tf.raw_ops.UniformQuantize | TensorFlow v2.16.1 (original) (raw)
tf.raw_ops.UniformQuantize
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Perform quantization on Tensor input
.
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Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.raw_ops.UniformQuantize
tf.raw_ops.UniformQuantize(
input,
scales,
zero_points,
Tout,
quantization_min_val,
quantization_max_val,
quantization_axis=-1,
name=None
)
Given input
, scales
and zero_points
, performs quantization using the formula: quantized_data = floor(input_data * (1.0f / scale) + 0.5f) + zero_point
Args | |
---|---|
input | A Tensor. Must be one of the following types: float32. Must be a Tensor of Tin. |
scales | A Tensor of type float32. The float value(s) to use as scale(s) to quantize input. Must be a scalar Tensor if quantization_axis is -1 (per-tensor quantization), otherwise 1D Tensor of size (input.dim_size(quantization_axis),) (per-axis quantization). |
zero_points | A Tensor of type int32. The int32 value(s) to use as zero_point(s) to quantize input. Same shape condition as scales. |
Tout | A tf.DType from: tf.qint8, tf.qint32. The type of output Tensor. A tf.DType from: tf.float32 |
quantization_min_val | An int. The quantization min value to quantize input. The purpose of this attribute is typically (but not limited to) to indicate narrow range, where this is set to:(Tin lowest) + 1 if narrow range, and (Tin lowest) otherwise. For example, if Tin is qint8, this is set to -127 if narrow range quantized or -128 if not. |
quantization_max_val | An int. The quantization max value to quantize input. The purpose of this attribute is typically (but not limited to) indicate narrow range, where this is set to:(Tout max) for both narrow range and not narrow range. For example, if Tin is qint8, this is set to 127. |
quantization_axis | An optional int. Defaults to -1. Indicates the dimension index of the tensor where per-axis quantization is applied for the slices along that dimension. If set to -1 (default), this indicates per-tensor quantization. Otherwise, it must be set within range [0, input.dims()). |
name | A name for the operation (optional). |
Returns |
---|
A Tensor of type Tout. |
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Last updated 2024-04-26 UTC.