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public class
DequantizeOp
Dequantizes a TensorBuffer with given zeroPoint and scale.
Note: The data type of output tensor is always FLOAT32 except when the DequantizeOp is
created effectively as an identity Op such as setting zeroPoint to 0 and scale to
1 (in this case, the output tensor is the same instance as input).
If both zeroPoint and scale are 0, the DequantizeOp will be bypassed,
which is equivalent to setting zeroPoint to 0 and scale to 1. This can be useful
when passing in the quantization parameters that are extracted directly from the TFLite model
flatbuffer. If the tensor is not quantized, both zeroPoint and scale will be read
as 0.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-05-10 UTC."],[],[]]