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Fix Horovod pyarrow IndexError: list index out of range #3255

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merged 5 commits into from
Nov 4, 2021

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@WeichenXu123 WeichenXu123 commented Nov 2, 2021

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  • Did you update the CHANGELOG, if this change affects users?

Description

Fixes #2193 .
Fix Horovod pyarrow IndexError: list index out of range

Review process to land

  1. All tests and other checks must succeed.
  2. At least one member of the technical steering committee must review and approve.
  3. If any member of the technical steering committee requests changes, they must be addressed.

Signed-off-by: Weichen Xu <weichen.xu@databricks.com>
Signed-off-by: Weichen Xu <weichen.xu@databricks.com>
@WeichenXu123
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This is a similar fix with the approach in spark dataset converter:

We get all file URL list after saving spark dataframe, and waiting for some time until all the files becoming available to read.

Signed-off-by: Weichen Xu <weichen.xu@databricks.com>
Signed-off-by: Weichen Xu <weichen.xu@databricks.com>
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Unit Test Results

     86 files   -    298       86 suites   - 298   55m 48s ⏱️ - 3h 53m 4s
   658 tests  -      47     489 ✔️  -      78  168 💤 +     30  1 +1 
1 911 runs   - 6 539  1 311 ✔️  - 4 422  599 💤  - 2 118  1 +1 

For more details on these failures, see this check.

Results for commit de0b894. ± Comparison against base commit 660f7ff.

This pull request removes 47 tests.
test.integration.test_elastic_spark_tensorflow2.ElasticSparkTensorflow2Tests ‑ test_auto_scale_down_by_discovery
test.integration.test_elastic_spark_tensorflow2.ElasticSparkTensorflow2Tests ‑ test_auto_scale_down_by_exception
test.integration.test_elastic_spark_tensorflow2.ElasticSparkTensorflow2Tests ‑ test_auto_scale_no_spark_black_list
test.integration.test_elastic_spark_tensorflow2.ElasticSparkTensorflow2Tests ‑ test_auto_scale_spark_blacklist_no_executor_reuse
test.integration.test_elastic_spark_tensorflow2.ElasticSparkTensorflow2Tests ‑ test_auto_scale_spark_blacklist_no_executor_reuse_in_app
test.integration.test_elastic_spark_tensorflow2.ElasticSparkTensorflow2Tests ‑ test_auto_scale_spark_blacklist_no_executor_reuse_same_task
test.integration.test_elastic_spark_tensorflow2.ElasticSparkTensorflow2Tests ‑ test_auto_scale_spark_blacklist_no_node_reuse
test.integration.test_elastic_spark_tensorflow2.ElasticSparkTensorflow2Tests ‑ test_auto_scale_spark_blacklist_no_node_reuse_in_app
test.integration.test_elastic_spark_tensorflow2.ElasticSparkTensorflow2Tests ‑ test_auto_scale_up
test.integration.test_elastic_spark_tensorflow2.ElasticSparkTensorflow2Tests ‑ test_fault_tolerance_all_hosts_lost
…
This pull request skips 36 tests.
test.integration.test_spark.SparkTests ‑ test_happy_run_with_mpi
test.integration.test_spark.SparkTests ‑ test_timeout_with_mpi
test.integration.test_static_run.StaticRunTests ‑ test_run_failure_mpi_local_cmd
test.integration.test_static_run.StaticRunTests ‑ test_run_failure_mpi_local_func
test.integration.test_static_run.StaticRunTests ‑ test_run_failure_mpi_mixed_cmd
test.integration.test_static_run.StaticRunTests ‑ test_run_failure_mpi_mixed_func
test.integration.test_static_run.StaticRunTests ‑ test_run_failure_mpi_remote_cmd
test.integration.test_static_run.StaticRunTests ‑ test_run_failure_mpi_remote_func
test.integration.test_static_run.StaticRunTests ‑ test_run_success_mpi_local_cmd
test.integration.test_static_run.StaticRunTests ‑ test_run_success_mpi_local_func
…

♻️ This comment has been updated with latest results.

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github-actions bot commented Nov 2, 2021

Unit Test Results (with flaky tests)

     92 files   -    322       92 suites   - 322   1h 8m 14s ⏱️ - 3h 57m 38s
   658 tests  -      47     489 ✔️  -      78  168 💤 +     30  1 +1 
2 091 runs   - 7 013  1 477 ✔️  - 4 678  613 💤  - 2 336  1 +1 

For more details on these failures, see this check.

