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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2020/01/18 01:00:25 UTC

[GitHub] [incubator-mxnet] ptrendx opened a new pull request #17368: Faster GPU frozen BatchNorm

ptrendx opened a new pull request #17368: Faster GPU frozen BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/17368
 
 
   ## Description ##
   This PR introduces an improved implementation of GPU BatchNorm when `use_global_stats` is `True`
   
   Performance results (using V100 PCIe card, shape of data = `(208, 64, 112, 112)`)
   
   dtype = `float32`
   
   | FWD/BWD | axis | Old implementation time (ms) | New implementation time (ms) | speedup |
   | - | - | - | - | - |
   | FWD | 0 | 3.67 | 2.31 | 1.59x |
   | BWD | 0 | 6.60 | 2.28 | 2.9x |
   | FWD | 1 | 4.92 | 2.21 | 2.23x |
   | BWD | 1 | 8.61 | 2.23 | 3.86x |
   | FWD | 2 | 11.52 | 2.21 | 5.21x |
   | BWD | 2 | 21.36 | 2.74 | 7.8x |
   | FWD | 3 | 1010.55 | 2.24 | 451x |
   | BWD | 3 | 1901.58 | 2.77 | 686.5x |
   
   dtype = `float16`
   
   | FWD/BWD | axis | Old implementation time (ms) | New implementation time (ms) | speedup |
   | - | - | - | - | - |
   | FWD | 0 | 3.1 | 0.92 | 3.37x |
   | BWD | 0 | 6.56 | 1.04 | 6.31x |
   | FWD | 1 | 4.34 | 0.92 | 4.72x |
   | BWD | 1 | 9.21 | 1.34 | 6.87x |
   | FWD | 2 | 10.23 | 0.92 | 11.12x |
   | BWD | 2 | 22.61 | 1.60 | 14.13x |
   | FWD | 3 | 948.1 | 1.01 | 939x |
   | BWD | 3 | 2061.9 | 1.32 | 1562x |
   
   @Kh4L @Jerryzcn FYI
   
   ## Checklist ##
   ### Essentials ###
   Please feel free to remove inapplicable items for your PR.
   - [x] Changes are complete (i.e. I finished coding on this PR)
   - [x] All changes have test coverage:
   - [x] To the best of my knowledge, examples are either not affected by this change, or have been fixed to be compatible with this change

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[GitHub] [incubator-mxnet] ptrendx commented on issue #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
ptrendx commented on issue #17368: Faster GPU frozen BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/17368#issuecomment-608647098
 
 
   Reviving this PR. @apeforest I did change `my_id` to `thread_idx_in_warp`, but other cases of `my_*` variables are actually quite intuitive (and basically mean a private value of a given thing owned by a thread).

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[GitHub] [incubator-mxnet] ptrendx commented on issue #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
ptrendx commented on issue #17368: Faster GPU frozen BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/17368#issuecomment-612156765
 
 
   @apeforest Is this PR good to go now?

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[GitHub] [incubator-mxnet] Kh4L commented on a change in pull request #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
Kh4L commented on a change in pull request #17368: Faster GPU frozen BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/17368#discussion_r368199696
 
 

 ##########
 File path: src/operator/nn/batch_norm.cu
 ##########
 @@ -44,9 +46,30 @@
 
 using namespace mxnet;
 
+namespace {
+
 /*! \brief inverse standard deviation <-> variance */
-#define VARIANCE_TO_INVSTD(__var$,    __eps$)   (1.0/sqrt((__var$) + DType(__eps$)))
-#define INVSTD_TO_VARIANCE(__invstd$, __eps$)   ((1.0 / ((__invstd$) * (__invstd$))) - (__eps$))
+template <typename DType, typename AccReal>
+MSHADOW_XINLINE AccReal variance_to_invstd(DType var, AccReal eps) {
+  return rsqrtf(static_cast<AccReal>(var) + eps);
+}
+
+template <>
+MSHADOW_XINLINE double variance_to_invstd(double var, double eps) {
+  return rsqrt(var + eps);
+}
+
+template <typename AccReal>
+MSHADOW_XINLINE AccReal invstd_to_variance(AccReal invstd, AccReal eps) {
+  return 1.0f / (invstd * invstd) - eps;
 
