Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

CUB Memory Manager + cuDNN v4 and v5 support #3919

Closed
wants to merge 3 commits into from
Closed
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
3 changes: 3 additions & 0 deletions .travis.yml
Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,9 @@ env:
- WITH_CUDA=true WITH_CMAKE=true WITH_IO=true
- WITH_CUDA=false WITH_CMAKE=false WITH_IO=false
- WITH_CUDA=false WITH_CMAKE=true WITH_IO=false PYTHON_VERSION=3
# Currently there is no way to install cudnn via apt-get. Uncomment when it's available.
# - WITH_CUDA=true WITH_CMAKE=false WITH_IO=true WITH_CUDNN=true
# - WITH_CUDA=true WITH_CMAKE=true WITH_IO=true WITH_CUDNN=true
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

This can go in its own commit.

Copy link
Contributor

@flx42 flx42 May 5, 2016

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

It's actually possible if you have the right deb repo:
http://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1404/x86_64


language: cpp

Expand Down
123 changes: 123 additions & 0 deletions 3rdparty/cub/cub/host/spinlock.cuh
Original file line number Diff line number Diff line change
@@ -0,0 +1,123 @@
/******************************************************************************
* Copyright (c) 2011, Duane Merrill. All rights reserved.
* Copyright (c) 2011-2015, NVIDIA CORPORATION. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of the NVIDIA CORPORATION nor the
* names of its contributors may be used to endorse or promote products
* derived from this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
* ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY
* DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
******************************************************************************/

/**
* \file
* Simple x86/x64 atomic spinlock, portable across MS Windows (cl.exe) & Linux (g++)
*/


#pragma once

#if defined(_WIN32) || defined(_WIN64)
#include <intrin.h>
#include <windows.h>
#undef small // Windows is terrible for polluting macro namespace

/**
* Compiler read/write barrier
*/
#pragma intrinsic(_ReadWriteBarrier)

#endif

#include "../util_namespace.cuh"

/// Optional outer namespace(s)
CUB_NS_PREFIX

/// CUB namespace
namespace cub {


#if defined(_MSC_VER)

// Microsoft VC++
typedef long Spinlock;

#else

// GNU g++
typedef int Spinlock;

/**
* Compiler read/write barrier
*/
__forceinline__ void _ReadWriteBarrier()
{
__sync_synchronize();
}

/**
* Atomic exchange
*/
__forceinline__ long _InterlockedExchange(volatile int * const Target, const int Value)
{
// NOTE: __sync_lock_test_and_set would be an acquire barrier, so we force a full barrier
_ReadWriteBarrier();
return __sync_lock_test_and_set(Target, Value);
}

/**
* Pause instruction to prevent excess processor bus usage
*/
__forceinline__ void YieldProcessor()
{
#ifndef __arm__
asm volatile("pause\n": : :"memory");
#endif // __arm__
}

#endif // defined(_MSC_VER)

/**
* Return when the specified spinlock has been acquired
*/
__forceinline__ void Lock(volatile Spinlock *lock)
{
while (1)
{
if (!_InterlockedExchange(lock, 1)) return;
while (*lock) YieldProcessor();
}
}


/**
* Release the specified spinlock
*/
__forceinline__ void Unlock(volatile Spinlock *lock)
{
_ReadWriteBarrier();
*lock = 0;
}


} // CUB namespace
CUB_NS_POSTFIX // Optional outer namespace(s)