Results for commit de0b894. ± Comparison against base commit 660f7ff.

This pull request removes 47 tests.
test.integration.test_elastic_spark_tensorflow2.ElasticSparkTensorflow2Tests ‑ test_auto_scale_down_by_discovery
test.integration.test_elastic_spark_tensorflow2.ElasticSparkTensorflow2Tests ‑ test_auto_scale_down_by_exception
test.integration.test_elastic_spark_tensorflow2.ElasticSparkTensorflow2Tests ‑ test_auto_scale_no_spark_black_list
test.integration.test_elastic_spark_tensorflow2.ElasticSparkTensorflow2Tests ‑ test_auto_scale_spark_blacklist_no_executor_reuse
test.integration.test_elastic_spark_tensorflow2.ElasticSparkTensorflow2Tests ‑ test_auto_scale_spark_blacklist_no_executor_reuse_in_app
test.integration.test_elastic_spark_tensorflow2.ElasticSparkTensorflow2Tests ‑ test_auto_scale_spark_blacklist_no_executor_reuse_same_task
test.integration.test_elastic_spark_tensorflow2.ElasticSparkTensorflow2Tests ‑ test_auto_scale_spark_blacklist_no_node_reuse
test.integration.test_elastic_spark_tensorflow2.ElasticSparkTensorflow2Tests ‑ test_auto_scale_spark_blacklist_no_node_reuse_in_app
test.integration.test_elastic_spark_tensorflow2.ElasticSparkTensorflow2Tests ‑ test_auto_scale_up
test.integration.test_elastic_spark_tensorflow2.ElasticSparkTensorflow2Tests ‑ test_fault_tolerance_all_hosts_lost
…
This pull request skips 36 tests.
test.integration.test_spark.SparkTests ‑ test_happy_run_with_mpi
test.integration.test_spark.SparkTests ‑ test_timeout_with_mpi
test.integration.test_static_run.StaticRunTests ‑ test_run_failure_mpi_local_cmd
test.integration.test_static_run.StaticRunTests ‑ test_run_failure_mpi_local_func
test.integration.test_static_run.StaticRunTests ‑ test_run_failure_mpi_mixed_cmd
test.integration.test_static_run.StaticRunTests ‑ test_run_failure_mpi_mixed_func
test.integration.test_static_run.StaticRunTests ‑ test_run_failure_mpi_remote_cmd
test.integration.test_static_run.StaticRunTests ‑ test_run_failure_mpi_remote_func
test.integration.test_static_run.StaticRunTests ‑ test_run_success_mpi_local_cmd
test.integration.test_static_run.StaticRunTests ‑ test_run_success_mpi_local_func
…

♻️ This comment has been updated with latest results.

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@tgaddair Could you take a look ?

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Nice job tracking this down! Couple minor comments.

time.sleep(0.1)
return False

pool = ThreadPool(64)
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64 seems like a lot in some cases, maybe this can be min(len(url_list), 64)?

@@ -539,6 +541,40 @@ def _train_val_split(df, validation):
return train_df, val_df, validation_ratio


_FILE_AVAILABILITY_WAIT_TIMEOUT_SECS = 30
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Can we make this configurable, possibly with an env variable?

Signed-off-by: Weichen Xu <weichen.xu@databricks.com>
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LGTM! Thanks for the fix.

@tgaddair tgaddair merged commit 3efc229 into horovod:master Nov 4, 2021
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EnricoMi commented Nov 8, 2021

@tgaddair this PR broke master: https://github.com/horovod/horovod/runs/4106828558?check_suite_focus=true#step:163:67
which made @romerojosh disable all failing tests in #3259

This should not have been merged into master. Can we revert this? Or have #3263 work around the issue and then reopen this PR for discussion?

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EnricoMi commented Nov 8, 2021

@WeichenXu123 I doubt that this returns the file urls where train_df and val_df have been written to:

            saved_file_list = list(train_df._jdf.inputFiles())
            if val_df:
                saved_file_list += list(val_df._jdf.inputFiles())

            _wait_file_available(store, saved_file_list)

This retrieves the inputFiles of train_df and val_df, where "saved_file" sounds more like you are looking for the output file. I suspect train_df to be immutable w.r.t. train_df.write.parquet in such a way that train_df does not know which file it has been written to through the DataFrameWriter.

This is why _wait_file_available(store, saved_file_list) fails because saved_file_list is an empty list.

