From 1c6330c57888f6d1b9b4577ed2dd674f5a6b4981 Mon Sep 17 00:00:00 2001
From: Aman-Amith-Shastry <amanshastrychess@gmail.com>
Date: Fri, 20 Dec 2024 16:09:35 -0500
Subject: [PATCH 1/8] Functional iterator for single axis for Tensor (not
 TensorView)

---
 src/tensor/data_buffer/data_owned.rs   |  18 ++
 src/tensor/data_buffer/data_view.rs    |  12 +-
 src/tensor/iterator/iterator_base.rs   | 116 +++++++++++++
 src/tensor/iterator/mod.rs             |   3 +
 src/tensor/iterator/tensor_iterator.rs |  26 +++
 tests/tensor.rs                        | 218 +++++++++++++++++++++----
 6 files changed, 363 insertions(+), 30 deletions(-)
 create mode 100644 src/tensor/iterator/iterator_base.rs
 create mode 100644 src/tensor/iterator/tensor_iterator.rs

diff --git a/src/tensor/data_buffer/data_owned.rs b/src/tensor/data_buffer/data_owned.rs
index 5cbf156..5edc257 100644
--- a/src/tensor/data_buffer/data_owned.rs
+++ b/src/tensor/data_buffer/data_owned.rs
@@ -43,6 +43,24 @@ impl<T: RawDataType> DataOwned<T> {
         }
     }
 
+    // pub fn new_from_ref(data: Vec<&T>) -> Self {
+    //     if data.is_empty() {
+    //         panic!("Tensor::from() failed, cannot create data buffer from empty data");
+    //     }
+    //
+    //     // take control of the data so that Rust doesn't drop it once the vector goes out of scope
+    //     let mut data = ManuallyDrop::new(data);
+    //
+    //     // safe to unwrap because we've checked length above
+    //     let ptr = data.as_mut_ptr();
+    //
+    //     Self {
+    //         len: data.len(),
+    //         capacity: data.capacity(),
+    //         ptr: NonNull::new(ptr).unwrap(),
+    //     }
+    // }
+
     pub fn from(data: impl Flatten<T> + Homogenous) -> Self {
         Self::new(data.flatten())
     }
diff --git a/src/tensor/data_buffer/data_view.rs b/src/tensor/data_buffer/data_view.rs
index 00ae571..7a1df97 100644
--- a/src/tensor/data_buffer/data_view.rs
+++ b/src/tensor/data_buffer/data_view.rs
@@ -1,3 +1,4 @@
+use std::mem::ManuallyDrop;
 use crate::tensor::data_buffer::{DataBuffer, DataOwned};
 use crate::tensor::dtype::RawDataType;
 use std::ops::Index;
@@ -12,7 +13,7 @@ pub struct DataView<T: RawDataType> {
 impl<T: RawDataType> DataView<T> {
     pub(in crate::tensor) fn from_buffer<B>(value: &B, offset: usize, len: usize) -> Self
     where
-        B: DataBuffer<DType=T>,
+        B: DataBuffer<DType = T>,
     {
         assert!(offset + len <= value.len());
         Self {
@@ -20,6 +21,15 @@ impl<T: RawDataType> DataView<T> {
             len,
         }
     }
+
+    pub(in crate::tensor) fn from_vec_ref(vec: Vec<T>, offset: usize, len: usize) -> Self {
+        assert!(offset + len <= vec.len());
+        let mut data = ManuallyDrop::new(vec);
+        Self {
+            ptr: NonNull::new(data.as_mut_ptr()).unwrap(),
+            len,
+        }
+    }
 }
 
