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Results 1 - 3 of 3 for AllowDynamicRangeQuantizedOperand (0.8 sec)

  1. 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
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  2. 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
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  3. 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
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