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Results 1 - 3 of 3 for tfl_quantizer (0.18 sec)

  1. tensorflow/compiler/mlir/lite/transforms/prepare_patterns.td

    // "qtype" attribute, we should update the type shape in this attribute.
    def ReorderTransposeDequantQuant :
          Pat<(TF_TransposeOp:$old_value
                  (TFL_DequantizeOp (TFL_QuantizeOp $input, $qtype)), $perm),
              (TFL_DequantizeOp (TFL_QuantizeOp
                                    (TF_TransposeOp $input, $perm),
                                    (UpdateShapeWithAxis<-1> $qtype, $old_value))),
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Apr 30 00:40:15 UTC 2024
    - 10.5K bytes
    - Viewed (0)
  2. tensorflow/compiler/mlir/lite/transforms/legalize_patterns.td

                                 (TFL_ExpandDimsOp $input, $dim)>;
    
    def LegalizeFakeQuantToDequantizeQuantize : Pat<
      (TF_FakeQuantWithMinMaxArgsOp $inputs, $min, $max, $num_bits, $narrow_range),
      (TFL_DequantizeOp
       (TFL_QuantizeOp $inputs,
                       (ConvertToQuantTypeFromAttrs $inputs, $min, $max,
                        $num_bits, $narrow_range)))>;
    
    def LegalizeFill : Pat<(TF_FillOp $arg, $value), (TFL_FillOp $arg, $value)>;
    
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Jun 04 13:30:42 UTC 2024
    - 28.5K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/tensorflow/ir/tf_op_base.td

      "8-bit quantized unsigned integer">;
    def TF_Quint16 : AnyTypeOf<
      [TF_TensorFlowType<"Quint16", "quint16">, TF_Quint16Ref],
      "16-bit quantized unsigned integer">;
    
    // Any quantized type
    def TF_Quantized : AnyTypeOf<
      [TF_Qint8, TF_Qint16, TF_Qint32, TF_Quint8, TF_Quint16], "quantized">;
    
    def TF_Qint8Tensor : TensorOf<[TF_Qint8]>;
    def TF_Qint16Tensor : TensorOf<[TF_Qint16]>;
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Oct 30 06:52:55 UTC 2023
    - 30.5K bytes
    - Viewed (0)
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