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RuntimeError: derivative for aten::_scaled_dot_product is not implemented
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0
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67
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April 4, 2024
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Autograd derivatives of multioutput ANN
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2
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105
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April 4, 2024
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Can PyTorch move a tensor along with its computational graph from GPU to CPU, and then move it back to GPU for backpropagation?
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2
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87
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April 4, 2024
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Unexpected error when performing backpropagation : "RuntimeError: self must be a matrix"
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4
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89
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April 3, 2024
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More efficient norm of gradient computations using vmap
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0
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58
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April 3, 2024
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Loss doesn't change PINN implementation of RLC equation
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0
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63
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April 2, 2024
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How to root cause - torch/autograd/__init__.py:xxx: UserWarning: Error detected in GeluBackward0. Traceback of forward call that caused the error
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2
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87
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March 31, 2024
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Why does ignore_index ignore the entire example and not the class?
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1
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72
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March 30, 2024
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Computing Hessian
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1
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96
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March 30, 2024
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Different size for tensor grad compared to the tensor itself
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4
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118
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March 29, 2024
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Multiple inputs in shared weight layers
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1
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95
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March 28, 2024
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Restricting output range in last layer of deep architecture [regression task]
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1
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64
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March 27, 2024
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More efficient autograd for matrix w.r.t matrix gradient computation?
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0
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61
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March 27, 2024
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Modifying intermediate layer output using Hooks
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4
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115
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March 27, 2024
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Loss becomes NaN when introducing regularization
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0
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97
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March 26, 2024
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Backward time consumption linearly increases with batch_size
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1
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64
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March 26, 2024
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Torch Batch Norm
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3
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80
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March 26, 2024
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Per Sample Gradients
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2
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78
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March 26, 2024
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During backward() | CUDA error: an illegal memory access was encountered
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4
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235
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March 26, 2024
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Use gradcam gradients during training
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0
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58
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March 26, 2024
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Partial derivatives using autograd for function with multiple parameters
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0
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71
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March 26, 2024
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Make torch linear layer probabilistic
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1
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81
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March 25, 2024
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Inplace operation error for gradient computation when trained on two dataloaders
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2
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124
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March 25, 2024
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Intermediate results in the forward method of my neural net have requires_grad=False
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3
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89
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March 23, 2024
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Trainable sorting order?
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1
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87
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March 22, 2024
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Which formula is used to calculate the derivative of torch.where/torch.nonzero
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1
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79
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March 22, 2024
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Batthacaryya loss
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11
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2533
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March 21, 2024
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When using loss.backward() then get error : Function MulBackward0 returned an invalid gradient at index 1 - expected device cuda:0 but got cuda:1
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7
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2166
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March 20, 2024
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Fine-grained control over gradient computation
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1
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152
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March 19, 2024
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About the gradient of intermediate variables w.r.t. input
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0
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86
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March 19, 2024
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