aboutsummaryrefslogtreecommitdiffhomepage
path: root/unsupported
Commit message (Collapse)AuthorAge
* Support manually disabling exceptionsHEADmasterGravatar Benjamin Barenblat2021-07-07
| | | | | Rename EIGEN_EXCEPTIONS to EIGEN_USE_EXCEPTIONS, and allow disabling exceptions with -DEIGEN_USE_EXCEPTIONS=0.
* Fix Tensor documentation page.Gravatar Antonio Sanchez2021-07-03
| | | | | | | | | | | | | | | | | | | | | | | | | The extra [TOC] tag is generating a huge floating duplicated table-of-contents, which obscures the majority of the page (see bottom of https://eigen.tuxfamily.org/dox/unsupported/eigen_tensors.html). Remove it. Also, headers do not support markup (see [doxygen bug](https://github.com/doxygen/doxygen/issues/7467)), so backticks like ``` ``` end up generating titles that looks like ``` Constructor <tt>Tensor<double,2></tt> ``` Removing backticks for now. To generate proper formatted headers, we must directly use html instead of markdown, i.e. ``` <h2>Constructor <code>Tensor&lt;double,2&gt;</code></h2> ``` which is ugly. Fixes #2254.
* Don't crash when attempting to shuffle an empty tensor.Gravatar Jonas Harsch2021-07-02
|
* Fix compile issues for gcc 4.8.Gravatar Antonio Sanchez2021-07-01
| | | | | | - Move constructors can only be defaulted as NOEXCEPT if all members have NOEXCEPT move constructors. - gcc 4.8 has some funny parsing bug in `a < b->c`, thinking `b-` is a template parameter.
* Modify tensor argmin/argmax to always return first occurence.Gravatar Antonio Sanchez2021-06-29
| | | | | | | | | As written, depending on multithreading/gpu, the returned index from `argmin`/`argmax` is not currently stable. Here we modify the functors to always keep the first occurence (i.e. if the value is equal to the current min/max, then keep the one with the smallest index). This is otherwise causing unpredictable results in some TF tests.
* Rewrite balancer to avoid overflows.Gravatar Antonio Sanchez2021-06-21
| | | | | | | The previous balancer overflowed for large row/column norms. Modified to prevent that. Fixes #2273.
* changed documentation to make example compileGravatar jenswehner2021-06-16
|
* Fix placement of permanent GPU defines.Gravatar Antonio Sanchez2021-06-15
|
* Fix more enum arithmetic.Gravatar Rasmus Munk Larsen2021-06-15
|
* Add ability to permanently enable HIP/CUDA gpu* defines.Gravatar Antonio Sanchez2021-06-11
| | | | | | When using Eigen for gpu, these simplify portability. If `EIGEN_PERMANENTLY_ENABLE_GPU_HIP_CUDA_DEFINES` is set, then we do not undefine them.
* Allow custom TENSOR_CONTRACTION_DISPATCH macro.Gravatar Antonio Sanchez2021-06-11
| | | | | | Currently TF lite needs to hack around with the Tensor headers in order to customize the contraction dispatch method. Here we add simple `#ifndef` guards to allow them to provide their own dispatch prior to inclusion.
* Removed dead code from GPU float16 unit test.Gravatar Rohit Santhanam2021-05-28
|
* Fix calls to device functions from host codeGravatar Nathan Luehr2021-05-11
|
* Clean up gpu device properties.Gravatar Antonio Sanchez2021-05-07
| | | | | | | | Made a class and singleton to encapsulate initialization and retrieval of device properties. Related to !481, which already changed the API to address a static linkage issue.
* Simplify TensorRandom and remove time-dependence.Gravatar Antonio Sanchez2021-05-04
| | | | | | | | | | | | | | | | | | | | Time-dependence prevents tests from being repeatable. This has long been an issue with debugging the tensor tests. Removing this will allow future tests to be repeatable in the usual way. Also, the recently added macros in !476 are causing headaches across different platforms. For example, checking `_XOPEN_SOURCE` is leading to multiple ambiguous macro errors across Google, and `_DEFAULT_SOURCE`/`_SVID_SOURCE`/`_BSD_SOURCE` are sometimes defined with values, sometimes defined as empty, and sometimes not defined at all when they probably should be. This is leading to multiple build breakages. The simplest approach is to generate a seed via `Eigen::internal::random<uint64_t>()` if on CPU. For GPU, we use a hash based on the current thread ID (since `rand()` isn't supported on GPU). Fixes #1602.
* Fix for issue with static global variables in TensorDeviceGpu.hGravatar Turing Eret2021-04-23
| | | | | | | | | | | | | | m_deviceProperties and m_devicePropInitialized are defined as global statics which will define multiple copies which can cause issues if initializeDeviceProp() is called in one translation unit and then m_deviceProperties is used in a different translation unit. Added inline functions getDeviceProperties() and getDevicePropInitialized() which defines those variables as static locals. As per the C++ standard 7.1.2/4, a static local declared in an inline function always refers to the same object, so this should be safer. Credit to Sun Chenggen for this fix. This fixes issue #1475.
