Tensor 0.4.11

F# Tensor (multidimensional array) library with SIMD and GPU acceleration

Tensor (n-dimensional array) library for F#

     Core features:
       - n-dimensional arrays (tensors) in host memory or on CUDA GPUs
       - element-wise operations (addition, multiplication, absolute value, etc.)
       - basic linear algebra operations (dot product, SVD decomposition, matrix inverse, etc.)
       - reduction operations (sum, product, average, maximum, arg max, etc.)
       - logic operations (comparision, and, or, etc.)
       - views, slicing, reshaping, broadcasting (similar to NumPy)
       - scatter and gather by indices
       - standard functional operations (map, fold, etc.)

     Data exchange:
       - read/write support for HDF5 (.h5)
       - interop with standard F# types (Seq, List, Array, Array2D, Array3D, etc.)

     Performance:
       - host: SIMD and BLAS accelerated operations
         - by default Intel MKL is used (shipped with NuGet package)
         - other BLASes (OpenBLAS, vendor-specific) can be selected by configuration option
       - CUDA GPU: all operations performed locally on GPU and cuBLAS used for matrix operations

     Requirements:
       - Linux, MacOS or Windows on x64
       - Linux requires libgomp.so.1 installed.

     Additional algorithms are provided in the Tensor.Algorithm package.

Install-Package Tensor -Version 0.4.11
dotnet add package Tensor --version 0.4.11
paket add Tensor --version 0.4.11
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

