Fix pyspark with verbosity=3. (#10172)
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@ -1052,6 +1052,7 @@ class _SparkXGBEstimator(Estimator, _SparkXGBParams, MLReadable, MLWritable):
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dev_ordinal = None
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use_qdm = _can_use_qdm(booster_params.get("tree_method", None))
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verbosity = booster_params.get("verbosity", 1)
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msg = "Training on CPUs"
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if run_on_gpu:
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dev_ordinal = (
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@ -1089,6 +1090,7 @@ class _SparkXGBEstimator(Estimator, _SparkXGBParams, MLReadable, MLWritable):
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evals_result: Dict[str, Any] = {}
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with CommunicatorContext(context, **_rabit_args):
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with xgboost.config_context(verbosity=verbosity):
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dtrain, dvalid = create_dmatrix_from_partitions(
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pandas_df_iter,
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feature_prop.features_cols_names,
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@ -307,14 +307,16 @@ class MemoryLogger {
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void RegisterDeallocation(void *ptr, size_t n, int current_device) {
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auto itr = device_allocations.find(ptr);
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if (itr == device_allocations.end()) {
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LOG(WARNING) << "Attempting to deallocate " << n << " bytes on device "
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<< current_device << " that was never allocated ";
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}
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LOG(WARNING) << "Attempting to deallocate " << n << " bytes on device " << current_device
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<< " that was never allocated\n"
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<< dmlc::StackTrace();
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} else {
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num_deallocations++;
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CHECK_LE(num_deallocations, num_allocations);
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currently_allocated_bytes -= itr->second;
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device_allocations.erase(itr);
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}
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}
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};
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DeviceStats stats_;
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std::mutex mutex_;
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