 impl<T: RawDataType> From<&DataOwned<T>> for DataView<T> {
diff --git a/src/tensor/iterator/iterator_base.rs b/src/tensor/iterator/iterator_base.rs
new file mode 100644
index 0000000..a724e72
--- /dev/null
+++ b/src/tensor/iterator/iterator_base.rs
@@ -0,0 +1,116 @@
+use crate::data_buffer::{DataBuffer, DataOwned, DataView};
+use crate::dtype::RawDataType;
+use crate::{tensor, TensorView};
+
+#[non_exhaustive]
+pub struct IteratorBase<'a, T, B>
+where
+    T: RawDataType,
+    B: DataBuffer<DType = T>,
+{
+    data_buffer: &'a B,
+    axis: usize,
+    shape: Vec<usize>,
+    stride: Vec<usize>,
+    indices: usize,
+    iter_count: isize,
+}
+
+impl<'a, T, B> IteratorBase<'a, T, B>
+where
+    T: RawDataType,
+    B: DataBuffer<DType = T>,
+{
+    pub(super) fn from(
+        data_buffer: &'a B,
+        axis: usize,
+        shape: Vec<usize>,
+        stride: Vec<usize>,
+        indices: usize,
+    ) -> Self {
+        Self {
+            data_buffer,
+            axis,
+            shape,
+            stride,
+            indices,
+            iter_count: 0,
+        }
+    }
+}
+
+impl<'a, T, B> Iterator for IteratorBase<'a, T, B>
+where
+    T: RawDataType,
+    B: DataBuffer<DType = T>,
+{
+    type Item = TensorView<T>;
+
+    fn next(&mut self) -> Option<Self::Item> {
+        match self.iter_count < self.shape[self.axis] as isize {
+            false => None,
+            true => unsafe {
+                let mut ptr_offset = 0isize;
+                let mut data_vec: Vec<T> = Vec::new();
+
+                let mut new_shape = self.shape.clone();
+                let mut new_stride = self.stride.clone();
+
+                for i in 0..self.axis {
+                    new_stride[i] = new_stride[i] / new_shape[self.axis];
+                }
+                new_shape.remove(self.axis);
+                new_stride.remove(self.axis);
+
+                let mut buffer_count: Vec<usize> = vec![0; self.axis + 1];
+
+                for _i in 0..self.indices {
+                    // Calculating offset on each iteration works like a counter, where each digit is an element
+                    // in an array/vector with a base corresponding to the shape at the index of the digit.
+                    // In the 'units' place, the 'base' is the stride at the axis of iteration.
+                    // These 'digits' are maintained in buffer_count
+
+                    let mut curr_axis = self.axis as isize;
+                    data_vec.push(
+                        *self
+                            .data_buffer
+                            .const_ptr()
+                            .offset(self.iter_count * self.stride[self.axis] as isize + ptr_offset),
+                    );
+
+                    buffer_count[curr_axis as usize] += 1;
+                    ptr_offset += 1;
+                    while curr_axis >= 0
+                        && ((curr_axis == self.axis as isize
+                            && buffer_count[curr_axis as usize] == self.stride[self.axis])
+                            || (curr_axis != self.axis as isize
+                                && buffer_count[curr_axis as usize]
+                                    == self.shape[curr_axis as usize]))
+                    {
+                        buffer_count[curr_axis as usize] = 0;
+                        curr_axis -= 1;
+
+                        if curr_axis < 0 {
+                            break;
+                        }
+                        buffer_count[curr_axis as usize] += 1;
+                        ptr_offset = (buffer_count[curr_axis as usize]
+                            * self.stride[curr_axis as usize])
+                            as isize;
+                    }
+                }
+
+                let data_buffer = DataView::from_vec_ref(data_vec.clone(), 0, data_vec.len());
+
+                self.iter_count += 1;
+
+                Some(TensorView {
+                    data: data_buffer,
+                    shape: new_shape.clone(),
+                    stride: new_stride.clone(),
+                    ndims: new_shape.len(),
+                })
+            },
+        }
+    }
+}
diff --git a/src/tensor/iterator/mod.rs b/src/tensor/iterator/mod.rs
index 29d8ee3..8a39489 100644
--- a/src/tensor/iterator/mod.rs
+++ b/src/tensor/iterator/mod.rs
@@ -4,5 +4,8 @@ pub mod buffer_iterator;
 pub(super) mod collapse_contiguous;
 pub mod flat_index_generator;
 pub mod flat_iterator;
+mod iterator_base;
+mod tensor_iterator;
 