Version History

Version Downloads Last updated
0.4.11 274 5/8/2018
0.4.11-v0.4.11-215 88 5/8/2018
0.4.11-symtensor-core-242 34 11/15/2018
0.4.11-symtensor-core-241 33 11/15/2018
0.4.11-symtensor-core-240 37 11/15/2018
0.4.11-symtensor-core-239 33 11/15/2018
0.4.11-symtensor-core-238 32 11/15/2018
0.4.11-symtensor-core-237 35 11/15/2018
0.4.11-symtensor-core-236 32 11/14/2018
0.4.11-symtensor-core-235 35 11/14/2018
0.4.11-symtensor-core-234 37 11/14/2018
0.4.11-symtensor-core-231 39 11/9/2018
0.4.11-symtensor-core-230 32 11/9/2018
0.4.11-symtensor-core-229 33 11/8/2018
0.4.11-symtensor-core-228 33 11/8/2018
0.4.11-symtensor-core-227 33 10/30/2018
0.4.11-symtensor-core-226 32 10/30/2018
0.4.11-symtensor-core-225 33 10/30/2018
0.4.11-develop-216 98 5/8/2018
0.4.10-develop-213 97 5/8/2018
0.4.10-develop-212 96 5/7/2018
0.4.10-develop-211 96 5/7/2018
0.3.0.712-master 126 9/1/2017
0.3.0.711-master 109 9/1/2017
0.3.0.710-master 109 9/1/2017
0.3.0.709-master 111 8/31/2017
0.3.0.708-master 113 8/30/2017
0.3.0.707-master 112 8/30/2017
0.3.0.706-master 111 8/30/2017
0.3.0.701-master 149 6/26/2017
0.3.0.700-master 152 6/22/2017
0.3.0.699-master 138 6/22/2017
0.3.0.698-master 139 6/21/2017
0.3.0.697-master 138 6/21/2017
0.3.0.696-master 137 6/21/2017
0.3.0.695-master 140 6/21/2017
0.3.0.694-master 136 6/21/2017
0.3.0.693-master 143 6/20/2017
0.3.0.692-master 142 6/19/2017
0.3.0.691-master 142 6/19/2017
0.3.0.690-master 140 6/19/2017
0.3.0.689-master 142 5/14/2017
0.3.0.688 326 5/14/2017
0.3.0.686-master 138 5/14/2017
0.2.0.591-master 144 4/19/2017
0.2.0.565-master 142 4/11/2017
0.2.0.556-master 144 3/21/2017
0.2.0.551-master 159 3/17/2017
0.2.0.540-master 141 3/15/2017
0.2.0.536-master 139 3/14/2017
0.2.0.519-master 144 3/2/2017
0.2.0.516-master 141 3/2/2017
0.2.0.499-master 159 2/13/2017
0.2.0.494-master 153 2/7/2017
0.2.0.479-master 154 2/1/2017
0.2.0.463-master 163 1/17/2017
0.2.0.431-master 185 12/2/2016
0.2.0.422-master 160 11/9/2016
0.2.0.421-master 158 11/9/2016
0.2.0.411-master 191 10/26/2016
0.2.0.400-master 154 10/26/2016
0.2.0.394-master 162 10/25/2016
0.2.0.382-master 155 10/21/2016
0.2.0.377-master 158 10/20/2016
0.2.0.323-master 159 10/11/2016
0.2.0.262-master 157 9/29/2016
0.2.0.248-master 159 9/27/2016
0.2.0.174-master 165 9/16/2016
0.2.0.128-master 156 9/8/2016
0.2.0.122-master 157 9/8/2016
0.2.0.121-master 157 9/7/2016
0.2.0.111-master 156 9/7/2016
0.2.0.105-ci 156 9/5/2016
0.2.0.97-ci 157 8/30/2016
0.2.0.96-ci 158 8/29/2016
0.2.0.90-ci 158 8/25/2016
0.2.0.89-ci 159 8/24/2016
0.2.0.88-ci 162 8/24/2016
0.2.0.87-ci 160 8/24/2016
0.2.0.86-ci 160 8/23/2016
0.2.0.85-ci 160 8/22/2016
0.2.0.84-ci 157 8/22/2016
0.2.0.83-ci 162 8/22/2016
0.2.0.82 256 8/22/2016
0.2.0.81-ci 164 8/19/2016
0.2.0.80-ci 172 6/27/2016
0.2.0.79-ci 170 6/27/2016
0.2.0.77-ci 172 6/22/2016
0.2.0.76-ci 169 6/22/2016
0.2.0.75 198 6/15/2016
0.2.0.74-ci 175 6/15/2016
0.2.0.73 177 6/15/2016
0.2.0.72 178 6/15/2016
0.2.0.71 188 6/14/2016
0.2.0.70 183 6/9/2016
0.2.0.69 176 6/9/2016
0.2.0.68 176 6/9/2016
0.2.0.67 179 6/8/2016
0.2.0.66-ci 168 6/8/2016
0.2.0.65-ci 168 6/8/2016
0.2.0.64-ci 170 6/8/2016
0.2.0.63-ci 171 6/7/2016
0.2.0.62 181 6/7/2016
0.2.0.61 178 6/6/2016
0.2.0.60 173 6/6/2016
0.2.0.59 174 6/6/2016
0.2.0.57 178 6/3/2016
0.2.0.56 172 6/3/2016
0.2.0.55 160 6/3/2016
0.2.0.54 178 6/3/2016
0.2.0.53 174 6/3/2016
0.2.0.52-ci 169 6/2/2016
0.2.0.51-ci 167 6/2/2016
0.2.0.50-ci 168 6/2/2016
0.2.0.49 177 5/31/2016
0.2.0.48-ci 163 5/31/2016
0.2.0.46-ci 169 5/31/2016
0.2.0.45 174 5/31/2016
0.2.0.44 173 5/31/2016
0.2.0.43 168 5/31/2016
0.2.0.42 182 5/30/2016
0.2.0.41 180 5/30/2016
0.2.0.40 178 5/30/2016
0.2.0.39 175 5/30/2016
0.2.0.38 178 5/30/2016
0.2.0.37 175 5/30/2016
0.2.0.36 178 5/25/2016
0.2.0.35 181 5/24/2016
0.2.0.34 178 5/24/2016
0.2.0.33 174 5/24/2016
0.2.0.32-ci 170 5/24/2016
0.1.26-ci 168 5/24/2016
0.1.24-ci 167 5/24/2016
0.1.19-ci 166 5/24/2016