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EnricoMi commented Nov 8, 2021

Looks like _wait_file_available has been tested but DataFrame._jdf.inputFiles() hasn't.

tgaddair added a commit that referenced this pull request Nov 8, 2021
This reverts commit 3efc229.

Signed-off-by: Travis Addair <tgaddair@gmail.com>
tgaddair added a commit that referenced this pull request Nov 8, 2021
…" (#3265)

This reverts commit 3efc229.

Signed-off-by: Travis Addair <tgaddair@gmail.com>
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Oh sorry, seems my fault. I will fix it in my follow-up PR.
CC @tgaddair seemingly you merged my PR too quickly while I haven't carefully checking CI status for that PR.

weihanmines pushed a commit to weihanmines/horovod that referenced this pull request Dec 11, 2021
Signed-off-by: Weichen Xu <weichen.xu@databricks.com>
Signed-off-by: weihanmines <weihan13@amd.com>
weihanmines pushed a commit to weihanmines/horovod that referenced this pull request Dec 11, 2021
…vod#3255)" (horovod#3265)

This reverts commit 3efc229.

Signed-off-by: Travis Addair <tgaddair@gmail.com>
Signed-off-by: weihanmines <weihan13@amd.com>
weihanmines pushed a commit to weihanmines/horovod that referenced this pull request Dec 11, 2021
- Fixes issue when start_epoch != 0

Signed-off-by: Dinesh Ramasamy <89654805+iitmdinesh@users.noreply.github.com>
Signed-off-by: weihanmines <weihan13@amd.com>

fix torch op handles lazy release which may cause oom in elastic scenario (horovod#3110)

* fix torch op handles lazy release which may cause oom in elastic scenario

Signed-off-by: guoze.lin <guozelin@tencent.com>

* Update mpi_ops.py

Co-authored-by: guoze.lin <guozelin@tencent.com>
Co-authored-by: Travis Addair <tgaddair@gmail.com>
Signed-off-by: weihanmines <weihan13@amd.com>

Added support for extraction of storage options from url. (horovod#3137)

* Added support for extraction of storage options from url.

Signed-off-by: Manjur Ansari <maansar@microsoft.com>

* mock fsspec.utils

Signed-off-by: Manjur Ansari <maansar@microsoft.com>

* Added missing comma

Co-authored-by: Travis Addair <tgaddair@gmail.com>
Signed-off-by: weihanmines <weihan13@amd.com>

Make RayExecutor use the current placement group if one exists (horovod#3134)

Signed-off-by: weihanmines <weihan13@amd.com>

Fix the mapping btw pyspark and numpy (horovod#3146)

Signed-off-by: Haoyang Chen <haoyang@uber.com>
Signed-off-by: weihanmines <weihan13@amd.com>

Add tests for Keras callbacks: MetricAverageCallback, LearningRateScheduleCallback and LearningRateWarmupCallback (horovod#3102)

There were no tests for MetricAverageCallback, LearningRateScheduleCallback and LearningRateWarmupCallback from hvd as noted in horovod#2659. This PR adds testing to verify the callback works.

Signed-off-by: Moses Lee <14leeyuchieh@gmail.com>
Co-authored-by: Moses Lee <molee@molee-ld4.linkedin.biz>
Signed-off-by: weihanmines <weihan13@amd.com>

Split gpu tests in head and non-head versions (horovod#3155)

Signed-off-by: Enrico Minack <github@enrico.minack.dev>
Signed-off-by: weihanmines <weihan13@amd.com>

Allow caller to customize the Tensorboard callback (horovod#3153)

* Keras Estimator: Allow user to pass in TensorBoard callback

Signed-off-by: Rich Porter <rich.porter@uber.com>

* Remove callback from other processes on the same machine

Signed-off-by: Rich Porter <rich.porter@uber.com>

* Allow other ranks to profile as well.  Doesn't seem to conflict

Signed-off-by: Rich Porter <rich.porter@uber.com>
Signed-off-by: weihanmines <weihan13@amd.com>

test_torch.py: add explicit join() for testing duplicated name errors (horovod#3159)

For torch nightly >=10.0, we need to add an explict join() call to avoid
hanging when testing duplicated name errors.