 Review comment:
   What about:
   ```suggestion
     return static_cast<AccReal>(1.0) / (invstd * invstd) - eps;
   ```

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[GitHub] [incubator-mxnet] ptrendx commented on issue #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
ptrendx commented on issue #17368: Faster GPU frozen BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/17368#issuecomment-609940534
 
 
   @mxnet-bot run ci [unix-gpu]

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[GitHub] [incubator-mxnet] ptrendx commented on a change in pull request #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
ptrendx commented on a change in pull request #17368: Faster GPU frozen BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/17368#discussion_r369155050
 
 

 ##########
 File path: src/operator/nn/batch_norm.cu
 ##########
 @@ -44,9 +46,30 @@
 
 using namespace mxnet;
 
+namespace {
+
 /*! \brief inverse standard deviation <-> variance */
-#define VARIANCE_TO_INVSTD(__var$,    __eps$)   (1.0/sqrt((__var$) + DType(__eps$)))
-#define INVSTD_TO_VARIANCE(__invstd$, __eps$)   ((1.0 / ((__invstd$) * (__invstd$))) - (__eps$))
+template <typename DType, typename AccReal>
+MSHADOW_XINLINE AccReal variance_to_invstd(DType var, AccReal eps) {
+  return rsqrtf(static_cast<AccReal>(var) + eps);
+}
+
+template <>
+MSHADOW_XINLINE double variance_to_invstd(double var, double eps) {
+  return rsqrt(var + eps);
+}
+
+template <typename AccReal>
+MSHADOW_XINLINE AccReal invstd_to_variance(AccReal invstd, AccReal eps) {
+  return 1.0f / (invstd * invstd) - eps;
 
 Review comment:
   Good suggestion.

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[GitHub] [incubator-mxnet] mxnet-bot commented on issue #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
mxnet-bot commented on issue #17368: Faster GPU frozen BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/17368#issuecomment-608701123
 
 
   Jenkins CI successfully triggered : [centos-cpu]

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[GitHub] [incubator-mxnet] Jerryzcn commented on issue #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
Jerryzcn commented on issue #17368: Faster GPU frozen BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/17368#issuecomment-575855289
 
 
   @haojin2 @sxjscience 

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[GitHub] [incubator-mxnet] Jerryzcn commented on issue #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
Jerryzcn commented on issue #17368: Faster GPU frozen BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/17368#issuecomment-585426547
 
 
   Lgtm

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[GitHub] [incubator-mxnet] Jerryzcn commented on issue #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
Jerryzcn commented on issue #17368: Faster GPU frozen BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/17368#issuecomment-585426958
 
 
   BTW, were you able to find the bug that cause master MXNet to fail on mask rcnn?

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[GitHub] [incubator-mxnet] Kh4L commented on issue #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
Kh4L commented on issue #17368: Faster GPU frozen BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/17368#issuecomment-585425575
 
 
   @ptrendx @Jerryzcn sorry for the delay, please find it here:
   
   [joblog.log](https://github.com/apache/incubator-mxnet/files/4195098/joblog.log)
   

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[GitHub] [incubator-mxnet] apeforest commented on a change in pull request #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
apeforest commented on a change in pull request #17368: Faster GPU frozen BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/17368#discussion_r369401124
 
 

 ##########
 File path: src/common/cuda_utils.h
 ##########
 @@ -764,27 +764,86 @@ __device__ inline DType ldg(const DType* address) {
 #endif
 }
 
