Eugene Zhulenev
2918f85ba9
Do not use std::vector in getResourceRequirements
2019-12-09 16:19:55 -08:00
Eugene Zhulenev
bc66c88255
Add async evaluation support to TensorPadding/TensorImagePatch/TensorShuffling
2019-11-26 11:41:57 -08:00
Eugene Zhulenev
13c3327f5c
Remove legacy block evaluation support
2019-11-12 10:12:28 -08:00
Rasmus Munk Larsen
97c0c5d485
Add block evaluation V2 to TensorAsyncExecutor.
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Add async evaluation to a number of ops.
2019-10-22 12:42:44 -07:00
Eugene Zhulenev
0d2a14ce11
Cleanup Tensor block destination and materialized block storage allocation
2019-10-16 17:14:37 -07:00
Eugene Zhulenev
a411e9f344
Block evaluation for TensorGenerator + TensorReverse + fixed bug in tensor reverse op
2019-10-10 10:56:58 -07:00
Eugene Zhulenev
f74ab8cb8d
Add block evaluation to TensorEvalTo and fix few small bugs
2019-10-07 15:34:26 -07:00
Eugene Zhulenev
ef9dfee7bd
Tensor block evaluation V2 support for unary/binary/broadcsting
2019-09-24 12:52:45 -07:00
Eugene Zhulenev
6e7c76481a
Merge with Eigen head
2019-06-28 11:22:46 -07:00
Eugene Zhulenev
878845cb25
Add block access to TensorReverseOp and make sure that TensorForcedEval uses block access when preferred
2019-06-28 11:13:44 -07:00
Mehdi Goli
7d08fa805a
[SYCL] This PR adds the minimum modifications to the Eigen unsupported module required to run it on devices supporting SYCL.
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* Abstracting the pointer type so that both SYCL memory and pointer can be captured.
* Converting SYCL virtual pointer to SYCL device memory in Eigen evaluator class.
* Binding SYCL placeholder accessor to command group handler by using bind method in Eigen evaluator node.
* Adding SYCL macro for controlling loop unrolling.
* Modifying the TensorDeviceSycl.h and SYCL executor method to adopt the above changes.
2019-06-28 10:08:23 +01:00
Eugene Zhulenev
f2209d06e4
Add block evaluationto CwiseUnaryOp and add PreferBlockAccess enum to all evaluators
2018-08-10 16:53:36 -07:00
Mehdi Goli
b512a9536f
Enabling per device specialisation of packetsize.
2018-08-01 13:39:13 +01:00
Eugene Zhulenev
6913221c43
Add tiled evaluation support to TensorExecutor
2018-07-25 13:51:10 -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
35bae513a0
Converting all parallel for lambda to functor in order to prevent kernel duplication name error; adding tensorConcatinationOp backend for sycl.
2016-12-16 19:46:45 +00:00
Mehdi Goli
0ebe3808ca
Removed the sycl include from Eigen/Core and moved it to Unsupported/Eigen/CXX11/Tensor; added TensorReduction for sycl (full reduction and partial reduction); added TensorReduction test case for sycl (full reduction and partial reduction); fixed the tile size on TensorSyclRun.h based on the device max work group size;
2016-11-04 18:18:19 +00:00
Benoit Steiner
0a9ad6fc72
Worked around Visual Studio compilation errors
2016-10-28 07:54:27 -07:00
Benoit Steiner
f6ac51a054
Made TensorEvalTo compatible with c++0x again.
2016-09-23 16:45:17 -07:00
Luke Iwanski
cb81975714
Partial OpenCL support via SYCL compatible with ComputeCpp CE.
2016-09-19 12:44:13 +01:00
Benoit Steiner
20f7ef2f89
An evalTo expression is only aligned iff both the lhs and the rhs are aligned.
2016-07-12 10:56:42 -07:00
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
4a164d2c46
Fixed the partial evaluation of non vectorizable tensor subexpressions
2016-04-25 10:43:03 -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
e91f255301
Marked variables that's only used in debug mode as such
2016-03-21 10:02:00 -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
bd207ce11e
Added missing EIGEN_DEVICE_FUNC qualifier
2016-01-24 20:36:05 -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
1e911b276c
Misc improvements and optimizations
2015-07-01 13:59:11 -07:00
Benoit Steiner
6620aaa4b3
Silenced a few compilation warnings generated by nvcc
2015-02-10 14:34:42 -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
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
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
