) z=(x*w.nan_to_num(0)) # *filter nans before. X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown number of nans and infinities. Replaces nan, positive. Torch Set Nan To 0.
From econosuperstore.com
UL Oxygen Acetylene Regulator Gauges Victor Type Welding Cutting Torch Torch Set Nan To 0 Torch.nan_to_num(input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. X = torch.tensor([1, 2, 3]) x[x == 2] = none. X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown number of nans and infinities. Replaces nan, positive infinity, and negative infinity. Replaces nan, positive infinity, and negative infinity. Torch.nan_to_num (input, nan=0.0, posinf=none, neginf=none, *, out=none) →. Torch Set Nan To 0.
From econosuperstore.com
Complete Oxygen Acetylene Oxy Welding Cutting Weld Torch Regulator Torch Set Nan To 0 X = torch.tensor([1, float(inf), 2, float(inf)]) x[x == float(inf)] = 0 x # should be 1, 0, 2, 0 now Replaces nan, positive infinity, and negative infinity. X = torch.tensor([1, 2, 3]) x[x == 2] = none. Torch.nan_to_num (input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. I want to assign nan to a tensor element. Replaces nan, positive infinity, and. Torch Set Nan To 0.
From www.primaryict.co.uk
Classroom Torch Set (Pack of 12) in 4 Colours CD48012 buy at Torch Set Nan To 0 I want to assign nan to a tensor element. Replaces nan, positive infinity, and negative infinity. Torch.nan_to_num (input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. Torch.nan_to_num(input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown number of nans and infinities. X = torch.tensor([1, 2, 3]) x[x ==. Torch Set Nan To 0.
From wonderfulengineering.com
10 Best Cutting Torch Kits Torch Set Nan To 0 X = torch.tensor([1, 2, 3]) x[x == 2] = none. Torch.nan_to_num (input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown number of nans and infinities. X = torch.tensor([1, float(inf), 2, float(inf)]) x[x == float(inf)] = 0 x # should be 1, 0, 2, 0 now Import. Torch Set Nan To 0.
From www.grelly.com
New Gas Welding Cutting Kit Oxy Acetylene Grelly USA Torch Set Nan To 0 I want to assign nan to a tensor element. Replaces nan, positive infinity, and negative infinity. Torch.nan_to_num(input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. X = torch.tensor([1, 2, 3]) x[x == 2] = none. X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown number of nans and infinities. X = torch.tensor([1, float(inf), 2, float(inf)]). Torch Set Nan To 0.
From www.walmart.com
Forney Oxygen Acetylene Torch Kit Torch Set Nan To 0 Torch.nan_to_num(input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. X = torch.tensor([1, 2, 3]) x[x == 2] = none. Replaces nan, positive infinity, and negative infinity. Replaces nan, positive infinity, and negative infinity. X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown number of nans and infinities. I want to assign nan to a tensor. Torch Set Nan To 0.
From imagetou.com
Pytorch Nan To Zero Image to u Torch Set Nan To 0 Torch.nan_to_num(input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. Torch.nan_to_num (input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. X = torch.tensor([1, float(inf), 2, float(inf)]) x[x == float(inf)] = 0 x # should be 1, 0, 2, 0 now Import torch x=torch.randn(1, requires_grad=true) w=torch.tensor(float(nan)) z=(x*w.nan_to_num(0)) # *filter nans before. I want to assign nan to a tensor element. Replaces nan, positive infinity,. Torch Set Nan To 0.
From www.walmart.com
Stark Portable Victor Type Welding & Cutting Torch Kit Oxygen Acetylene Torch Set Nan To 0 X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown number of nans and infinities. X = torch.tensor([1, 2, 3]) x[x == 2] = none. Replaces nan, positive infinity, and negative infinity. X = torch.tensor([1, float(inf), 2, float(inf)]) x[x == float(inf)] = 0 x # should be 1, 0, 2, 0 now I want to. Torch Set Nan To 0.
From www.walmart.com
Stark Portable Gas Gas Welding Cutting Torch Kit Oxy Acetylene Oxygen Torch Set Nan To 0 Import torch x=torch.randn(1, requires_grad=true) w=torch.tensor(float(nan)) z=(x*w.nan_to_num(0)) # *filter nans before. Replaces nan, positive infinity, and negative infinity. Torch.nan_to_num(input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown number of nans and infinities. X = torch.tensor([1, float(inf), 2, float(inf)]) x[x == float(inf)] = 0 x # should be. Torch Set Nan To 0.
