- Sort Score
- Result 10 results
- Languages All
Results 1 - 10 of 10 for Quantiles (0.2 sec)
-
src/internal/trace/gc.go
// distribution quantile is less than the next worst-case mean // mutator utilization. At this point, all further // contributions to the distribution must be beyond the // desired quantile and hence cannot affect it. // // First, find the highest desired distribution quantile. maxQ := quantiles[0] for _, q := range quantiles { if q > maxQ { maxQ = q } }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri May 17 18:48:18 UTC 2024 - 26K bytes - Viewed (0) -
src/runtime/debug/garbage.go
// stats.Pause slice will be reused if large enough, reallocated otherwise. // ReadGCStats may use the full capacity of the stats.Pause slice. // If stats.PauseQuantiles is non-empty, ReadGCStats fills it with quantiles // summarizing the distribution of pause time. For example, if // len(stats.PauseQuantiles) is 5, it will be filled with the minimum, // 25%, 50%, 75%, and maximum pause times. func ReadGCStats(stats *GCStats) {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 01:00:11 UTC 2024 - 9.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/calibrator/calibration_algorithm.py
) # Get index of min/max quantile. min_quantile_idx, max_quantile_idx = ( np.searchsorted(hist_freq_cumsum, min_quantile, side='right'), np.searchsorted(hist_freq_cumsum, max_quantile, side='left'), ) # Get value of min/max quantile index. min_value, max_value = ( self._hist_mids[min_quantile_idx],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 11 19:29:56 UTC 2024 - 14.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/pywrap_quantize_model.cc
dst_saved_model_path, *exported_model, src_saved_model_path, tags, signature_def_map); return absl::OkStatus(); }, R"pbdoc( Quantizes a model that went through quantization-aware training (QAT) saved at `src_saved_model_path`. The resulting model will be saved to `dst_saved_model_path`. Returns an OK sataus when successful, otherwise
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 09 06:33:29 UTC 2024 - 12K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/quantization_patterns.cc
private: [[deprecated( "Do not rely on this field for per-channel quantization. Use `Method` " "instead.")]] const bool enable_per_channel_quantized_weight_; }; // Quantizes op with regions such as stablehlo.reduce_window op. // Quantizes only when the nested region consists of ops whose quantization // parameters can be propagated from outside. class QuantizeOpWithRegionPattern
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 06:04:36 UTC 2024 - 41.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/quantize_model.py
quantization_options: _QuantizationOptions, representative_dataset: Optional[ repr_dataset.RepresentativeDatasetOrMapping ] = None, ) -> autotrackable.AutoTrackable: """Quantizes the given SavedModel via static range quantization. If the model is not trained with Quantization-Aware Training (QAT) technique, it requires `representative_dataset` to collect statistics required for
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 34.2K bytes - Viewed (0) -
manifests/addons/dashboards/lib/output.json
"intervalFactor": 2, "legendFormat": "{{cluster}} - {{namespace}} - {{name}} - mean\n" } ], "title": "Workqueue Waiting Duration Quantile", "type": "timeseries" }, { "datasource": { "type": "datasource", "uid": "-- Mixed --" },
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Tue Jun 04 18:05:06 UTC 2024 - 25.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_config.h
bool weight_quantization = false; // Whether to use the MLIR dynamic range quantizer instead of TOCO. bool enable_mlir_dynamic_range_quantizer = false; // Whether to allow weight-only quantization. This scheme quantizes // weights but will dequantize them back at runtime which is useful for // memory bound case without kernel support available in lower precisions. // Used in MLIR dynamic range quantizer.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 13 10:16:19 UTC 2024 - 10.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/passes.td
==============================================================================*/ include "mlir/Pass/PassBase.td" def QuantizeWeightPass : Pass<"stablehlo-quantize-weight", "mlir::func::FuncOp"> { let summary = "Quantizes the weight component of StableHLO graph."; let dependentDialects = ["mlir::stablehlo::StablehloDialect"]; let constructor = "mlir::quant::stablehlo::CreateQuantizeWeightPass()"; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 10.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_utils.h
int axis); // Quantizes the elements in the attribute `real_value` by the quantization // parameters in `tensor_type`. Returns empty Attribute if the // `tensor_type` is not a QuantizedType or the quantization fails. ElementsAttr Quantize(Attribute real_value, Type tensor_type); // Quantizes the elements in "legacy mode", where it calls TOCO's methods to
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 20:30:06 UTC 2024 - 41.7K bytes - Viewed (0)