srch

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?

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.

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 …

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.

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 ...

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 ...

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 ...

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

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).

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.

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.

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 ...

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() ...

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.

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

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

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.

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.

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?

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