Benoit Steiner
01c55d37e6
Deleted unused variable.
2016-01-11 15:53:19 -08:00
Benoit Steiner
0504c56ea7
Silenced a nvcc compilation warning
2016-01-11 15:49:21 -08:00
Benoit Steiner
b523771a24
Silenced several compilation warnings triggered by nvcc.
2016-01-11 14:25:43 -08:00
Benoit Steiner
2c3b13eded
Merged in jeremy_barnes/eigen/shader-model-3.0 (pull request PR-152)
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Alternative way of forcing instantiation of device kernels without causing warnings or requiring device to device kernel invocations.
2016-01-11 11:43:37 -08:00
Benoit Steiner
2ccb1c8634
Fixed a bug in the dispatch of optimized reduction kernels.
2016-01-11 10:36:37 -08:00
Benoit Steiner
780623261e
Re-enabled the optimized reduction CUDA code.
2016-01-11 09:07:14 -08:00
Jeremy Barnes
91678f489a
Cleaned up double-defined macro from last commit
2016-01-10 22:44:45 -05:00
Jeremy Barnes
403a7cb6c3
Alternative way of forcing instantiation of device kernels without
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causing warnings or requiring device to device kernel invocations.
This allows Tensorflow to work on SM 3.0 (ie, Amazon EC2) machines.
2016-01-10 22:39:13 -05:00
Benoit Steiner
e76904af1b
Simplified the dispatch code.
2016-01-08 16:50:57 -08:00
Benoit Steiner
d726e864ac
Made it possible to use array of size 0 on CUDA devices
2016-01-08 16:38:14 -08:00
Benoit Steiner
3358dfd5dd
Reworked the dispatch of optimized cuda reduction kernels to workaround a nvcc bug that prevented the code from compiling in optimized mode in some cases
2016-01-08 16:28:53 -08:00
Benoit Steiner
53749ff415
Prevent nvcc from miscompiling the cuda metakernel. Unfortunately this reintroduces some compulation warnings but it's much better than having to deal with random assertion failures.
2016-01-08 13:53:40 -08:00
Benoit Steiner
6639b7d6e8
Removed a couple of partial specialization that confuse nvcc and result in errors such as this:
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error: more than one partial specialization matches the template argument list of class "Eigen::internal::get<3, Eigen::internal::numeric_list<std::size_t, 1UL, 1UL, 1UL, 1UL>>"
"Eigen::internal::get<n, Eigen::internal::numeric_list<T, a, as...>>"
"Eigen::internal::get<n, Eigen::internal::numeric_list<T, as...>>"
2016-01-07 18:45:19 -08:00
Benoit Steiner
0cb2ca5de2
Fixed a typo.
2016-01-06 18:50:28 -08:00
Benoit Steiner
213459d818
Optimized the performance of broadcasting of scalars.
2016-01-06 18:47:45 -08:00
Benoit Steiner
cfff40b1d4
Improved the performance of reductions on CUDA devices
2016-01-04 17:25:00 -08:00
Benoit Steiner
515dee0baf
Added a 'divup' util to compute the floor of the quotient of two integers
2016-01-04 16:29:26 -08:00
Gael Guennebaud
8b0d1eb0f7
Fix numerous doxygen shortcomings, and workaround some clang -Wdocumentation warnings
2016-01-01 21:45:06 +01:00
Gael Guennebaud
978c379ed7
Add missing ctor from uint
2015-12-30 12:52:38 +01:00
Benoit Steiner
bdcbc66a5c
Don't attempt to vectorize mean reductions of integers since we can't use
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SSE or AVX instructions to divide 2 integers.
2015-12-22 17:51:55 -08:00
Benoit Steiner
a1e08fb2a5
Optimized the configuration of the outer reduction cuda kernel
2015-12-22 16:30:10 -08:00
Benoit Steiner
9c7d96697b
Added missing define
2015-12-22 16:11:07 -08:00
Benoit Steiner
e7e6d01810
Made sure the optimized gpu reduction code is actually compiled.
2015-12-22 15:07:33 -08:00
Benoit Steiner
b5d2078c4a
Optimized outer reduction on GPUs.
