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Results 1 - 2 of 2 for enable_custom_op_quantization_ (0.36 sec)
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tensorflow/compiler/mlir/lite/transforms/prepare_quantize_dynamic_range.cc
!enable_dynamic_range_per_channel_quantization_for_dense_layers_; quant_specs_.minimum_elements_for_weights = min_elements_for_weights_; if (!enable_custom_op_quantization_.empty()) { ParseCustomOpSpecs(enable_custom_op_quantization_, quant::CustomOpUpdateOptions::kInputIndices, quant_specs_.custom_map); } ConvertTFLQuantOpsToMlirQuantOps(func);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 20.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/passes.td
Option<"enable_float16_quantization_", "enable-float16-quantization", "bool", "false", "Whether apply float16 quantization. If false, int8 quantization is applied.">, Option<"enable_custom_op_quantization_", "enable-custom-op-quantization", "std::string", "", "Specifies which pairs of a custom op and indices are quantizable where the indices are separated with a space.">, ]; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 20:30:06 UTC 2024 - 22.6K bytes - Viewed (0)