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
0.4.11 384 5/8/2018
0.4.11-v0.4.11-215 114 5/8/2018
0.4.11-symtensor-core-242 73 11/15/2018
0.4.11-symtensor-core-241 69 11/15/2018
0.4.11-symtensor-core-240 81 11/15/2018
0.4.11-symtensor-core-239 76 11/15/2018
0.4.11-symtensor-core-238 77 11/15/2018
0.4.11-symtensor-core-237 114 11/15/2018
0.4.11-symtensor-core-236 69 11/14/2018
0.4.11-symtensor-core-235 73 11/14/2018
0.4.11-symtensor-core-234 75 11/14/2018
0.4.11-symtensor-core-231 108 11/9/2018
0.4.11-symtensor-core-230 89 11/9/2018
0.4.11-symtensor-core-229 67 11/8/2018
0.4.11-symtensor-core-228 65 11/8/2018
0.4.11-symtensor-core-227 102 10/30/2018
0.4.11-symtensor-core-226 103 10/30/2018
0.4.11-symtensor-core-225 74 10/30/2018
0.4.11-develop-216 138 5/8/2018
0.4.10-develop-213 138 5/8/2018
0.4.10-develop-212 139 5/7/2018
0.4.10-develop-211 137 5/7/2018
0.3.0.712-master 163 9/1/2017
0.3.0.711-master 146 9/1/2017
0.3.0.710-master 145 9/1/2017
0.3.0.709-master 147 8/31/2017
0.3.0.708-master 149 8/30/2017
0.3.0.707-master 148 8/30/2017
0.3.0.706-master 147 8/30/2017
0.3.0.701-master 186 6/26/2017
0.3.0.700-master 189 6/22/2017
0.3.0.699-master 171 6/22/2017
0.3.0.698-master 170 6/21/2017
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0.3.0.693-master 176 6/20/2017
0.3.0.692-master 175 6/19/2017
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0.3.0.689-master 177 5/14/2017
0.3.0.688 396 5/14/2017
0.3.0.686-master 175 5/14/2017
0.2.0.591-master 179 4/19/2017
0.2.0.565-master 175 4/11/2017
0.2.0.556-master 181 3/21/2017
0.2.0.551-master 196 3/17/2017
0.2.0.540-master 179 3/15/2017
0.2.0.536-master 175 3/14/2017
0.2.0.519-master 181 3/2/2017
0.2.0.516-master 177 3/2/2017
0.2.0.499-master 196 2/13/2017
0.2.0.494-master 190 2/7/2017
0.2.0.479-master 190 2/1/2017
0.2.0.463-master 198 1/17/2017
0.2.0.431-master 221 12/2/2016
0.2.0.422-master 195 11/9/2016
0.2.0.421-master 189 11/9/2016
0.2.0.411-master 227 10/26/2016
0.2.0.400-master 190 10/26/2016
0.2.0.394-master 200 10/25/2016
0.2.0.382-master 191 10/21/2016
0.2.0.377-master 196 10/20/2016
0.2.0.323-master 195 10/11/2016
0.2.0.262-master 193 9/29/2016
0.2.0.248-master 196 9/27/2016
0.2.0.174-master 206 9/16/2016
0.2.0.128-master 191 9/8/2016
0.2.0.122-master 190 9/8/2016
0.2.0.121-master 191 9/7/2016
0.2.0.111-master 187 9/7/2016
0.2.0.105-ci 198 9/5/2016
0.2.0.97-ci 201 8/30/2016
0.2.0.96-ci 193 8/29/2016
0.2.0.90-ci 193 8/25/2016
0.2.0.89-ci 195 8/24/2016
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0.2.0.82 293 8/22/2016
0.2.0.81-ci 200 8/19/2016
0.2.0.80-ci 209 6/27/2016
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0.2.0.75 235 6/15/2016
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0.2.0.71 264 6/14/2016
0.2.0.70 221 6/9/2016
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0.2.0.67 216 6/8/2016
0.2.0.66-ci 205 6/8/2016
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0.2.0.63-ci 209 6/7/2016
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0.2.0.61 215 6/6/2016
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0.2.0.57 216 6/3/2016
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0.2.0.55 239 6/3/2016
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0.2.0.52-ci 203 6/2/2016
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0.2.0.49 214 5/31/2016
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0.2.0.42 219 5/30/2016
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0.2.0.36 215 5/25/2016
0.2.0.35 233 5/24/2016
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