-template <typename OP, typename T>
+namespace mxnet {
+namespace common {
+/*! \brief common utils for cuda */
+namespace cuda {
+
+static constexpr const int warp_size = 32;
+
+/*! \brief Reduction inside a warp.
+ * Template parameters:
+ * NVALUES - number of values to reduce (defaults to warp_size).
+ * \param value - values to be reduced.
+ * \param redfun - function used to perform reduction.
+ */
+template <int NVALUES = warp_size, typename OP, typename T>
 __device__ inline T warp_reduce(T value, OP redfun) {
-  value = redfun(value, __shfl_down_sync(0xffffffff, value, 16));
-  value = redfun(value, __shfl_down_sync(0xffffffff, value, 8));
-  value = redfun(value, __shfl_down_sync(0xffffffff, value, 4));
-  value = redfun(value, __shfl_down_sync(0xffffffff, value, 2));
-  value = redfun(value, __shfl_down_sync(0xffffffff, value, 1));
+#pragma unroll
+  for (int i = warp_size / 2; i >= 1; i /= 2) {
+    if (NVALUES > i) value = redfun(value, __shfl_down_sync(0xffffffff, value, i));
+  }
   return value;
 }
 
-template <typename OP>
+template <int NValues = warp_size, typename OP>
 __device__ inline mshadow::half::half_t warp_reduce(mshadow::half::half_t value, OP redfun) {
   float v = static_cast<float>(value);
-  v = redfun(v, __shfl_down_sync(0xffffffff, v, 16));
-  v = redfun(v, __shfl_down_sync(0xffffffff, v, 8));
-  v = redfun(v, __shfl_down_sync(0xffffffff, v, 4));
-  v = redfun(v, __shfl_down_sync(0xffffffff, v, 2));
-  v = redfun(v, __shfl_down_sync(0xffffffff, v, 1));
+#pragma unroll
+  for (int i = warp_size / 2; i >= 1; i /= 2) {
+    if (NValues > i) v = redfun(v, __shfl_down_sync(0xffffffff, v, i));
+  }
   return mshadow::half::half_t(v);
 }
 
+/*! \brief Reduction inside a block, requires all threads in a block to participate.
+ *         It uses a 2 step approach:
+ *          - all warps in a block perform intermediate reduction
+ *          - first warp reduces the intermediate results.
+ * Template parameters:
+ * NTHREADS - number of threads in a block.
+ * all_reduce - whether all threads need the result of the reduction. If set to
+ *              true, then all threads return with the same value. If set to
+ *              false, then only thread 0 has the valid result. Defaults to true.
+ * \param value - value from each thread to be reduced
+ * \param redfun - function used to perform reduction
+ */
+template <int NTHREADS, bool all_reduce = true, typename OP, typename T>
+__device__ inline T reduce(const T& value, OP redfun) {
+  static_assert(NTHREADS <= warp_size * warp_size,
+                "Number of threads too large for reduction");
+  __shared__ T scratch[NTHREADS / warp_size];
+  const int my_id = threadIdx.x % warp_size;
 
 Review comment:
   Could we use a more informative names other than my_*?

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[GitHub] [incubator-mxnet] Kh4L commented on issue #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
Kh4L commented on issue #17368: Faster GPU frozen BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/17368#issuecomment-585517849
 
 
   @Jerryzcn no, we didn't really look into it, as we thought that you were taking over this task
   
   There is an open issue here https://github.com/apache/incubator-mxnet/issues/17485

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[GitHub] [incubator-mxnet] mxnet-bot commented on issue #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
mxnet-bot commented on issue #17368: Faster GPU frozen BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/17368#issuecomment-609940621
 
 
   Jenkins CI successfully triggered : [unix-gpu]

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[GitHub] [incubator-mxnet] Jerryzcn commented on issue #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
Jerryzcn commented on issue #17368: Faster GPU frozen BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/17368#issuecomment-575855412
 
 
   Have you tried training MaskRCNN with this?