2015-12-22 15:06:17 -08:00
Benoit Steiner
1c3e78319d
Added missing const
2015-12-21 15:05:01 -08:00
Benoit Steiner
1b82969559
Add alignment requirement for local buffer used by the slicing op.
2015-12-18 14:36:35 -08:00
Benoit Steiner
75a7fa1919
Doubled the speed of full reductions on GPUs.
2015-12-18 14:07:31 -08:00
Benoit Steiner
8dd17cbe80
Fixed a clang compilation warning triggered by the use of arrays of size 0.
2015-12-17 14:00:33 -08:00
Benoit Steiner
4aac55f684
Silenced some compilation warnings triggered by nvcc
2015-12-17 13:39:01 -08:00
Benoit Steiner
40e6250fc3
Made it possible to run tensor chipping operations on CUDA devices
2015-12-17 13:29:08 -08:00
Benoit Steiner
2ca55a3ae4
Fixed some compilation error triggered by the tensor code with msvc 2008
2015-12-16 20:45:58 -08:00
Gael Guennebaud
35d8725c73
Disable AutoDiffScalar generic copy ctor for non compatible scalar types (fix ambiguous template instantiation)
2015-12-16 10:14:24 +01:00
Christoph Hertzberg
92655e7215
bug #1136 : Protect isinf for Intel compilers. Also don't distinguish GCC from ICC and don't rely on EIGEN_NOT_A_MACRO, which might not be defined when including this.
2015-12-15 11:34:52 +01:00
Benoit Steiner
17352e2792
Made the entire TensorFixedSize api callable from a CUDA kernel.
2015-12-14 15:20:31 -08:00
Benoit Steiner
75e19fc7ca
Marked the tensor constructors as EIGEN_DEVICE_FUNC: This makes it possible to call them from a CUDA kernel.
2015-12-14 15:12:55 -08:00
Gael Guennebaud
ca39b1546e
Merged in ebrevdo/eigen (pull request PR-148)
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Add special functions to eigen: lgamma, erf, erfc.
2015-12-11 11:52:09 +01:00
Benoit Steiner
6af52a1227
Fixed a typo in the constructor of tensors of rank 5.
2015-12-10 23:31:12 -08:00
Benoit Steiner
2d8f2e4042
Made 2 tests compile without cxx11.
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HdG: --
2015-12-10 23:20:04 -08:00
Benoit Steiner
8d28a161b2
Use the proper accessor to refer to the value of a scalar tensor
2015-12-10 22:53:56 -08:00
Benoit Steiner
8e00ea9a92
Fixed the coefficient accessors use for the 2d and 3d case when compiling without cxx11 support.
2015-12-10 22:45:10 -08:00
Benoit Steiner
9db8316c93
Updated the cxx11_tensor_custom_op to not require cxx11.
2015-12-10 20:53:44 -08:00
Benoit Steiner
4e324ca6ae
Updated the cxx11_tensor_assign test to make it compile without support for cxx11
2015-12-10 20:47:25 -08:00
Eugene Brevdo
fa4f933c0f
Add special functions to Eigen: lgamma, erf, erfc.
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Includes CUDA support and unit tests.
2015-12-07 15:24:49 -08:00
Benoit Steiner
7dfe75f445
Fixed compilation warnings
2015-12-07 08:12:30 -08:00
Gael Guennebaud
ad3d68400e
Add matrix-free solver example
2015-12-07 12:33:38 +01:00
Gael Guennebaud
b37036afce
Implement wrapper for matrix-free iterative solvers
2015-12-07 12:23:22 +01:00
Benoit Steiner
f4ca8ad917
Use signed integers instead of unsigned ones more consistently in the codebase.
2015-12-04 18:14:16 -08:00
Benoit Steiner
490d26e4c1
Use integers instead of std::size_t to encode the number of dimensions in the Tensor class since most of the code currently already use integers.
2015-12-04 10:15:11 -08:00
Benoit Steiner
d20efc974d
Made it possible to use the sigmoid functor within a CUDA kernel.
2015-12-04 09:38:15 -08:00
Benoit Steiner
029052d276
Deleted redundant code
2015-12-03 17:08:47 -08:00