 pub use flat_iterator::*;
+pub use tensor_iterator::*;
\ No newline at end of file
diff --git a/src/tensor/iterator/tensor_iterator.rs b/src/tensor/iterator/tensor_iterator.rs
new file mode 100644
index 0000000..efcc1d4
--- /dev/null
+++ b/src/tensor/iterator/tensor_iterator.rs
@@ -0,0 +1,26 @@
+use crate::data_buffer::{DataBuffer, DataOwned};
+use crate::dtype::RawDataType;
+use crate::iterator::iterator_base::IteratorBase;
+use crate::{Axis, Tensor};
+
+pub trait TensorIterator<T: RawDataType> {
+    type Buffer: DataBuffer<DType = T>;
+    fn iter(&self, axis: Axis) -> IteratorBase<T, Self::Buffer>;
+}
+
+impl<T: RawDataType> TensorIterator<T> for Tensor<T> {
+    type Buffer = DataOwned<T>;
+    fn iter(&self, axis: Axis) -> IteratorBase<T, Self::Buffer> {
+        assert!(
+            axis.0 < self.ndims,
+            "Axis must be smaller than number of dimensions!"
+        );
+        IteratorBase::from(
+            &self.data,
+            axis.0,
+            self.shape.clone(),
+            self.stride.clone(),
+            self.size() / self.shape[axis.0],
+        )
+    }
+}
diff --git a/tests/tensor.rs b/tests/tensor.rs
index c2df1c9..51b7d90 100644
--- a/tests/tensor.rs
+++ b/tests/tensor.rs
@@ -200,10 +200,7 @@ fn slice_along_nd() {
 
 #[test]
 fn slice_homogenous() {
-    let a = Tensor::from([
-        [[1, 2, 3], [4, 5, 6]],
-        [[7, 8, 9], [10, 11, 12]],
-    ]);
+    let a = Tensor::from([[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]]);
 
     let slice = a.slice([1, 1]);
 
@@ -312,7 +309,10 @@ fn flat_iter() {
     ]);
 
     let slice: Vec<_> = a.flat_iter().collect();
-    assert_eq!(slice, [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27]);
+    assert_eq!(
+        slice,
+        [10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27]
+    );
 
     let b = a.slice(s![.., 0]);
     let slice: Vec<_> = b.flat_iter().collect();
@@ -342,8 +342,9 @@ fn flatten() {
     assert_eq!(b.len(), &18);
     assert_eq!(b.ndims(), 1);
 
-    let correct = Tensor::from([10, 11, 12, 13, 14, 15, 16, 17, 18, 19,
-        20, 21, 22, 23, 24, 25, 26, 27]);
+    let correct = Tensor::from([
+        10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27,
+    ]);
     assert_eq!(b, correct);
 
     let b = a.slice(s![.., 0]).flatten();
@@ -368,9 +369,7 @@ fn flatten() {
 
 #[test]
 fn squeeze_first_dimension() {
-    let a = Tensor::from([
-        [[[1, 2, 3], [4, 5, 6]]],
-    ]);
+    let a = Tensor::from([[[[1, 2, 3], [4, 5, 6]]]]);
     let b = a.squeeze();
     assert_eq!(b.shape(), &[2, 3]);
     assert_eq!(b.stride(), &[3, 1]);
@@ -378,9 +377,7 @@ fn squeeze_first_dimension() {
 
 #[test]
 fn squeeze_multiple_dimensions() {
-    let a = Tensor::from([
-        [[[[1, 2, 3]], [[4, 5, 6]]]],
-    ]);
+    let a = Tensor::from([[[[[1, 2, 3]], [[4, 5, 6]]]]]);
     let b = a.squeeze();
     assert_eq!(b.shape(), &[2, 3]);
     assert_eq!(b.stride(), &[3, 1]);
@@ -435,7 +432,7 @@ fn unsqueeze_random_dimension_last_axis() {
 }
 
 #[test]
-fn full_i32(){
+fn full_i32() {
     let a = Tensor::full(3, vec![2, 3]);
     assert_eq!(a.shape(), &[2, 3]);
     assert_eq!(a.stride(), &[3, 1]);
@@ -447,8 +444,8 @@ fn full_i32(){
 }
 
