Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

UniformQuantizedClipByValue

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public final class UniformQuantizedClipByValue

Perform clip by value on the quantized Tensor `operand`.

Given quantized `operand` which was quantized using `scales` and `zero_points`, performs clip by value using `min` and `max` values. If quantization_axis is -1 (per-tensor quantized), the entire operand is clipped using scalar min, max. Otherwise (per-channel quantized), the clipping is also done per-channel.

Nested Classes

class UniformQuantizedClipByValue.Options Optional attributes for UniformQuantizedClipByValue  

Public Methods

Output<T>
asOutput()
Returns the symbolic handle of a tensor.
static <T> UniformQuantizedClipByValue<T>
create(Scope scope, Operand<T> operand, Operand<T> min, Operand<T> max, Operand<Float> scales, Operand<Integer> zeroPoints, Long quantizationMinVal, Long quantizationMaxVal, Options... options)
Factory method to create a class wrapping a new UniformQuantizedClipByValue operation.
Output<T>
output()
The output clipped Tensor of T, whose shape is same as operand.
static UniformQuantizedClipByValue.Options
quantizationAxis(Long quantizationAxis)

Inherited Methods

Public Methods

public Output<T> asOutput ()

Returns the symbolic handle of a tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static UniformQuantizedClipByValue<T> create (Scope scope, Operand<T> operand, Operand<T> min, Operand<T> max, Operand<Float> scales, Operand<Integer> zeroPoints, Long quantizationMinVal, Long quantizationMaxVal, Options... options)

Factory method to create a class wrapping a new UniformQuantizedClipByValue operation.

Parameters
scope current scope
operand Must be a Tensor of T.
min The min value(s) to clip operand. Must be a Tensor of T. Must be a scalar Tensor if quantization_axis is -1 (per-tensor quantization), otherwise 1D Tensor of size (operand.dim_size(quantization_axis),) (per-axis quantization).
max The min value(s) to clip operand. Must be a Tensor of T. Must be a scalar Tensor if quantization_axis is -1 (per-tensor quantization), otherwise 1D Tensor of size (operand.dim_size(quantization_axis),) (per-axis quantization).
scales The float value(s) used as scale(s) when quantizing `operand`, `min` and `max`. Must be a scalar Tensor if quantization_axis is -1 (per-tensor quantization), otherwise 1D Tensor of size (operand.dim_size(quantization_axis),) (per-axis quantization).
zeroPoints The int32 value(s) used as zero_point(s) when quantizing `operand`, `min` and `max`. Same shape condition as scales.
quantizationMinVal The quantization min value that was used when operand was quantized.
quantizationMaxVal The quantization max value that was used when operand was quantized.
options carries optional attributes values
Returns
  • a new instance of UniformQuantizedClipByValue

public Output<T> output ()

The output clipped Tensor of T, whose shape is same as operand.

public static UniformQuantizedClipByValue.Options quantizationAxis (Long quantizationAxis)

Parameters
quantizationAxis 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, operand.dims()).