Signed-off-by: Chongxiao Cao <chongxiaoc@uber.com>
Signed-off-by: weihanmines <weihan13@amd.com>

Disable TF2.6.0 XLA support on OSX (horovod#3133)

Related to issue#3132

Signed-off-by: Chongxiao Cao <chongxiaoc@uber.com>
Signed-off-by: weihanmines <weihan13@amd.com>

Fix linking _pywrap_tensorflow_internal.so and re-enable XLA on macOS  (horovod#3173)

Signed-off-by: weihanmines <weihan13@amd.com>

Spark/Lightning: fix the usage of checkpoint callback (horovod#3186)

Signed-off-by: Chongxiao Cao <chongxiaoc@uber.com>
Signed-off-by: weihanmines <weihan13@amd.com>

Fix Cometlogger experiment key lost issue (horovod#3184)

* test

Signed-off-by: Peng Zhang <pengz@uber.com>

* test

Signed-off-by: Peng Zhang <pengz@uber.com>

* fix_logger

Signed-off-by: Peng Zhang <pengz@uber.com>

* fix_logger

Signed-off-by: Peng Zhang <pengz@uber.com>

* recreate_loger

Signed-off-by: Peng Zhang <pengz@uber.com>

* fix_var

Signed-off-by: Peng Zhang <pengz@uber.com>

* test

Signed-off-by: Peng Zhang <pengz@uber.com>

* test

Signed-off-by: Peng Zhang <pengz@uber.com>
Signed-off-by: weihanmines <weihan13@amd.com>

Updated torch c++ to use new aten api (horovod#3175)

Signed-off-by: weihanmines <weihan13@amd.com>

Spark/Keras: remove bare Keras support (horovod#3191)

Signed-off-by: weihanmines <weihan13@amd.com>

Make fork PRs publish test change stats (horovod#3185)

Signed-off-by: Enrico Minack <github@enrico.minack.dev>
Signed-off-by: weihanmines <weihan13@amd.com>

Support for nccl on cuda 11.4 (horovod#3182)

Signed-off-by: Evan Brossard <evanb@maka-ars.com>
Signed-off-by: weihanmines <weihan13@amd.com>

Fix MPICH support (horovod#3148)

* fix MPICH implementation
* enable tests for MPICH and Intel MPI

Signed-off-by: Jinzhe Zeng <jinzhe.zeng@rutgers.edu>
Signed-off-by: weihanmines <weihan13@amd.com>

Increase build timeout to 40m on Buildkite (horovod#3192)

Signed-off-by: Enrico Minack <github@enrico.minack.dev>
Signed-off-by: weihanmines <weihan13@amd.com>

Change CMake syntax to be compatible with old versions of CMake (horovod#3196)

Signed-off-by: Max H. Gerlach <git@maxgerlach.de>
Signed-off-by: weihanmines <weihan13@amd.com>

Reinit every torch test (horovod#3194)

Signed-off-by: weihanmines <weihan13@amd.com>

Add barrier call to torch module to support easy synchronization for process sets (horovod#3139)

* Added barrier call to torch module

Signed-off-by: TJ <tix@uber.com>
Signed-off-by: weihanmines <weihan13@amd.com>

Bump version to 0.23.0 (horovod#3200)

Signed-off-by: Travis Addair <tgaddair@gmail.com>

Co-authored-by: Max H. Gerlach <git@maxgerlach.de>
Signed-off-by: weihanmines <weihan13@amd.com>

Increase Parallel PyTest timeout to 10m (horovod#3198)

* Increase MPI and Gloo Parallel PyTest timeout to 10m

Signed-off-by: Enrico Minack <github@enrico.minack.dev>
Signed-off-by: weihanmines <weihan13@amd.com>

Spark/Lightning: don't overwrite model with checkpoint by default (horovod#3201)

Lightning estimator saves model by default if there is no specified
checkpoint callback. However, model is not overwritten with checkpoint
file in that case.

Signed-off-by: Chongxiao Cao <chongxiaoc@uber.com>
Signed-off-by: weihanmines <weihan13@amd.com>

Spark/Lightning: fix checkpoint callback dirpath typo (horovod#3204)

Signed-off-by: Chongxiao Cao <chongxiaoc@uber.com>
Signed-off-by: weihanmines <weihan13@amd.com>

Rework events in CI workflows (horovod#3202)

Signed-off-by: Enrico Minack <github@enrico.minack.dev>
Signed-off-by: weihanmines <weihan13@amd.com>

Allow for concurrent schedule and master build, document concurrency (horovod#3206)

Signed-off-by: Enrico Minack <github@enrico.minack.dev>
Signed-off-by: weihanmines <weihan13@amd.com>