 #[test]
-fn full_f64(){
-    let a = Tensor::full(3.2,vec![4, 6, 2]);
+fn full_f64() {
+    let a = Tensor::full(3.2, vec![4, 6, 2]);
     assert_eq!(a.shape(), &[4, 6, 2]);
     let b = a.flatten();
     let b_len = *b.len();
@@ -458,8 +455,8 @@ fn full_f64(){
 }
 
 #[test]
-fn full_bool(){
-    let a: Tensor<bool> = Tensor::full(true,vec![3, 5, 3]);
+fn full_bool() {
+    let a: Tensor<bool> = Tensor::full(true, vec![3, 5, 3]);
     assert_eq!(a.shape(), &[3, 5, 3]);
     assert_eq!(a.stride(), &[15, 3, 1]);
     let b = a.flatten();
@@ -470,7 +467,7 @@ fn full_bool(){
 }
 
 #[test]
-fn ones_u8(){
+fn ones_u8() {
     let a: Tensor<u8> = Tensor::ones(vec![3, 5, 3]);
     assert_eq!(a.shape(), &[3, 5, 3]);
     assert_eq!(a.stride(), &[15, 3, 1]);
@@ -482,7 +479,7 @@ fn ones_u8(){
 }
 
 #[test]
-fn ones_i32(){
+fn ones_i32() {
     let a: Tensor<i32> = Tensor::ones(vec![3, 5, 3]);
     assert_eq!(a.shape(), &[3, 5, 3]);
     assert_eq!(a.stride(), &[15, 3, 1]);
@@ -494,7 +491,7 @@ fn ones_i32(){
 }
 
 #[test]
-fn ones_1d(){
+fn ones_1d() {
     let a: Tensor<u8> = Tensor::ones(vec![4]);
     assert_eq!(a.shape(), &[4]);
     let a_len = *a.len();
@@ -504,7 +501,7 @@ fn ones_1d(){
 }
 
 #[test]
-fn ones_f64(){
+fn ones_f64() {
     let a: Tensor<f64> = Tensor::ones(vec![4]);
     assert_eq!(a.shape(), &[4]);
     let a_len = *a.len();
@@ -514,7 +511,7 @@ fn ones_f64(){
 }
 
 #[test]
-fn ones_bool(){
+fn ones_bool() {
     let a: Tensor<bool> = Tensor::ones(vec![3, 5, 3]);
     assert_eq!(a.shape(), &[3, 5, 3]);
     assert_eq!(a.stride(), &[15, 3, 1]);
@@ -526,7 +523,7 @@ fn ones_bool(){
 }
 
 #[test]
-fn zeroes_u8(){
+fn zeroes_u8() {
     let a: Tensor<u8> = Tensor::zeros(vec![3, 5, 3]);
     assert_eq!(a.shape(), &[3, 5, 3]);
     assert_eq!(a.stride(), &[15, 3, 1]);
@@ -538,7 +535,7 @@ fn zeroes_u8(){
 }
 
 #[test]
-fn zeroes_i32(){
+fn zeroes_i32() {
     let a: Tensor<i32> = Tensor::zeros(vec![3, 5, 3]);
     assert_eq!(a.shape(), &[3, 5, 3]);
     assert_eq!(a.stride(), &[15, 3, 1]);
@@ -550,7 +547,7 @@ fn zeroes_i32(){
 }
 
 #[test]
-fn zeroes_1d(){
+fn zeroes_1d() {
     let a: Tensor<u8> = Tensor::zeros(vec![4]);
     assert_eq!(a.shape(), &[4]);
     let a_len = *a.len();
@@ -560,7 +557,7 @@ fn zeroes_1d(){
 }
 
 #[test]
-fn zeroes_f64(){
+fn zeroes_f64() {
     let a: Tensor<f64> = Tensor::zeros(vec![4]);
     assert_eq!(a.shape(), &[4]);
     let a_len = *a.len();
@@ -570,7 +567,7 @@ fn zeroes_f64(){
 }
 