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[GitHub] [incubator-mxnet] ptrendx commented on issue #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
ptrendx commented on issue #17368: Faster GPU frozen BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/17368#issuecomment-583141547
 
 
   @Kh4L Could you post results of your runs?

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[GitHub] [incubator-mxnet] ptrendx commented on issue #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
ptrendx commented on issue #17368: Faster GPU frozen BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/17368#issuecomment-614286699
 
 
   @apeforest Gentle ping

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[GitHub] [incubator-mxnet] ptrendx commented on issue #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
ptrendx commented on issue #17368: Faster GPU frozen BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/17368#issuecomment-608983596
 
 
   @mxnet-bot run ci [centos-cpu, unix-gpu]

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[GitHub] [incubator-mxnet] ptrendx commented on issue #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
ptrendx commented on issue #17368: Faster GPU frozen BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/17368#issuecomment-575855578
 
 
   @Jerryzcn Not yet.

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[GitHub] [incubator-mxnet] Jerryzcn edited a comment on issue #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
Jerryzcn edited a comment on issue #17368: Faster GPU frozen BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/17368#issuecomment-575855289
 
 
   @haojin2 @sxjscience Could u take a look as well since u both worked on norm layers before.

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[GitHub] [incubator-mxnet] mxnet-bot commented on issue #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
mxnet-bot commented on issue #17368: Faster GPU frozen BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/17368#issuecomment-608983609
 
 
   Jenkins CI successfully triggered : [centos-cpu, unix-gpu]

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[GitHub] [incubator-mxnet] Jerryzcn commented on issue #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
Jerryzcn commented on issue #17368: Faster GPU frozen BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/17368#issuecomment-577471171
 
 
   Could we get some convergence result on fasterrcnn before merging thanks!

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[GitHub] [incubator-mxnet] Kh4L commented on issue #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
Kh4L commented on issue #17368: Faster GPU frozen BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/17368#issuecomment-577475334
 
 
   @Jerryzcn it's in progress, I'll post results here

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[GitHub] [incubator-mxnet] ptrendx commented on issue #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
ptrendx commented on issue #17368: Faster GPU frozen BatchNorm
URL: https://github.com/apache/incubator-mxnet/pull/17368#issuecomment-608701091
 
 
   @mxnet-bot run ci [centos-cpu]

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[GitHub] [incubator-mxnet] mxnet-bot commented on pull request #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
mxnet-bot commented on pull request #17368:
URL: https://github.com/apache/incubator-mxnet/pull/17368#issuecomment-675227485


   Jenkins CI successfully triggered : [miscellaneous, centos-cpu]


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[GitHub] [incubator-mxnet] szha commented on pull request #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
szha commented on pull request #17368:
URL: https://github.com/apache/incubator-mxnet/pull/17368#issuecomment-671670108


   hmm not sure what's happening with the CI.


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[GitHub] [incubator-mxnet] mxnet-bot commented on pull request #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
mxnet-bot commented on pull request #17368:
URL: https://github.com/apache/incubator-mxnet/pull/17368#issuecomment-672126297


   Jenkins CI successfully triggered : [centos-cpu, miscellaneous]


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[GitHub] [incubator-mxnet] szha merged pull request #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
szha merged pull request #17368:
URL: https://github.com/apache/incubator-mxnet/pull/17368


   


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[GitHub] [incubator-mxnet] ptrendx commented on pull request #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
ptrendx commented on pull request #17368:
URL: https://github.com/apache/incubator-mxnet/pull/17368#issuecomment-675227459


   @mxnet-bot run ci [centos-cpu, miscellaneous]


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[GitHub] [incubator-mxnet] ptrendx commented on pull request #17368: Faster GPU frozen BatchNorm

Posted by GitBox <gi...@apache.org>.
ptrendx commented on pull request #17368:
URL: https://github.com/apache/incubator-mxnet/pull/17368#issuecomment-672126249


   @mxnet-bot run ci [centos-cpu, miscellaneous]


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