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use tensor_rs::tensor::Tensor;
use super::{OpTrait, OpHandle};
pub struct NormalizeUnit {
handle: OpHandle,
}
impl NormalizeUnit {
pub fn new() -> NormalizeUnit {
NormalizeUnit {
handle: OpHandle::new(),
}
}
fn get_handle(&self) -> &OpHandle {
&self.handle
}
fn get_handle_mut(&mut self) -> &mut OpHandle {
&mut self.handle
}
}
impl OpTrait for NormalizeUnit {
fn get_name(&self) -> String {
"normalize_unit".to_string()
}
fn get_input_size(&self) -> usize {
1
}
fn get_output_size(&self) -> usize {
1
}
fn apply(&self, input: &[Tensor], output: &[Tensor]) {
output[0].swap(&input[0].normalize_unit());
}
fn grad(&self, input: &[Tensor], output_grad: &[Tensor], input_grad: &[Tensor]) {
unimplemented!();
}
fn get_values(&self) -> Vec<Tensor> {
Vec::new()
}
fn get_grads(&self) -> Vec<Tensor> {
Vec::new()
}
fn set_values(&self, _v: &[Tensor]) {
}
}
impl Default for NormalizeUnit {
fn default() -> Self {
Self::new()
}
}
pub struct Det {
handle: OpHandle,
}
impl Det {
pub fn new() -> Det {
Det {
handle: OpHandle::new(),
}
}
fn get_handle(&self) -> &OpHandle {
&self.handle
}
fn get_handle_mut(&mut self) -> &mut OpHandle {
&mut self.handle
}
}
impl OpTrait for Det {
fn get_name(&self) -> String {
"det".to_string()
}
fn get_input_size(&self) -> usize {
1
}
fn get_output_size(&self) -> usize {
1
}
fn apply(&self, input: &[Tensor], output: &[Tensor]) {
output[0].swap(&input[0].det().expect("det() does not get a result."));
}
fn grad(&self, input: &[Tensor], output_grad: &[Tensor], input_grad: &[Tensor]) {
unimplemented!();
}
fn get_values(&self) -> Vec<Tensor> {
Vec::new()
}
fn get_grads(&self) -> Vec<Tensor> {
Vec::new()
}
fn set_values(&self, _v: &[Tensor]) {
}
}
impl Default for Det {
fn default() -> Self {
Self::new()
}
}
pub struct Inv {
handle: OpHandle,
}
impl Inv {
pub fn new() -> Inv {
Inv {
handle: OpHandle::new(),
}
}
fn get_handle(&self) -> &OpHandle {
&self.handle
}
fn get_handle_mut(&mut self) -> &mut OpHandle {
&mut self.handle
}
}
impl OpTrait for Inv {
fn get_name(&self) -> String {
"inv".to_string()
}
fn get_input_size(&self) -> usize {
1
}
fn get_output_size(&self) -> usize {
1
}
fn apply(&self, input: &[Tensor], output: &[Tensor]) {
output[0].swap(&input[0].inv().expect("inv() does not get a result."));
}
fn grad(&self, input: &[Tensor], output_grad: &[Tensor], input_grad: &[Tensor]) {
unimplemented!();
}
fn get_values(&self) -> Vec<Tensor> {
Vec::new()
}
fn get_grads(&self) -> Vec<Tensor> {
Vec::new()
}
fn set_values(&self, _v: &[Tensor]) {
}
}
impl Default for Inv {
fn default() -> Self {
Self::new()
}
}
pub struct Tr {
handle: OpHandle,
}
impl Tr {
pub fn new() -> Tr {
Tr {
handle: OpHandle::new(),
}
}
fn get_handle(&self) -> &OpHandle {
&self.handle
}
fn get_handle_mut(&mut self) -> &mut OpHandle {
&mut self.handle
}
}
impl OpTrait for Tr {
fn get_name(&self) -> String {
"tr".to_string()
}
fn get_input_size(&self) -> usize {
1
}
fn get_output_size(&self) -> usize {
1
}
fn apply(&self, input: &[Tensor], output: &[Tensor]) {
output[0].swap(&input[0].tr());
}
fn grad(&self, input: &[Tensor], output_grad: &[Tensor], input_grad: &[Tensor]) {
unimplemented!();
}
fn get_values(&self) -> Vec<Tensor> {
Vec::new()
}
fn get_grads(&self) -> Vec<Tensor> {
Vec::new()
}
fn set_values(&self, _v: &[Tensor]) {
}
}
impl Default for Tr {
fn default() -> Self {
Self::new()
}
}