Python PyTorch from_numpy() Last Updated : 22 Apr, 2020 Comments Improve Suggest changes Like Article Like Report PyTorch is an open-source machine learning library developed by Facebook. It is used for deep neural network and natural language processing purposes. The function torch.from_numpy() provides support for the conversion of a numpy array into a tensor in PyTorch. It expects the input as a numpy array (numpy.ndarray). The output type is tensor. The returned tensor and ndarray share the same memory. The returned tensor is not resizable. It currently accepts ndarray with dtypes of numpy.float64, numpy.float32, numpy.float16, numpy.int64, numpy.int32, numpy.int16, numpy.int8, numpy.uint8, and numpy.bool. Syntax: torch.sinh(ndarray) Parameters: ndarray: Input Numpy array (numpy.ndarray) Return type: A tensor with the same type as that of x. Code #1: Python3 # Importing the PyTorch library import torch import numpy # A numpy array of size 6 a = numpy.array([1.0, -0.5, 3.4, -2.1, 0.0, -6.5]) print(a) # Applying the from_numpy function and # storing the resulting tensor in 't' t = torch.from_numpy(a) print(t) Output: [ 1. -0.5 3.4 -2.1 0. -6.5] tensor([ 1.0000, -0.5000, 3.4000, -2.1000, 0.0000, -6.5000], dtype=torch.float64) Modifications to the tensor will be reflected in the ndarray and vice versa. Comment More infoAdvertise with us Next Article Python PyTorch from_numpy() S sanskar27jain Follow Improve Article Tags : Python Python-PyTorch Practice Tags : python Similar Reads Python - PyTorch numel() method PyTorch torch.numel() method returns the total number of elements in the input tensor. Syntax: torch.numel(input) Arguments input: This is input tensor. Return: It returns the length of the input tensor. Let's see this concept with the help of few examples: Example 1: Python3 # Importing the PyTorch 1 min read Python - PyTorch frac() method PyTorch torch.frac() method computes the fractional portion of each element in input. Syntax: torch.frac(input, out=None) Arguments input: This is input tensor. out: The output tensor. Return: It returns a Tensor. Let's see this concept with the help of few examples: Example 1: Python3 # Importing t 1 min read Python - PyTorch floor() method PyTorch torch.floor() method returns a new tensor which is floor of the elements of input, the largest integer less than or equal to each element. Syntax: torch.floor(input, out=None) Arguments input: This is input tensor. out: The output tensor. Return: It returns a Tensor. Let's see this concept w 1 min read Python - PyTorch log() method PyTorch torch.log() method gives a new tensor having the natural logarithm of the elements of input tensor. Syntax: torch.log(input, out=None) Arguments input: This is input tensor. out: The output tensor. Return: It returns a Tensor. Let's see this concept with the help of few examples: Example 1: 1 min read Python PyTorch log2() method PyTorch log2() method computes the logarithm to the base 2 of the elements of an input tensor. Â It computes the logarithm values element-wise. Â It takes a tensor as an input and returns a new tensor with computed logarithm values. The elements of the input tensor must be between zero and the positiv 4 min read Python Pytorch ones() method PyTorch is an open-source machine learning library developed by Facebook. It is used for deep neural network and natural language processing purposes. The function torch.ones() returns a tensor filled with the scalar value 1, with the shape defined by the variable argument size. Syntax: torch.ones(s 1 min read Python | PyTorch cosh() method PyTorch is an open-source machine learning library developed by Facebook. It is used for deep neural network and natural language processing purposes. The function torch.cosh() provides support for the hyperbolic cosine function in PyTorch. It expects the input in radian form. The input type is tens 2 min read Python Pytorch full() method PyTorch is an open-source machine learning library developed by Facebook. It is used for deep neural network and natural language processing purposes. The function torch.full() returns a tensor of size size filled with fill_value. Syntax: torch.ones(size, fill_value, out=None) Parameters: size: a se 1 min read Python Pytorch empty() method PyTorch is an open-source machine learning library developed by Facebook. It is used for deep neural network and natural language processing purposes. The function torch.empty() returns a tensor filled with uninitialized data. The shape of the tensor is defined by the variable argument size. Syntax: 1 min read Python - PyTorch div() method PyTorch torch.div() method divides every element of the input with a constant and returns a new modified tensor. Syntax: torch.div(inp, other, out=None) Arguments inp: This is input tensor. other: This is a number to be divided to each element of input inp. out: The output tensor. Return: It returns 1 min read Like