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Updated 4 years ago
!pip install jovian --upgrade --quietIn this notebook, we are going to learn about PyTorch Tensors.
What is a Tensor?
A Tensor can simply be a scalar(number) or a generic n-dimensional vector, matrix or an array which is similar to a numpy array. Tensors can be put on GPU where as the numpy arrays exist only on CPU.
A Tensor consists of single data type.
Let's begin installing and importing necessary libraries
!conda install pytorch cpuonly -c pytorch -yCollecting package metadata (current_repodata.json): done
Solving environment: done
==> WARNING: A newer version of conda exists. <==
current version: 4.8.2
latest version: 4.8.3
Please update conda by running
$ conda update -n base conda
## Package Plan ##
environment location: /srv/conda/envs/notebook
added / updated specs:
- cpuonly
- pytorch
The following packages will be downloaded:
package | build
---------------------------|-----------------
blas-1.0 | mkl 6 KB defaults
ca-certificates-2020.6.20 | hecda079_0 145 KB conda-forge
certifi-2020.6.20 | py37hc8dfbb8_0 151 KB conda-forge
cpuonly-1.0 | 0 2 KB pytorch
intel-openmp-2019.4 | 243 729 KB defaults
libgfortran-ng-7.5.0 | hdf63c60_6 1.7 MB conda-forge
mkl-2019.4 | 243 131.2 MB defaults
mkl-service-2.3.0 | py37h516909a_0 64 KB conda-forge
mkl_fft-1.1.0 | py37hc1659b7_1 173 KB conda-forge
mkl_random-1.1.0 | py37hd6b4f25_0 321 KB defaults
ninja-1.10.0 | hc9558a2_0 1.9 MB conda-forge
numpy-1.18.5 | py37ha1c710e_0 5 KB defaults
numpy-base-1.18.5 | py37hde5b4d6_0 4.1 MB defaults
pytorch-1.5.1 | py3.7_cpu_0 37.9 MB pytorch
------------------------------------------------------------
Total: 178.3 MB
The following NEW packages will be INSTALLED:
blas pkgs/main/linux-64::blas-1.0-mkl
cpuonly pytorch/noarch::cpuonly-1.0-0
intel-openmp pkgs/main/linux-64::intel-openmp-2019.4-243
libgfortran-ng conda-forge/linux-64::libgfortran-ng-7.5.0-hdf63c60_6
mkl pkgs/main/linux-64::mkl-2019.4-243
mkl-service conda-forge/linux-64::mkl-service-2.3.0-py37h516909a_0
mkl_fft conda-forge/linux-64::mkl_fft-1.1.0-py37hc1659b7_1
mkl_random pkgs/main/linux-64::mkl_random-1.1.0-py37hd6b4f25_0
ninja conda-forge/linux-64::ninja-1.10.0-hc9558a2_0
numpy pkgs/main/linux-64::numpy-1.18.5-py37ha1c710e_0
numpy-base pkgs/main/linux-64::numpy-base-1.18.5-py37hde5b4d6_0
pytorch pytorch/linux-64::pytorch-1.5.1-py3.7_cpu_0
The following packages will be UPDATED:
ca-certificates 2020.4.5.1-hecc5488_0 --> 2020.6.20-hecda079_0
certifi 2020.4.5.1-py37hc8dfbb8_0 --> 2020.6.20-py37hc8dfbb8_0
Downloading and Extracting Packages
mkl-2019.4 | 131.2 MB | ##################################### | 100%
intel-openmp-2019.4 | 729 KB | ##################################### | 100%
pytorch-1.5.1 | 37.9 MB | ##################################### | 100%
mkl-service-2.3.0 | 64 KB | ##################################### | 100%
libgfortran-ng-7.5.0 | 1.7 MB | ##################################### | 100%
mkl_fft-1.1.0 | 173 KB | ##################################### | 100%
mkl_random-1.1.0 | 321 KB | ##################################### | 100%
numpy-base-1.18.5 | 4.1 MB | ##################################### | 100%
ninja-1.10.0 | 1.9 MB | ##################################### | 100%
certifi-2020.6.20 | 151 KB | ##################################### | 100%
numpy-1.18.5 | 5 KB | ##################################### | 100%
ca-certificates-2020 | 145 KB | ##################################### | 100%
cpuonly-1.0 | 2 KB | ##################################### | 100%
blas-1.0 | 6 KB | ##################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done