 #[test]
-fn zeroes_bool(){
+fn zeroes_bool() {
     let a: Tensor<bool> = Tensor::zeros(vec![3, 5, 3]);
     assert_eq!(a.shape(), &[3, 5, 3]);
     assert_eq!(a.stride(), &[15, 3, 1]);
@@ -579,4 +576,167 @@ fn zeroes_bool(){
     for i in 0..b_len {
         assert_eq!(b[i], false);
     }
-}
\ No newline at end of file
+}
+
+#[test]
+fn basic_iteration() {
+    let a = Tensor::from([[1, 2, 3], [4, 5, 6]]);
+    // println!("{:?}", a.shape());
+    for row in a.iter(Axis(0)) {
+        print!("{:?} ", row[0]);
+        print!("{:?} ", row[1]);
+        println!("{:?}", row[2]);
+    }
+}
+
+#[test]
+fn single_dimension_iteration() {
+    let a = Tensor::from([1, 2, 3, 4, 5, 6]);
+    // println!("{:?}", a.shape());
+    let v_iter: Vec<_> = a.iter(Axis(0)).collect();
+    println!("{:?}", v_iter);
+}
+
+#[test]
+fn three_dimension_iteration() {
+    let a = Tensor::from([
+        [[10, 11, 12], [13, 14, 15]],
+        [[16, 17, 18], [19, 20, 21]],
+        [[22, 23, 24], [25, 26, 27]],
+    ]);
+
+    // a.shape() = [3, 2, 3]
+    // a.stride() = [6, 3, 1]
+
+    // for t in a.iter(Axis(0)) {
+    //     print!("{:?} ", t[[0, 0]]);
+    //     print!("{:?} ", t[[0, 1]]);
+    //     println!("{:?} ", t[[0, 2]]);
+    //
+    //     print!("{:?} ", t[[1, 0]]);
+    //     print!("{:?} ", t[[1, 1]]);
+    //     println!("{:?} ", t[[1, 2]]);
+    //
+    //     println!();
+    // }
+
+    // for t in a.iter(Axis(1)){
+    //     print!("{:?} ", t[[0, 0]]);
+    //     print!("{:?} ", t[[0, 1]]);
+    //     println!("{:?} ", t[[0, 2]]);
+    //
+    //     print!("{:?} ", t[[1, 0]]);
+    //     print!("{:?} ", t[[1, 1]]);
+    //     println!("{:?} ", t[[1, 2]]);
+    //
+    //     print!("{:?} ", t[[2, 0]]);
+    //     print!("{:?} ", t[[2, 1]]);
+    //     println!("{:?} ", t[[2, 2]]);
+    //     println!();
+    // }
+
+    for t in a.iter(Axis(2)){
+        println!("{:?} ", t.shape());
+
+        print!("{:?} ", t[[0, 0]]);
+        println!("{:?} ", t[[0, 1]]);
+
+        print!("{:?} ", t[[1, 0]]);
+        println!("{:?} ", t[[1, 1]]);
+
+        print!("{:?} ", t[[2, 0]]);
+        println!("{:?} ", t[[2, 1]]);
+        println!();
+    }
+}
+
+#[test]
+fn four_dimension_iteration() {
+    let a = [
+        [
+            [[1, 2, 3], [4, 5, 6]],
+            [[7, 8, 9], [10, 11, 12]],
+            [[13, 14, 15], [16, 17, 18]],
+            [[19, 20, 21], [22, 23, 24]],
+        ],
+        [
+            [[25, 26, 27], [28, 29, 30]],
+            [[31, 32, 33], [34, 35, 36]],
+            [[37, 38, 39], [40, 41, 42]],
+            [[43, 44, 45], [46, 47, 48]],
+        ],
+        [
+            [[49, 50, 51], [52, 53, 54]],
+            [[55, 56, 57], [58, 59, 60]],
+            [[61, 62, 63], [64, 65, 66]],
+            [[67, 68, 69], [70, 71, 72]],
+        ],
+    ];
+
+    let tensor = Tensor::from(a);
+
+    println!("{:?}", tensor.shape());
+    println!("{:?}", tensor.stride());
+
+    for t in tensor.iter(Axis(0)){
+        print!("{:?} ", t[[0, 0, 0]]);
+        print!("{:?} ", t[[0, 0, 1]]);
+        print!("{:?} ", t[[0, 0, 2]]);
+
+        print!("{:?} ", t[[0, 1, 0]]);
+        print!("{:?} ", t[[0, 1, 1]]);
+        print!("{:?} ", t[[0, 1, 2]]);
+
+        print!("{:?} ", t[[1, 0, 0]]);
+        print!("{:?} ", t[[1, 0, 1]]);
+        print!("{:?} ", t[[1, 0, 2]]);
+
+        print!("{:?} ", t[[1, 1, 0]]);
+        print!("{:?} ", t[[1, 1, 1]]);
+        print!("{:?} ", t[[1, 1, 2]]);
+
+        print!("{:?} ", t[[2, 0, 0]]);
+        print!("{:?} ", t[[2, 0, 1]]);
+        print!("{:?} ", t[[2, 0, 2]]);
+
+        print!("{:?} ", t[[2, 1, 0]]);
+        print!("{:?} ", t[[2, 1, 1]]);
+        print!("{:?} ", t[[2, 1, 2]]);
+
+        print!("{:?} ", t[[3, 0, 0]]);
+        print!("{:?} ", t[[3, 0, 1]]);
+        print!("{:?} ", t[[3, 0, 2]]);
+
+        print!("{:?} ", t[[3, 1, 0]]);
+        print!("{:?} ", t[[3, 1, 1]]);
+        print!("{:?} ", t[[3, 1, 2]]);
+
+        println!();
+
+    }
+
+    // for t in tensor.iter(Axis(1)) {
+    //     print!("{:?} ", t[[0, 0, 0]]);
+    //     print!("{:?} ", t[[0, 0, 1]]);
+    //     print!("{:?} ", t[[0, 0, 2]]);
+    //     print!("{:?} ", t[[0, 1, 0]]);
+    //     print!("{:?} ", t[[0, 1, 1]]);
+    //     print!("{:?} ", t[[0, 1, 2]]);
+    //
+    //     print!("{:?} ", t[[1, 0, 0]]);
+    //     print!("{:?} ", t[[1, 0, 1]]);
+    //     print!("{:?} ", t[[1, 0, 2]]);
+    //     print!("{:?} ", t[[1, 1, 0]]);
+    //     print!("{:?} ", t[[1, 1, 1]]);
+    //     print!("{:?} ", t[[1, 1, 2]]);
+    //
+    //     print!("{:?} ", t[[2, 0, 0]]);
+    //     print!("{:?} ", t[[2, 0, 1]]);
+    //     print!("{:?} ", t[[2, 0, 2]]);
+    //     print!("{:?} ", t[[2, 1, 0]]);
+    //     print!("{:?} ", t[[2, 1, 1]]);
+    //     print!("{:?} ", t[[2, 1, 2]]);
+    //
+    //     println!();
+    // }
+}

