Breaking News: Grepper is joining You.com. Read the official announcement!

pytorch tensor

Add Answer

Innocent Iguana answered on November 24, 2021 Popularity 10/10 Helpfulness 2/10

answer pytorch tensor

related pytorch create tensor

related tensor indexing pytorch

pytorch tensor

Comment

import torch

# Creating tensor from list
some_tensor = torch.tensor(some_list)
# Converting tensor to list
list_convert = some_tensor.tolist()
# Creating tensor from numpy array
numpy_tensor = torch.from_numpy(some_array)
# Convert tensor to numpy array
array_convert = numpy_tensor.numpy()
# Access tensor element
print(some_tensor[0])
# Change tensor element
some_tensor[1] = 100
# Extract tensor element
print(some_tensor[0].item())
# Slicing tensor
sliced_tensor = numpy_tensor[1:3]
# Data type of tensor and type of tensor
print(some_tensor.dtype)
print(some_tensor.type())
# Create tensor of specified data-type
tensor_a = torch.tensor([1.3,1.4,4.2,7.4], dtype=torch.float64)
# Create tensor of specified type
tensor_b = torch.FloatTensor(some_list)
# Convert type of tensor
new_tensor = some_tensor.type(torch.FloatTensor)
# Number of elements in a tensor
print(new_tensor.size())
# Dimension or rank of a tensor
print(new_tensor.ndimension())
# Number of elements in a multi-dimensional tensor
print(new_tensor.numel())
# Shape of tensor
print(new_tensor.shape)
# Change dimension of tensor (from row to column)
row_tensor = tensor_a
col_tensor = row_tensor.view(-1,1) # -1 means all data, 1 stands for 1 column

# Tensor operations
u = torch.tensor([1,0])
v = torch.tensor([0,1])

z = u + v # Vector addition
u2 = u * 2 # Vector multiplication with scalar
prod_vec = u * v # Hadamard Product of two vectors 
dot_prod = torch.dot(u,v) # Dot Product of two vectors 
print(tensor_a.mean()) # Average of a tensor
print(tensor_a.max()) 
print(tensor_a.min()) # Min of a tensor
# Matrix multiplication of two vectors 
matrix_prod = torch.mm(a,b)
# Mathematical function
x= torch.tensor([x, x/2, 1])
print(torch.sin(x))

Popularity 10/10 Helpfulness 2/10 Language javascript

Source: Grepper

Tags: python pytorch tensor

Link to this answer
Share Copy Link

Contributed on May 29 2023

Innocent Iguana

0 Answers Avg Quality 2/10

Closely Related Answers

pytorch create tensor

Comment

torch.tensor([[1., -1.], [1., -1.]])

Popularity 10/10 Helpfulness 4/10 Language python

Source: pytorch.org

Tags: python py

Link to this answer
Share Copy Link

Contributed on Nov 24 2021

Sasso

0 Answers Avg Quality 2/10

tensor indexing pytorch

Comment

tensor = torch.Tensor([[1,2,3],[4,5,6],[7,8,9]])
# normal indexing/slicing works
# multiple dimensions can be put inside a single bracket pair
tensor[1:, ::2]
"""
tensor([[4., 6.],
        [7., 9.]])
"""

Popularity 9/10 Helpfulness 2/10 Language python

Source: Grepper

Tags: python py

Link to this answer
Share Copy Link

Contributed on Dec 23 2022

ZCaa369

0 Answers Avg Quality 2/10

pytorch tensor

Contents

More Related Answers

pytorch tensor

Closely Related Answers

pytorch create tensor

tensor indexing pytorch

Grepper

Documentation

Social

Legal

Contact

Oops, You will need to install Grepper and log-in to perform this action.