srch

Arguments it takes are : A tensor; Dimension to be removed (0 by default). Returns a tuple of slices. Example 1(Working Example) : ...

Nov 21, 2017 · How to set ‘Inf’ in Tensor to 0? I don’t wish to use numpy since that require to set backward when using it in Networks. Thanks, Qinqing. richard November 22 ...

Returns a Tensor with same torch.dtype and torch.device as the Tensor other. When non_blocking, tries to convert asynchronously with respect to the host if possible, e.g., converting a CPU Tensor with pinned memory to a CUDA Tensor. When copy is set, a new Tensor is created even when the Tensor already matches the desired conversion.

Jun 11, 2017 · >>> b nan nan -0.8395 nan nan nan -1.7921 nan 0.1864 [torch.FloatTensor of size 3x3] >>> b != b 1 1 0 1 1 1 0 1 0 [torch.ByteTensor of size 3x3] you can use b[b != b] = 0 to set all NaNs to zero. 42 Likes

Jul 17, 2020 · If I try to set the elements of the “test_tensor” to zero using test_tensor.zero_() I obtain different results and my tests fail. Questions: What could be the reason that these two ways work differently? Is it really beneficial in terms of memory to use test_tensor.zero_() or I could stick to the current way without an issue?

Like zeros() , passing an empty tuple or list gives a tensor of 0 dimension, having 1 as the sole element, whose data type is float. The full() ...

This will create a one-dimensional Tensor where all values are one (or zero). You cannot fill existing data with ones or zeros. Passing anything ...

Tensor( 5, 5 ) t.fill_(0.3) # Tensor.fill_(value) <- Set all entries to value ... t.normal_() # Tensor.normal_(mean=0, std=1) <- Fill with iid normals.

Nov 17, 2018 · Hello, I have a tensor size of BxCxHxW that assign to cuda likes input=input.to(device) I have a numpy array size of HxW with the type of bool, the value in the numpy array is randomly generated by True or False. Based on the numpy array, I want to change the value in the tensor with a condition: If the value in numpy at position x,y is True, then change the value in the tensor to zero ...

torch.Tensor.is_set_to¶ Tensor. is_set_to (tensor) → bool ¶ Returns True if both tensors are pointing to the exact same memory (same storage, offset, size and stride).

Hello, I have a tensor size of BxCxHxW that assign to cuda likes input=input.to(device) I have a numpy array size of HxW with the type of ...

26.04.2021 · randomly set 60% of its elements to zero. After updating the weights, keep 60% of the elements equal to zero but again randomly i.e., not the same previous elements.

torch.zeros([2, 4], dtype=torch.int32) tensor([[ 0, 0, 0, 0], [ 0, 0, 0, 0]], ... might need to zero .grad attributes or set them to None before calling it.

Pretty much exactly how you would do it using numpy, like so: tensor[tensor!=0] = 0. In order to replace zeros and non-zeros, ...

17.11.2018 · Hello, I have a tensor size of BxCxHxW that assign to cuda likes input=input.to(device) I have a numpy array size of HxW with the type of bool, the value in the numpy array is randomly generated by True or False. Based on the numpy array, I want to change the value in the tensor with a condition: If the value in numpy at position x,y is True, then change the value in the tensor …

I have Pytorch 2d tensor with normal distribution. Is there a fast way to nullify top 10% max values of this tensor using Python? I see two possible ways here: Flatten tensor to 1d and just sort it; Non-vectorized way using some native Python operators (for-if) But neither of these looks fast enough.

Returns a Tensor with the specified device and (optional) dtype.If dtype is None it is inferred to be self.dtype.When non_blocking, tries to convert asynchronously with respect to the host if possible, e.g., converting a CPU Tensor with pinned memory to a CUDA Tensor.When copy is set, a new Tensor is created even when the Tensor already matches the desired conversion.

Apr 27, 2021 · Therefore, I think the ready functions in pytorch, if any, might not be helpful. I tried the follwoing code, it is working but it takes so long because after every time I update my weight tensor, I have to run that code to set the weight tensor again to be 60% zeros

17.07.2020 · If I try to set the elements of the “test_tensor” to zero using test_tensor.zero_() I obtain different results and my tests fail. Questions: What could be the reason that these two ways work differently? Is it really beneficial in terms of memory to use test_tensor.zero_() or I could stick to the current way without an issue?

11.06.2017 · Hi, all How to set 'nan' in Tensor to 0? Now I have a extremely inefficient method: my_tensor_np = my_tensor.cpu().numpy() my_tensor_np [np.isnan(my_tensor_np )] = 0 my ... See discussion in ReLU turns nan into zeros. As of pytorch 4.1 ReLU can’t be used for this anymore though. I’ve asked about it there. NaN in input tensors.