Ray: fix RayExecutor to fail when num_workers=0 and num_hosts=None (horovod#3210)

Signed-off-by: Travis Addair <tgaddair@gmail.com>
Signed-off-by: weihanmines <weihan13@amd.com>

add_history_in_lightning_estimator (horovod#3214)

Signed-off-by: Peng Zhang <pengz@uber.com>
Signed-off-by: weihanmines <weihan13@amd.com>

Allow buildkite building merge commits on forks (horovod#3215)

Signed-off-by: Enrico Minack <github@enrico.minack.dev>
Signed-off-by: weihanmines <weihan13@amd.com>

Fix json output in ci-results.yaml (horovod#3217)

Signed-off-by: weihanmines <weihan13@amd.com>

Spark/Lightning: fix history metrics for estimator serialization (horovod#3216)

Save metrics inside the checkpoint dict , which will be load with map_location=torch.device('cpu')

Signed-off-by: Peng Zhang <pengz@uber.com>
Signed-off-by: weihanmines <weihan13@amd.com>

patch python source files on macCI (horovod#3220)

* patch python source files on macCI

* Trigger build and test CI

Signed-off-by: TJ <tix@uber.com>

Co-authored-by: Enrico Minack <github@enrico.minack.dev>
Signed-off-by: weihanmines <weihan13@amd.com>

Updated examples of torch and tf to include mixed precision training (horovod#3222)

* Added mixed precision example for pytorch

* added mixed precision for keras

Signed-off-by: TJ <tix@uber.com>
Signed-off-by: weihanmines <weihan13@amd.com>

Job buildkite-heads accesses ci-workflow outputs, add it to the needs (horovod#3225)

Signed-off-by: Enrico Minack <github@enrico.minack.dev>
Signed-off-by: weihanmines <weihan13@amd.com>

Fixes race condition for ray scale up down tests (horovod#3205)

Ensure that at least one host from the previous set of hosts have
been registered.
Without this, the discovery script will "discover" the new
set of hosts before the current set can register.
This would result in a race condition.
Consider a discovery schedule:
```
discovery_schedule = [
    (10, ['host-1:2']),
    (30, ['host-1:2', 'host-2:1', 'host-3:1']),
    (None, ['host-2:1']),
]
```
The initial set is: ['host-1:2']. Before this is registered in the driver, the discovery script
discovers the set: ['host-1:2', 'host-2:1', 'host-3:1'], and adds ['host-2:1', 'host-3:1'].
However, since ['host-1:2'] has not registered, there is no coordinator to notify the workers.
When host-1 and host-3 are removed, driver.resume will call _activate_workers, which will update the host assignments.
It has a check to see if the intersection between the previous and current set of hosts. It finds that the previous
set is ['host-1:2'], and the current set is ['host-2:1'], since there was no notification for the added and removed
hosts.
This ensures that the previous set of hosts can register before the current set is discovered.

Signed-off-by: Abin Shahab <ashahab@linkedin.com>
Signed-off-by: weihanmines <weihan13@amd.com>

Removed a case of the default mutable argument pitfall (horovod#3227)

Signed-off-by: Naelson Douglas <naelson17@gmail.com>
Signed-off-by: weihanmines <weihan13@amd.com>

Updates to TSC members (horovod#3234)

Signed-off-by: Travis Addair <tgaddair@gmail.com>
Signed-off-by: weihanmines <weihan13@amd.com>

Add in-place broadcast for TensorFlow (horovod#3128)

* Update comment in FindTensorflow.cmake

Signed-off-by: Max H. Gerlach <git@maxgerlach.de>

* Add in-place broadcast_() and broadcast_variables() for TF

Signed-off-by: Max H. Gerlach <git@maxgerlach.de>

* Include source files from TF in build to avoid missing symbol errors

Signed-off-by: Max H. Gerlach <git@maxgerlach.de>

* Limit build and test to TF 2.6+

Signed-off-by: Max H. Gerlach <git@maxgerlach.de>

* Remove source files copied from TensorFlow

The missing symbols are resolved by linking against _pywrap_tensorflow_internal.so,
which was introduced to Horovod with PR horovod#3053.

