Fix pyspark with verbosity=3. (#10172)

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Jiaming Yuan 2024-04-09 23:18:56 +08:00 committed by GitHub
parent a99bb38bd2
commit f0a138f33a
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2 changed files with 19 additions and 15 deletions

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@ -1052,6 +1052,7 @@ class _SparkXGBEstimator(Estimator, _SparkXGBParams, MLReadable, MLWritable):
dev_ordinal = None
use_qdm = _can_use_qdm(booster_params.get("tree_method", None))
verbosity = booster_params.get("verbosity", 1)
msg = "Training on CPUs"
if run_on_gpu:
dev_ordinal = (
@ -1089,6 +1090,7 @@ class _SparkXGBEstimator(Estimator, _SparkXGBParams, MLReadable, MLWritable):
evals_result: Dict[str, Any] = {}
with CommunicatorContext(context, **_rabit_args):
with xgboost.config_context(verbosity=verbosity):
dtrain, dvalid = create_dmatrix_from_partitions(
pandas_df_iter,
feature_prop.features_cols_names,

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@ -307,14 +307,16 @@ class MemoryLogger {
void RegisterDeallocation(void *ptr, size_t n, int current_device) {
auto itr = device_allocations.find(ptr);
if (itr == device_allocations.end()) {
LOG(WARNING) << "Attempting to deallocate " << n << " bytes on device "
<< current_device << " that was never allocated ";
}
LOG(WARNING) << "Attempting to deallocate " << n << " bytes on device " << current_device
<< " that was never allocated\n"
<< dmlc::StackTrace();
} else {
num_deallocations++;
CHECK_LE(num_deallocations, num_allocations);
currently_allocated_bytes -= itr->second;
device_allocations.erase(itr);
}
}
};
DeviceStats stats_;
std::mutex mutex_;