From iaicorporation.com
Scorch Torch 45 Degree to Straight Lighter 12ct/display IAI Torch Set Nan To 0 Replaces nan, positive infinity, and negative infinity. X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown number of nans and infinities. X = torch.tensor([1, 2, 3]) x[x == 2] = none. X = torch.tensor([1, float(inf), 2, float(inf)]) x[x == float(inf)] = 0 x # should be 1, 0, 2, 0 now I want to. Torch Set Nan To 0.
From dat.perueduca.edu.pe
Oxygen Acetylene Torch Settings Chart Printable Templates Free Torch Set Nan To 0 Import torch x=torch.randn(1, requires_grad=true) w=torch.tensor(float(nan)) z=(x*w.nan_to_num(0)) # *filter nans before. Replaces nan, positive infinity, and negative infinity. Torch.nan_to_num (input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. X = torch.tensor([1, 2, 3]) x[x == 2] = none. Replaces nan, positive infinity, and negative infinity. Torch.nan_to_num(input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. I want to assign nan to a tensor element.. Torch Set Nan To 0.
From www.walmart.com
SÜA 25 Series Gas Welding & Cutting Kit Oxygen Torch Acetylene Welder Torch Set Nan To 0 X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown number of nans and infinities. X = torch.tensor([1, 2, 3]) x[x == 2] = none. Replaces nan, positive infinity, and negative infinity. Import torch x=torch.randn(1, requires_grad=true) w=torch.tensor(float(nan)) z=(x*w.nan_to_num(0)) # *filter nans before. Torch.nan_to_num(input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. Replaces nan, positive infinity, and. Torch Set Nan To 0.
From www.walmart.com
EAYSG Professional Portable Oxygen Acetylene Oxy Welding Cutting Torch Torch Set Nan To 0 Replaces nan, positive infinity, and negative infinity. Import torch x=torch.randn(1, requires_grad=true) w=torch.tensor(float(nan)) z=(x*w.nan_to_num(0)) # *filter nans before. Torch.nan_to_num(input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. X = torch.tensor([1, float(inf), 2, float(inf)]) x[x == float(inf)] = 0 x # should be 1, 0, 2, 0 now X = torch.tensor([1, 2, 3]) x[x == 2] = none. I want to assign nan. Torch Set Nan To 0.
From www.homedepot.com
Bernzomatic WK5500 Brazing Torch Kit361487 The Home Depot Torch Set Nan To 0 X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown number of nans and infinities. Replaces nan, positive infinity, and negative infinity. Import torch x=torch.randn(1, requires_grad=true) w=torch.tensor(float(nan)) z=(x*w.nan_to_num(0)) # *filter nans before. X = torch.tensor([1, float(inf), 2, float(inf)]) x[x == float(inf)] = 0 x # should be 1, 0, 2, 0 now I want to. Torch Set Nan To 0.
From www.newportbutane.com
Newport Zero 5.5" Mini Torch Black YinYang Torch Set Nan To 0 Torch.nan_to_num(input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. I want to assign nan to a tensor element. Replaces nan, positive infinity, and negative infinity. Replaces nan, positive infinity, and negative infinity. X = torch.randn(b,c,x, y) x_fix = torch.zeros_… suppose i have a tensor with some unknown number of nans and infinities. Import torch x=torch.randn(1, requires_grad=true) w=torch.tensor(float(nan)) z=(x*w.nan_to_num(0)) # *filter nans. Torch Set Nan To 0.
From www.homedepot.com
Forney 1753 Tote A Torch Light/Medium Duty, Torch Cutting and Welding Torch Set Nan To 0 Replaces nan, positive infinity, and negative infinity. X = torch.tensor([1, float(inf), 2, float(inf)]) x[x == float(inf)] = 0 x # should be 1, 0, 2, 0 now Torch.nan_to_num (input, nan=0.0, posinf=none, neginf=none, *, out=none) → tensor. X = torch.tensor([1, 2, 3]) x[x == 2] = none. Import torch x=torch.randn(1, requires_grad=true) w=torch.tensor(float(nan)) z=(x*w.nan_to_num(0)) # *filter nans before. Replaces nan, positive infinity,. Torch Set Nan To 0.
