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Results 1 - 3 of 3 for enable_log_if_failed_ (0.29 sec)
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tensorflow/compiler/mlir/lite/transforms/quantize.cc
quant_specs.inference_type = tensorflow::DT_HALF; } const quant::QuantPassSpec quant_params = { {quant_specs.verify_numeric, error_tolerance_, quant_specs.whole_model_verify, enable_log_if_failed_}, quant_specs}; populateWithGenerated(patterns); if (quant_specs.weight_quantization || quant_specs.use_fake_quant_num_bits || quant_specs.qdq_conversion_mode ==
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 20:30:06 UTC 2024 - 13.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/passes.td
Option<"enable_whole_model_verify_", "whole-model-verify", "bool", "false", "Whether verify numericals layer by layer or whole model. Valid when `-numeric-verify` is set.">, Option<"enable_log_if_failed_", "log-if-failed", "bool", "false", "Whether verify numericals with thresholding tolerance. Valid when `-numeric-verify` is set.">,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 20:30:06 UTC 2024 - 22.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantize.cc
quant_specs_.weight_quantization = weight_quantization_; const QuantPassSpec quant_params = { {quant_specs_.verify_numeric, /*error_tolerance=*/5.0f, quant_specs_.whole_model_verify, /*enable_log_if_failed=*/false}, quant_specs_}; if (quant_specs_.weight_quantization) { patterns.add<TFDynamicRangeQuantization>(ctx, quant_params); } else {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 22 05:52:39 UTC 2024 - 23.6K bytes - Viewed (0)