* Check existence of BSD random before use.Gravatar Antonio Sanchez2021-04-22
| | | | | | | | | | | | | `TensorRandom` currently relies on BSD `random()`, which is not always available. The [linux manpage](https://man7.org/linux/man-pages/man3/srandom.3.html) gives the glibc condition: ``` _XOPEN_SOURCE >= 500 || /* Glibc since 2.19: */ _DEFAULT_SOURCE || /* Glibc <= 2.19: */ _SVID_SOURCE || _BSD_SOURCE ``` In particular, this was failing to compile for MinGW via msys2. If not available, we fall back to using `rand()`.
* Modify googlehash use to account for namespace issues.Gravatar Antonio Sanchez2021-04-12
| | | | | | | | | | | | | | | The namespace declaration for googlehash is a configurable macro that can be disabled. In particular, it is disabled within google, causing compile errors since `dense_hash_map`/`sparse_hash_map` are then in the global namespace instead of in `::google`. Here we play a bit of gynastics to allow for both `google::*_hash_map` and `*_hash_map`, while limiting namespace polution. Symbols within the `::google` namespace are imported into `Eigen::google`. We also remove checks based on `_SPARSE_HASH_MAP_H_`, as this is fragile, and instead require `EIGEN_GOOGLEHASH_SUPPORT` to be defined.
* Fix typo in TensorDimensions.hGravatar Rasmus Munk Larsen2021-04-12
|
* Fix for float16 GPU unit test.Gravatar Rohit Santhanam2021-04-12
|
* fixed doxygen for unsupported iterative solver moduleGravatar Jens Wehner2021-04-11
|
* This fixes an issue where the compiler was not choosing the GPU specific ↵Gravatar Rohit Santhanam2021-04-08
| | | | | | | | | | | | | | specialization of ScanLauncher. The issue was discovered when the GPU scan unit test was run and resulted in a segmentation fault. The segmantation fault occurred because the unit test allocated GPU memory and passed a pointer to that memory to the computation that it presumed would execute on the GPU. But because of the issue, the computation was scheduled to execute on the CPU so a situation was constructed where the CPU attempted to access a GPU memory location. The fix expands the GPU specific ScanLauncher specialization to handle cases where vectorization is enabled. Previously, the GPU specialization is chosen only if Vectorization is not used.
* Revert "Revert "Adds EIGEN_CONSTEXPR and EIGEN_NOEXCEPT to rows(), cols(), ↵Gravatar Steve Bronder2021-03-24
| | | | | | innerStride(), outerStride(), and size()"" This reverts commit 5f0b4a4010af4cbf6161a0d1a03a747addc44a5d.
* Fixed output of complex matricesGravatar Jens Wehner2021-03-15
|
* Re-implement move assignments.Gravatar Antonio Sanchez2021-03-10
| | | | | | | | | | | | | | | The original swap approach leads to potential undefined behavior (reading uninitialized memory) and results in unnecessary copying of data for static storage. Here we pass down the move assignment to the underlying storage. Static storage does a one-way copy, dynamic storage does a swap. Modified the tests to no longer read from the moved-from matrix/tensor, since that can lead to UB. Added a test to ensure we do not access uninitialized memory in a move. Fixes: #2119
* Define EIGEN_CPLUSPLUS and replace most __cplusplus checks.Gravatar Antonio Sanchez2021-03-05
| | | | | | | | | | | | | | | The macro `__cplusplus` is not defined correctly in MSVC unless building with the the `/Zc:__cplusplus` flag. Instead, it defines `_MSVC_LANG` to the specified c++ standard version number. Here we introduce `EIGEN_CPLUSPLUS` which will contain the c++ version number both for MSVC and otherwise. This simplifies checks for supported features. Also replaced most instances of standard version checking via `__cplusplus` with the existing `EIGEN_COMP_CXXVER` macro for better clarity. Fixes: #2170
* Revert "Adds EIGEN_CONSTEXPR and EIGEN_NOEXCEPT to rows(), cols(), ↵Gravatar David Tellenbach2021-03-05
| | | | | | | innerStride(), outerStride(), and size()" This reverts commit 6cbb3038ac48cb5fe17eba4dfbf26e3e798041f1 because it breaks clang-10 builds on x86 and aarch64 when C++11 is enabled.
