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
0.4.11 377 5/8/2018
0.4.11-v0.4.11-215 111 5/8/2018
0.4.11-symtensor-core-242 70 11/15/2018
0.4.11-symtensor-core-241 66 11/15/2018
0.4.11-symtensor-core-240 78 11/15/2018
0.4.11-symtensor-core-239 75 11/15/2018
0.4.11-symtensor-core-238 74 11/15/2018
0.4.11-symtensor-core-237 69 11/15/2018
0.4.11-symtensor-core-236 66 11/14/2018
0.4.11-symtensor-core-235 68 11/14/2018
0.4.11-symtensor-core-234 68 11/14/2018
0.4.11-symtensor-core-231 67 11/9/2018
0.4.11-symtensor-core-230 62 11/9/2018
0.4.11-symtensor-core-229 60 11/8/2018
0.4.11-symtensor-core-228 60 11/8/2018
0.4.11-symtensor-core-227 98 10/30/2018
0.4.11-symtensor-core-226 97 10/30/2018
0.4.11-symtensor-core-225 68 10/30/2018
0.4.11-develop-216 135 5/8/2018
0.4.10-develop-213 135 5/8/2018
0.4.10-develop-212 136 5/7/2018
0.4.10-develop-211 134 5/7/2018
0.3.0.712-master 160 9/1/2017
0.3.0.711-master 143 9/1/2017
0.3.0.710-master 142 9/1/2017
0.3.0.709-master 141 8/31/2017
0.3.0.708-master 143 8/30/2017
0.3.0.707-master 142 8/30/2017
0.3.0.706-master 146 8/30/2017
0.3.0.701-master 179 6/26/2017
0.3.0.700-master 186 6/22/2017
0.3.0.699-master 168 6/22/2017
0.3.0.698-master 169 6/21/2017
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0.3.0.689-master 171 5/14/2017
0.3.0.688 392 5/14/2017
0.3.0.686-master 168 5/14/2017
0.2.0.591-master 174 4/19/2017
0.2.0.565-master 172 4/11/2017
0.2.0.556-master 175 3/21/2017
0.2.0.551-master 193 3/17/2017
0.2.0.540-master 172 3/15/2017
0.2.0.536-master 168 3/14/2017
0.2.0.519-master 174 3/2/2017
0.2.0.516-master 170 3/2/2017
0.2.0.499-master 189 2/13/2017
0.2.0.494-master 183 2/7/2017
0.2.0.479-master 183 2/1/2017
0.2.0.463-master 195 1/17/2017
0.2.0.431-master 218 12/2/2016
0.2.0.422-master 192 11/9/2016
0.2.0.421-master 188 11/9/2016
0.2.0.411-master 221 10/26/2016
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0.2.0.394-master 194 10/25/2016
0.2.0.382-master 185 10/21/2016
0.2.0.377-master 190 10/20/2016
0.2.0.323-master 192 10/11/2016
0.2.0.262-master 190 9/29/2016
0.2.0.248-master 193 9/27/2016
0.2.0.174-master 199 9/16/2016
0.2.0.128-master 186 9/8/2016
0.2.0.122-master 187 9/8/2016
0.2.0.121-master 188 9/7/2016
0.2.0.111-master 186 9/7/2016
0.2.0.105-ci 192 9/5/2016
0.2.0.97-ci 193 8/30/2016
0.2.0.96-ci 188 8/29/2016
0.2.0.90-ci 187 8/25/2016
0.2.0.89-ci 189 8/24/2016
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0.2.0.82 289 8/22/2016
0.2.0.81-ci 197 8/19/2016
0.2.0.80-ci 206 6/27/2016
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0.2.0.75 231 6/15/2016
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0.2.0.71 260 6/14/2016
0.2.0.70 213 6/9/2016
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0.2.0.67 209 6/8/2016
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0.2.0.63-ci 206 6/7/2016
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0.2.0.61 208 6/6/2016
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0.2.0.57 208 6/3/2016
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0.2.0.55 235 6/3/2016
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0.2.0.52-ci 199 6/2/2016
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0.2.0.49 207 5/31/2016
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0.2.0.42 212 5/30/2016
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0.2.0.36 208 5/25/2016
0.2.0.35 225 5/24/2016
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