use std::{any::Any, collections::HashMap};
use crate::{
nodes::{node::Node, unique_ids::UniqueId},
tensor_map::TensorMap,
typed_array::TypedArray,
};
use anyhow::Result;
use onnx_extractor::OnnxOperation;
#[derive(Default)]
pub struct UnsquezeeNode<T: Default> {
data: String,
axes: String,
o: String,
unique_id: UniqueId,
next_node: Option<Vec<Box<dyn Node<T>>>>,
}
impl<T: Default> UnsquezeeNode<T> {
pub fn new(elem: &OnnxOperation) -> Self {
let mut unsqueeze = Self {
data: String::new(),
axes: String::new(),
o: String::new(),
unique_id: UniqueId::Unsqueeze,
next_node: None,
};
unsqueeze.add_input_strings(&elem.inputs);
unsqueeze.add_output_strings(elem.outputs[0].clone());
unsqueeze
}
pub fn add_input_strings(&mut self, inputs: &[String]) {
self.data = inputs[0].clone();
self.axes = inputs[1].clone();
}
pub fn add_output_strings(&mut self, o: String) {
self.o = o;
}
}
impl<T: Default + 'static> Node<T> for UnsquezeeNode<T> {
fn as_any_mut(&mut self) -> &mut dyn Any {
self
}
fn get_unique_id(&self) -> UniqueId {
self.unique_id
}
fn get_unique_id_mut(&mut self) -> UniqueId {
self.unique_id
}
fn get_next(&self) -> Option<&Vec<Box<dyn Node<T>>>> {
self.next_node.as_ref()
}
fn execute(&self, omap: &mut TensorMap) {
let [data, axes, o] = omap.get_disjoint_mut([&self.data, &self.axes, &self.o]);
let axes = axes.map(|val| &*val);
let data = &*data.unwrap();
match (axes, o) {
(Some(axes), Some(result)) => {
data.unsqueeze(axes, result).unwrap();
}
_ => panic!("UnsquezeeNode: missing input {}", self.data),
}
}
fn output_names(&self) -> Vec<String> {
vec![self.o.clone()]
}
fn input_names(&self) -> Vec<String> {
vec![self.data.clone()]
}
fn take_next(&mut self) -> Option<Vec<Box<dyn Node<T>>>> {
self.next_node.take()
}
fn get_next_mut(&mut self) -> Option<&mut Vec<Box<dyn Node<T>>>> {
self.next_node.as_mut()
}
fn set_next(&mut self, next: Option<Vec<Box<dyn Node<T>>>>) {
self.next_node = next;
}
fn print(&self) {
if let Some(list) = &self.next_node {
print!("{}-", list.len());
}
println!("unsqueeze-{},{}", self.data, self.o);
if let Some(next) = &self.next_node {
next.iter().for_each(|v| v.print());
}
}
fn determine_output_shape(&mut self, omap: &mut TensorMap) {
let [x, axes, o] = omap.get_disjoint_mut([&self.data, &self.axes, &self.o]);
let x = x.map(|arr| &*arr);
let axes = axes.map(|arr| &*arr);
if let (Some(x), Some(axes), Some(o)) = (x, axes, o)
&& let Some(in_shape) = x.shape()
&& let TypedArray::Int64(axes_arr) = axes
{
let axes_vec: Vec<i64> = axes_arr.iter().copied().collect();
let output_rank = in_shape.len() + axes_vec.len();
let mut norm_axes: Vec<usize> = axes_vec
.iter()
.map(|&a| {
if a < 0 {
(output_rank as i64 + a) as usize
} else {
a as usize
}
})
.collect();
norm_axes.sort();
let mut out_shape = in_shape.to_vec();
for &axis in &norm_axes {
out_shape.insert(axis, 1);
}
*o = TypedArray::empty_with_others_type(x, &out_shape);
}
if let Some(list) = &mut self.next_node {
for next in list {
next.determine_output_shape(omap);
}
}
}
}
impl TypedArray {
pub fn unsqueeze(&self, axes: &TypedArray, o: &mut TypedArray) -> anyhow::Result<()> {
let axes_vec: Vec<i64> = match axes {
TypedArray::Int64(a) => a.iter().copied().collect(),
_ => anyhow::bail!("Unsqueeze: axes must be I64"),
};
let in_shape = self
.shape()
.ok_or_else(|| anyhow::anyhow!("Unsqueeze: undefined input"))?;
let output_rank = in_shape.len() + axes_vec.len();
let mut norm_axes: Vec<usize> = axes_vec
.iter()
.map(|&a| {
if a < 0 {
(output_rank as i64 + a) as usize
} else {
a as usize
}
})
.collect();
norm_axes.sort();
let mut out_shape: Vec<usize> = in_shape.to_vec();
for &axis in norm_axes.iter() {
out_shape.insert(axis, 1);
}
macro_rules! unsqueeze_variant {
($variant:ident, $a:expr) => {{
use ndarray::ArrayD;
use ndarray::IxDyn;
let src = $a.as_slice_memory_order().unwrap();
let needs_realloc = match &*o {
TypedArray::$variant(out) => out.shape() != out_shape.as_slice(),
_ => true,
};
if needs_realloc {
*o = TypedArray::$variant(ArrayD::from_shape_vec(
IxDyn(&out_shape),
src.to_vec(),
)?)
.ensure_contiguous();
} else {
if let TypedArray::$variant(out) = o {
let dst = out.as_slice_memory_order_mut().unwrap();
dst.copy_from_slice(src);
}
}
}};
}
match self {
TypedArray::Float(a) => unsqueeze_variant!(Float, a),
TypedArray::Double(a) => unsqueeze_variant!(Double, a),
TypedArray::Int32(a) => unsqueeze_variant!(Int32, a),
TypedArray::Int64(a) => unsqueeze_variant!(Int64, a),
TypedArray::Uint8(a) => unsqueeze_variant!(Uint8, a),
TypedArray::Uint16(a) => unsqueeze_variant!(Uint16, a),
TypedArray::Uint32(a) => unsqueeze_variant!(Uint32, a),
TypedArray::Uint64(a) => unsqueeze_variant!(Uint64, a),
TypedArray::Int8(a) => unsqueeze_variant!(Int8, a),
TypedArray::Int16(a) => unsqueeze_variant!(Int16, a),
TypedArray::Bool(a) => unsqueeze_variant!(Bool, a),
_ => anyhow::bail!("Unsqueeze: unsupported type"),
}
Ok(())
}
}