From f9d50287b56bfebb778c11927b20c16e7961fc6a Mon Sep 17 00:00:00 2001
From: Aman-Amith-Shastry <amanshastrychess@gmail.com>
Date: Sun, 12 Jan 2025 09:48:37 -0500
Subject: [PATCH 2/8] Performance testing for ones constructor

---
 Cargo.toml                                    |   7 ++--
 benches/flat_iter_f32.py                      |  33 ------------------
 benches/flat_iter_f32.rs                      |  20 -----------
 benches/{zeroes_f32.py => ones_f32.py}        |  10 +++---
 benches/{zeroes_f32.rs => ones_f32.rs}        |   5 ++-
 .../__pycache__/profile.cpython-311.pyc       | Bin 3390 -> 3390 bytes
 .../__pycache__/suite.cpython-311.pyc         | Bin 3154 -> 3459 bytes
 .../__pycache__/util.cpython-311.pyc          | Bin 1593 -> 1953 bytes
 benches/perfprofiler/profile.py               |   1 -
 benches/perfprofiler/suite.py                 |   4 +++
 benches/perfprofiler/util.py                  |   4 +++
 11 files changed, 16 insertions(+), 68 deletions(-)
 delete mode 100644 benches/flat_iter_f32.py
 delete mode 100644 benches/flat_iter_f32.rs
 rename benches/{zeroes_f32.py => ones_f32.py} (64%)
 rename benches/{zeroes_f32.rs => ones_f32.rs} (75%)

