Struct tensorflow::eager::raw_ops::UniformQuantizedConvolution

pub struct UniformQuantizedConvolution { /* private fields */ }

UniformQuantizedConvolution

See : https://www.tensorflow.org/api_docs/python/tf/raw_ops/UniformQuantizedConvolution

Implementations

impl UniformQuantizedConvolution

pub fn new() -> Self

Creates a new UniformQuantizedConvolution.

pub fn Tout<ArgType: Into<DataType>>(self, value: ArgType) -> Self

Sets the Tout attribute.

pub fn window_strides<ArgType: Into<Vec<i64>>>(self, value: ArgType) -> Self

Sets the window_strides attribute.

pub fn padding<ArgType: Into<String>>(self, value: ArgType) -> Self

Sets the padding attribute.

pub fn explicit_padding<ArgType: Into<Vec<i64>>>(self, value: ArgType) -> Self

Sets the explicit_padding attribute.

pub fn lhs_dilation<ArgType: Into<Vec<i64>>>(self, value: ArgType) -> Self

Sets the lhs_dilation attribute.

pub fn rhs_dilation<ArgType: Into<Vec<i64>>>(self, value: ArgType) -> Self

Sets the rhs_dilation attribute.

pub fn batch_group_count<ArgType: Into<i64>>(self, value: ArgType) -> Self

Sets the batch_group_count attribute.

pub fn feature_group_count<ArgType: Into<i64>>(self, value: ArgType) -> Self

Sets the feature_group_count attribute.

pub fn dimension_numbers<ArgType: Into<String>>(self, value: ArgType) -> Self

Sets the dimension_numbers attribute.

pub fn lhs_quantization_axis<ArgType: Into<i64>>(self, value: ArgType) -> Self

Sets the lhs_quantization_axis attribute.

pub fn lhs_quantization_min_val<ArgType: Into<i64>>( self, value: ArgType ) -> Self

Sets the lhs_quantization_min_val attribute.

pub fn lhs_quantization_max_val<ArgType: Into<i64>>( self, value: ArgType ) -> Self

Sets the lhs_quantization_max_val attribute.

pub fn rhs_quantization_axis<ArgType: Into<i64>>(self, value: ArgType) -> Self

Sets the rhs_quantization_axis attribute.

pub fn rhs_quantization_min_val<ArgType: Into<i64>>( self, value: ArgType ) -> Self

Sets the rhs_quantization_min_val attribute.

pub fn rhs_quantization_max_val<ArgType: Into<i64>>( self, value: ArgType ) -> Self

Sets the rhs_quantization_max_val attribute.

pub fn output_quantization_axis<ArgType: Into<i64>>( self, value: ArgType ) -> Self

Sets the output_quantization_axis attribute.

pub fn output_quantization_min_val<ArgType: Into<i64>>( self, value: ArgType ) -> Self

Sets the output_quantization_min_val attribute.

pub fn output_quantization_max_val<ArgType: Into<i64>>( self, value: ArgType ) -> Self

Sets the output_quantization_max_val attribute.

pub fn target_device_name<ArgType: Into<String>>(self, value: ArgType) -> Self

Sets the `` attribute.

pub fn call<'a, T0: ToTensorHandle<'a>, T1: ToTensorHandle<'a>, T2: ToTensorHandle<'a>, T3: ToTensorHandle<'a>, T4: ToTensorHandle<'a>, T5: ToTensorHandle<'a>, T6: ToTensorHandle<'a>, T7: ToTensorHandle<'a>>( &self, ctx: &'a Context, lhs: &T0, rhs: &T1, lhs_scales: &T2, lhs_zero_points: &T3, rhs_scales: &T4, rhs_zero_points: &T5, output_scales: &T6, output_zero_points: &T7 ) -> Result<TensorHandle<'a>>

Execute uniform_quantized_convolution.

Trait Implementations

impl Clone for UniformQuantizedConvolution

fn clone(&self) -> UniformQuantizedConvolution

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for UniformQuantizedConvolution

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for UniformQuantizedConvolution

fn default() -> Self

Returns the “default value” for a type.