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Results 1 - 3 of 3 for enable_legacy_weight_only (0.35 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/quantize_passes.cc
quantization_options.op_set(), quantization_options.enable_per_channel_quantization(), quantization_options.min_num_elements_for_weights(), quantization_options.enable_legacy_weight_only(), mlir_dump_file_prefix)); pm.addPass(mlir::createSymbolDCEPass()); pm.addPass(mlir::TF::CreateTFShapeInferencePass()); // TODO: b/264637396 - Deprecate TF opset
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 9.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/passes.h
quantization_method, tensorflow::quantization::OpSet target_opset, bool enable_per_channel_quantization, int min_num_elements_for_weights, bool enable_legacy_weight_only = false, std::optional<const absl::string_view> mlir_dump_file_prefix = std::nullopt); // Converts dequantize-(quantizable) call-quantize pattern to a single call op
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 12.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/quantize_model.py
) if not quantization_options.HasField('freeze_all_variables'): quantization_options.freeze_all_variables = True if quantization_options.enable_legacy_weight_only: raise ValueError( 'Legacy weight-only is deprecated. Use weight-only quantization method.' ) # Converter assumes options are specified. So set SRQ explicitly. if (
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 34.2K bytes - Viewed (0)