diff --git a/Cargo.toml b/Cargo.toml
index e6c593d..429a4e5 100644
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -8,12 +8,9 @@ name = "fill_f32"
 path = "benches/fill_f32.rs"
 
 [[bin]]
-name = "zeroes_f32"
-path = "benches/zeroes_f32.rs"
+name = "ones_f32"
+path = "benches/ones_f32.rs"
 
-[[bin]]
-name = "flat_iter_f32"
-path = "benches/flat_iter_f32.rs"
 
 [dependencies]
 cpu-time = "1.0.0"
diff --git a/benches/flat_iter_f32.py b/benches/flat_iter_f32.py
deleted file mode 100644
index 1a2f71a..0000000
--- a/benches/flat_iter_f32.py
+++ /dev/null
@@ -1,33 +0,0 @@
-import numpy as np
-import torch
-
-from perfprofiler import *
-
-
-class TensorFlatIter(TimingSuite):
-    def __init__(self, n):
-        self.n = n
-
-        self.ndarray: np.ndarray = np.zeros(n, dtype="float32")
-        self.tensor_cpu = torch.zeros(n, dtype=torch.float32)
-
-    @measure_performance("NumPy")
-    def run(self):
-        for e in self.ndarray.flat:
-            pass
-
-
-    @measure_performance("PyTorch CPU")
-    def run(self):
-        for e in self.tensor_cpu.flatten():
-            pass
-
-    @measure_rust_performance("Chela CPU", target="flat_iter_f32")
-    def run(self, executable):
-        return self.run_rust(executable, self.n)
-
-
-if __name__ == "__main__":
-    sizes = [2 ** n for n in range(9, 25)]
-    results = TensorFlatIter.profile_each(sizes, n=10)
-    plot_results(sizes, results, "tensor.flat_iter() CPU time vs length")
diff --git a/benches/flat_iter_f32.rs b/benches/flat_iter_f32.rs
deleted file mode 100644
index 26d6027..0000000
--- a/benches/flat_iter_f32.rs
+++ /dev/null
@@ -1,20 +0,0 @@
-use chela::*;
-use std::env;
-
-use cpu_time::ProcessTime;
-
-
-fn profile(size: usize) -> u128 {
-    let mut tensor: Tensor<f32> = Tensor::zeros(size);
-
-    let start = ProcessTime::now();
-    for _ in tensor.flatiter(){}
-    start.elapsed().as_nanos()
-}
-
-fn main() {
-    let args: Vec<String> = env::args().collect();
-    let size = args[1].parse::<usize>().unwrap();
-
-    println!("{}", profile(size));
-}
diff --git a/benches/zeroes_f32.py b/benches/ones_f32.py
similarity index 64%
rename from benches/zeroes_f32.py
rename to benches/ones_f32.py
index 8520f81..0d807d2 100644
--- a/benches/zeroes_f32.py
+++ b/benches/ones_f32.py
@@ -3,10 +3,8 @@
 
 from perfprofiler import *
 
-class TensorZeroes(TimingSuite):
+class TensorOnes(TimingSuite):
     def __init__(self, n):
-        self.tensor_cpu = None
-        self.ndarray = None
         self.n = n
 
     @measure_performance("NumPy")
@@ -17,11 +15,11 @@ def run(self):
     def run(self):
         self.tensor_cpu = torch.zeros(self.n, dtype=torch.float32)
 
