Nathan Luehr
82f13830e6
Fix calls to device functions from host code
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(cherry picked from commit 972cf0c28a
2021-05-12 17:01:45 +00:00
Eugene Zhulenev
1c879eb010
Remove V2 suffix from TensorBlock
2019-12-10 15:40:23 -08:00
Eugene Zhulenev
13c3327f5c
Remove legacy block evaluation support
2019-11-12 10:12:28 -08:00
Eugene Zhulenev
ef9dfee7bd
Tensor block evaluation V2 support for unary/binary/broadcsting
2019-09-24 12:52:45 -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
c144bb355b
Merge with upstream eigen/default
2018-08-27 14:34:07 -07:00
Mehdi Goli
80f1a76dec
removing the noises.
2018-08-16 13:33:24 +01:00
Mehdi Goli
d0b01ebbf6
Reverting the unitended delete from the code.
2018-08-16 13:21:36 +01:00
Mehdi Goli
161dcbae9b
Using PointerType struct and specializing it per device for TensorCustomOp.h
2018-08-16 00:07:02 +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
8c083bfd0e
Properly fixing the PointerType for TensorCustomOp.h. As the output type here should be based on CoeffreturnType not the Scalar type. Therefore, Similar to reduction and evalTo function, it should have its own MakePointer class. In this case, for other device the type is defaulted to CoeffReturnType and no changes is required on users' code. However, in SYCL, on the device, we can recunstruct the device Type.
2018-08-09 13:57:43 +01:00
Mehdi Goli
3055e3a7c2
Creating a pointer type in TensorCustomOp.h
2018-08-08 11:19:02 +01:00
Benoit Steiner
0360c36170
Merged in codeplaysoftware/eigen-upstream-pure/separating_internal_memory_allocation (pull request PR-446)
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Distinguishing between internal memory allocation/deallocation from explicit user memory allocation/deallocation.
2018-08-01 16:13:15 +00:00
Mehdi Goli
b512a9536f
Enabling per device specialisation of packetsize.
2018-08-01 13:39:13 +01:00
Mehdi Goli
d7a8414848
Distinguishing between internal memory allocation/deallocation from explicit user memory allocation/deallocation.
2018-08-01 11:56:30 +01:00
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
Benoit Steiner
73fcaa319f
Gate the sycl specific code under #ifdef sycl
2017-03-31 08:22:25 -07:00
Mehdi Goli
8296b87d7b
Adding sycl backend for TensorCustomOp; fixing the partial lhs modification issue on sycl when the rhs is TensorContraction, reduction or convolution; Fixing the partial modification for memset when sycl backend is used.
2017-02-28 17:16:14 +00:00
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
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
f1f480b116
Added support for user defined custom tensor op.
2015-06-30 15:36:29 -07:00
