Gael Guennebaud
bbd97b4095
Add a EIGEN_NO_CUDA option, and introduce EIGEN_CUDACC and EIGEN_CUDA_ARCH aliases
2017-07-17 01:02:51 +02:00
Benoit Steiner
575cda76b3
Fixed syntax errors generated by xcode
2017-07-09 11:39:01 -07:00
Benoit Steiner
53725c10b8
Merged in mehdi_goli/opencl/DataDependancy (pull request PR-10)
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DataDependancy
* Wrapping data type to the pointer class for sycl in non-terminal nodes; not having that breaks Tensorflow Conv2d code.
* Applying Ronnan's Comments.
* Applying benoit's comments
2017-06-28 17:55:23 +00:00
Mehdi Goli
6bdd15f572
Adding non-deferrenciable pointer track for ComputeCpp backend; Adding TensorConvolutionOp for ComputeCpp; fixing typos. modifying TensorDeviceSycl to use the LegacyPointer class.
2017-01-19 11:30:59 +00:00
Benoit Steiner
c54ae65c83
Marked a few tensor operations as read only
2016-05-05 17:18:47 -07:00
Benoit Steiner
17fe7f354e
Deleted trailing commas
2016-04-29 18:39:01 -07:00
Benoit Steiner
9624a1ea3d
Added missing definition of PacketSize in the gpu evaluator of convolution
2016-04-14 17:16:58 -07:00
Rasmus Munk Larsen
235e83aba6
Eigen cost model part 1. This implements a basic recursive framework to estimate the cost of evaluating tensor expressions.
2016-04-14 13:57:35 -07:00
Benoit Steiner
e09eb835db
Decoupled the packet type definition from the definition of the tensor ops. All the vectorization is now defined in the tensor evaluators. This will make it possible to relialably support devices with different packet types in the same compilation unit.
2016-03-08 12:07:33 -08:00
Benoit Steiner
e80ed948e1
Fixed a number of compilation warnings generated by the cuda tests
2016-01-31 20:09:41 -08:00
Benoit Steiner
5b7713dd33
Record whether the underlying tensor storage can be accessed directly during the evaluation of an expression.
2016-01-19 17:05:10 -08:00
Benoit Steiner
2ab603316a
Use numext::mini/numext::maxi instead of std::min/std::max in the tensor code
2015-08-28 08:14:15 -07:00
Gael Guennebaud
aec4814370
Many files were missing in previous changeset.
2015-07-29 11:11:23 +02:00
Benoit Steiner
e892524efe
Added support for multi gpu configuration to the GpuDevice class
2015-07-15 12:38:34 -07:00
Benoit Steiner
1e911b276c
Misc improvements and optimizations
2015-07-01 13:59:11 -07:00
Benoit Steiner
925d0d375a
Enabled the vectorized evaluation of several tensor expressions that was previously disabled by mistake
2015-07-01 11:32:04 -07:00
Benoit Steiner
ea1190486f
Fixed a compilation error triggered by nvcc 7
2015-05-28 11:57:51 -07:00
Benoit Steiner
68d4afe985
Added support for convolution of tensors laid out in RowMajor mode
2015-03-31 09:07:09 -07:00
Benoit Steiner
780b2422e2
Silenced the last batch of compilation warnings triggered by gcc 4.8
2015-02-10 12:43:55 -08:00
Benoit Steiner
f697df7237
Improved support for RowMajor tensors
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Misc fixes and API cleanups.
2015-01-14 15:38:48 -08:00
Benoit Steiner
ae697b471c
Silenced a few compilation warnings
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Generalized a TensorMap constructor
2014-10-16 14:52:50 -07:00
Benoit Steiner
99d75235a9
Misc improvements and cleanups
2014-10-13 17:02:09 -07:00
Benoit Steiner
b24fe22b1a
Improved the performance of the tensor convolution code by a factor of about 4.
2014-09-03 11:38:13 -07:00
Benoit Steiner
9ac3c821ea
Improved the speed of convolutions when running on cuda devices
2014-08-19 16:57:10 -07:00
Benoit Steiner
f1d8c13dbc
Fixed misc typos.
2014-08-13 08:40:26 -07:00
Benoit Steiner
9faad2932f
Added missing apis.
2014-08-13 08:36:33 -07:00
Benoit Steiner
f8fad09301
Updated the convolution and contraction evaluators to follow the new EvalSubExprsIfNeeded apu.
2014-08-13 08:33:18 -07:00
Benoit Steiner
f80c8e17eb
Silenced a compilation warning
2014-06-13 10:12:12 -07:00
Benoit Steiner
38ab7e6ed0
Reworked the expression evaluation mechanism in order to make it possible to efficiently compute convolutions and contractions in the future:
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* The scheduling of computation is moved out the the assignment code and into a new TensorExecutor class
* The assignment itself is now a regular node on the expression tree
* The expression evaluators start by recursively evaluating all their subexpressions if needed
2014-06-13 09:56:51 -07:00
Benoit Steiner
aa664eabb9
Fixed a few compilation errors.
2014-06-10 10:31:29 -07:00
Benoit Steiner
925fb6b937
TensorEval are now typed on the device: this will make it possible to use partial template specialization to optimize the strategy of each evaluator for each device type.
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Started work on partial evaluations.
2014-06-10 09:14:44 -07:00
Benoit Steiner
a669052f12
Improved support for rvalues in tensor expressions.
2014-06-09 09:45:30 -07:00
Benoit Steiner
a961d72e65
Added support for convolution and reshaping of tensors.
2014-06-06 16:25:16 -07:00
