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Results 1 - 3 of 3 for AllowDynamicRangeQuantizedOperand (0.8 sec)
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tensorflow/compiler/mlir/lite/transforms/quantize.cc
std::string op_name = custom_op.getCustomCode().str(); return (custom_op_map.find(op_name) == custom_op_map.end()) ? false : true; } static bool AllowDynamicRangeQuantizedOperand( Operation* quantized_op, const quant::CustomOpMap& custom_op_map) { // Collect the input if dynamic range quantization is on and the op supports // it.
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/quantization/common/quantization_lib/quantization_utils.h
// have quantization parameters propagated to, so will be in float in the // quantized results. The concrete pattern should define the following two // functions: // // bool AllowDynamicRangeQuantizedOperand(Operation *) const // bool AllowDynamicRangeQuantizedResult(Operation *) const // // Full integer quantization disallows "DynamicRangeQuantized" operands or
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 20:30:06 UTC 2024 - 41.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantize.cc
return false; } // All the quantized ops are supported if the quantization method is dynamic // range quantization. static bool AllowDynamicRangeQuantizedOperand( Operation* quantized_op, const CustomMap& custom_op_map) { auto call_op = cast<TF::PartitionedCallOp>(quantized_op); StringRef function_name =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 22 05:52:39 UTC 2024 - 23.6K bytes - Viewed (0)