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