Signed-off-by: Max H. Gerlach <git@maxgerlach.de>

* Fix possible type attribute values for HorovodBroadcastInplace

Signed-off-by: Max H. Gerlach <git@maxgerlach.de>

* Add reference variables to test

Signed-off-by: Max H. Gerlach <git@maxgerlach.de>

* Update comments, doc strings, changelog

Signed-off-by: Max H. Gerlach <git@maxgerlach.de>
Signed-off-by: weihanmines <weihan13@amd.com>

[Elastic Horovod] Fix the bug for ElasticSampler and hvd.elastic.state (horovod#3144)

Co-authored-by: gethinhu <gethinhu@tencent.com>
Signed-off-by: weihanmines <weihan13@amd.com>

a better way to handle nccl error under elastic scenario (horovod#3112)

Signed-off-by: guoze.lin <guozelin@tencent.com>
Signed-off-by: weihanmines <weihan13@amd.com>

check torch version for mixed precision example (horovod#3238)

Signed-off-by: weihanmines <weihan13@amd.com>

Lightning: set limit_train_batches and limit_val_batches (horovod#3237)

Tell Lightning trainer that how many batches a single epoch needs.

Signed-off-by: Chongxiao Cao <chongxiaoc@uber.com>
Signed-off-by: weihanmines <weihan13@amd.com>

Spark/Lightning: reduce memory footprint of async dataloader (horovod#3239)

Limit async data loader queue size.

Signed-off-by: Peng Zhang <pengz@uber.com>
Signed-off-by: weihanmines <weihan13@amd.com>

Change default fusion threshold from 64MB to 128MB in docs (horovod#3241)

Signed-off-by: weihanmines <weihan13@amd.com>

fix the example of pytorch_lightning_mnist.py (horovod#3245)

- remove unused arg parameters
- fix model test issue on GPU

Signed-off-by: Chongxiao Cao <chongxiaoc@uber.com>
Signed-off-by: weihanmines <weihan13@amd.com>

CI: use latest pytorch_lightning with torchhead (horovod#3243)

Signed-off-by: weihanmines <weihan13@amd.com>

test_gradient_aggregation with real gradient instead of a constant (horovod#3176)

This fixes issue horovod#2664 by performing gradient aggregation with a real gradient instead of a constant.
PR: horovod#2647 shifts the gradient allreduce when the gradient is computed (both through the DistributedOptimizer or through the DistributedGradientTape). Which means that this unittest, by design in TF2.4, doesn't call allreduce in _aggregate_gradients().

Since this unittest provide a gradient as constant (without effectively computing it), the gradient will never be allreduced.
The current change ensure that instead of a constant a real gradient is computed from a loss-function.

Note: The current loss-function intentionally evaluates to zero. A future PR should convert it to a real loss function(e.g. MeanSquaredError) and compute gradients from that to test gradient aggregation.
Signed-off-by: Abin Shahab <ashahab@linkedin.com>
Signed-off-by: weihanmines <weihan13@amd.com>

Remove MetricAverageCallback warning on tf >= 2.5 (horovod#3050)

Signed-off-by: Henrique Mendonça <henrique.mendonca@cscs.ch>
Signed-off-by: weihanmines <weihan13@amd.com>

Fix Horovod pyarrow IndexError: list index out of range (horovod#3255)

Signed-off-by: Weichen Xu <weichen.xu@databricks.com>
Signed-off-by: weihanmines <weihan13@amd.com>

Fixing up current CI test failures.  (horovod#3259)

Signed-off-by: Josh Romero <joshr@nvidia.com>
Co-authored-by: Travis Addair <tgaddair@gmail.com>
Co-authored-by: Enrico Minack <github@enrico.minack.dev>
Signed-off-by: weihanmines <weihan13@amd.com>

Revert "Fix Horovod pyarrow IndexError: list index out of range (horovod#3255)" (horovod#3265)

This reverts commit 3efc229.

Signed-off-by: Travis Addair <tgaddair@gmail.com>
Signed-off-by: weihanmines <weihan13@amd.com>

Debugging for lightning data loader and fix for simple profiler. (horovod#3253)

add debugging flag for lightning data loader , make async data loader queue size configurable

Signed-off-by: weihanmines <weihan13@amd.com>

Call process_set._setup in init() to point to the correct native lib path (horovod#3258)

* call setup for common process_set in remote trainers

moved _setup call to init()

Signed-off-by: TJ <tix@uber.com>
Signed-off-by: weihanmines <weihan13@amd.com>

Add support for MXNet async dependency engine. (horovod#3242)

Signed-off-by: Josh Romero <joshr@nvidia.com>
Signed-off-by: weihanmines <weihan13@amd.com>
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Horovod pyarrow IndexError: list index out of range
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