* Adds EIGEN_CONSTEXPR and EIGEN_NOEXCEPT to rows(), cols(), innerStride(), ↵Gravatar Steve Bronder2021-03-04
| | | | outerStride(), and size()
* Add log2 operation to TensorBaseGravatar Eugene Zhulenev2021-03-04
|
* Inherit from `no_assignment_operator` to avoid implicit copy constructor ↵Gravatar Christoph Hertzberg2021-02-27
| | | | | | warnings (cherry picked from commit 9bbb7ea4b54b1f307863be4ed8d105c38cdefe50)
* Fix some enum-enum conversion warningsGravatar Christoph Hertzberg2021-02-27
| | | | (cherry picked from commit 838f3d8ce22a5549ef10c7386fb03040721749a0)
* ReturnByValue is already non-copyableGravatar Christoph Hertzberg2021-02-27
| | | | (cherry picked from commit abbf95045009619f37bd92b45433eedbfcbe41cf)
* Fix double-promotion warningsGravatar Christoph Hertzberg2021-02-27
| | | | (cherry picked from commit c22c103e932e511e96645186831363585a44b7a3)
* Idrs iterative linear solverGravatar Jens Wehner2021-02-27
|
* Don't crash when attempting to slice an empty tensor.Gravatar Rasmus Munk Larsen2021-02-24
|
* Some improvements for kissfft from Martin Reinecke(pocketfft author):Gravatar Guoqiang QI2021-02-24
| | | | | | 1.Only computing about half of the factors and use complex conjugate symmetry for the rest instead of all to save time. 2.All twiddles are calculated in double because that gives the maximum achievable precision when doing float transforms. 3.Reducing all angles to the range 0<angle<pi/4 which gives even more precision.
* Eliminate CMake FindPackageHandleStandardArgs warnings.Gravatar Antonio Sanchez2021-02-24
| | | | | | | | | | | | | | | | | CMake complains that the package name does not match when the case differs, e.g.: ``` CMake Warning (dev) at /usr/share/cmake-3.18/Modules/FindPackageHandleStandardArgs.cmake:273 (message): The package name passed to `find_package_handle_standard_args` (UMFPACK) does not match the name of the calling package (Umfpack). This can lead to problems in calling code that expects `find_package` result variables (e.g., `_FOUND`) to follow a certain pattern. Call Stack (most recent call first): cmake/FindUmfpack.cmake:50 (find_package_handle_standard_args) bench/spbench/CMakeLists.txt:24 (find_package) This warning is for project developers. Use -Wno-dev to suppress it. ``` Here we rename the libraries to match their true cases.
* Add missing adolc isinf/isnan.Gravatar Antonio Sanchez2021-02-19
| | | | | | | Also modified cmake/FindAdolc.cmake to eliminate warnings, and added search paths to match install layout. Fixed: #2157
* Return nan at poles of polygamma, digamma, and zeta if limit is not definedGravatar frgossen2021-02-19
|
* Remove vim specific comments to recognoize correct file-type.Gravatar David Tellenbach2021-02-09
| | | | As discussed in #2143 we remove editor specific comments.
* add specialization of check_sparse_solving() for SuperLU solver, in order to ↵Gravatar Ralf Hannemann-Tamas2021-02-08
| | | | test adjoint and transpose solves
* Include `<cstdint>` in one place, remove custom typedefsGravatar Antonio Sanchez2021-01-26
| | | | | | | | | | | | | | Originating from [this SO issue](https://stackoverflow.com/questions/65901014/how-to-solve-this-all-error-2-in-this-case), some win32 compilers define `__int32` as a `long`, but MinGW defines `std::int32_t` as an `int`, leading to a type conflict. To avoid this, we remove the custom `typedef` definitions for win32. The Tensor module requires C++11 anyways, so we are guaranteed to have included `<cstdint>` already in `Eigen/Core`. Also re-arranged the headers to only include `<cstdint>` in one place to avoid this type of error again.
* fix test of ExtractVolumePatchesOpGravatar Gmc22021-01-25
|
* Remove std::cerr in iterative solver since we don't have iostream.Gravatar David Tellenbach2021-01-21
| | | | This fixes #2123
* fix paddings of TensorVolumePatchOpGravatar Maozhou, Ge2021-01-15
|
* Add CUDA complex sqrt.Gravatar Antonio Sanchez2020-12-22
| | | | | | | | | | | | | | | This is to support scalar `sqrt` of complex numbers `std::complex<T>` on device, requested by Tensorflow folks. Technically `std::complex` is not supported by NVCC on device (though it is by clang), so the default `sqrt(std::complex<T>)` function only works on the host. Here we create an overload to add back the functionality. Also modified the CMake file to add `--relaxed-constexpr` (or equivalent) flag for NVCC to allow calling constexpr functions from device functions, and added support for specifying compute architecture for NVCC (was already available for clang).
* Replace call to FixedDimensions() with a singleton instance ofGravatar Turing Eret2020-12-16
| | | | FixedDimensions.
* TensorStorage with FixedDimensions now has zero instance memory overhead.Gravatar Turing Eret2020-12-14
| | | | | | | Removed m_dimension as instance member of TensorStorage with FixedDimensions and instead use the template parameter. This means that the sizeof a pure fixed-size storage is exactly equal to the data it is storing.
* Remove code checking for CMake < 3.5Gravatar Alexander Grund2020-12-14
| | | | As the CMake version is at least 3.5 the code checking for earlier versions can be removed.
* Fix bad NEON fp16 checkGravatar Antonio Sanchez2020-12-04
|
generated by cgit v1.2.3 (git 2.39.1) at 2024-04-27 20:31:52 +0000