-    @measure_rust_performance("Chela CPU", target="zeroes_f32")
+    @measure_rust_performance("Chela CPU", target="ones_f32")
     def run(self, executable):
         return self.run_rust(executable, self.n)
 
 if __name__ == "__main__":
     sizes = [2 ** n for n in range(9, 25)]
-    results = TensorZeroes.profile_each(sizes, n=10)
-    plot_results(sizes, results, "tensor.zeroes() CPU time vs length")
\ No newline at end of file
+    results = TensorOnes.profile_each(sizes, n=10)
+    plot_results(sizes, results, "tensor.ones() CPU time vs length")
\ No newline at end of file
diff --git a/benches/zeroes_f32.rs b/benches/ones_f32.rs
similarity index 75%
rename from benches/zeroes_f32.rs
rename to benches/ones_f32.rs
index 18f6fdc..e667eaf 100644
--- a/benches/zeroes_f32.rs
+++ b/benches/ones_f32.rs
@@ -1,11 +1,10 @@
 use chela::*;
 use std::env;
-
 use cpu_time::ProcessTime;
 
 fn profile(size: usize) -> u128 {
     let start = ProcessTime::now();
-    let mut tensor: Tensor<f32> = Tensor::zeros(size);
+    let tensor: Tensor<f32> = Tensor::ones(size);
     start.elapsed().as_nanos()
 }
 
@@ -13,5 +12,5 @@ fn main() {
     let args: Vec<String> = env::args().collect();
     let size = args[1].parse::<usize>().unwrap();
 
-    println!("{}", profile(size));
+   println!("{}", profile(size));
 }
\ No newline at end of file
diff --git a/benches/perfprofiler/__pycache__/profile.cpython-311.pyc b/benches/perfprofiler/__pycache__/profile.cpython-311.pyc
index 616703a470b705761bcd331031b57c1c77885715..6fdfe17743c15be67e8dc4f25d9159ee96ad4357 100644
GIT binary patch
delta 44
vcmdldwNHw7IWI340}!xWYfj&=kynOSREmK|@q&`g1uokLb`UI514;t`0Nx6+

delta 44
vcmdldwNHw7IWI340}vb*sz~3skynOSREB{^@q&`g1uokLb`UI514;t`01XPI

diff --git a/benches/perfprofiler/__pycache__/suite.cpython-311.pyc b/benches/perfprofiler/__pycache__/suite.cpython-311.pyc
index 616345b942ab848309e82e4457a23a4abc5d9eb8..c26216db1de87476d925d49e36b39ce5b246f9e9 100644
GIT binary patch
delta 509
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delta 343
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diff --git a/benches/perfprofiler/__pycache__/util.cpython-311.pyc b/benches/perfprofiler/__pycache__/util.cpython-311.pyc
index a747f57e30d429ecb92ee58951b144e577c840a0..b8de221992c14cadfd550cfbc012007f2cfe5c95 100644
GIT binary patch
delta 340
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delta 157
zcmZ3;zmtb|IWI340}yC^C`wP6$ScX{Fi~Ack|mWnjVXn#g(ZqLogsyN5n~iv3S%&X
zCdbB_5N1Zr$rqXRfg~e~8l&uF4VJda_gRw|B_}(vX|pN;%@Uqm#Ad7}3uG06xSH%m
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diff --git a/benches/perfprofiler/profile.py b/benches/perfprofiler/profile.py
index a25d7fb..6a21e07 100644
--- a/benches/perfprofiler/profile.py
+++ b/benches/perfprofiler/profile.py
@@ -59,5 +59,4 @@ def wrapper(self, *args, **kwargs):
 
     return decorator
 
-
 __all__ = ["measure_performance", "measure_rust_performance"]
diff --git a/benches/perfprofiler/suite.py b/benches/perfprofiler/suite.py
index 7e0f415..139a1fa 100644
--- a/benches/perfprofiler/suite.py
+++ b/benches/perfprofiler/suite.py
@@ -27,6 +27,10 @@ def run_rust(self, executable, *argv) -> float:
         value = subprocess.check_output(f"{executable} {''.join(map(str, argv))}", shell=True)
         return int(value)
 
+    def run_cpp(self, executable, *argv) -> float:
+        value = subprocess.check_output(f"{executable} {''.join(map(str, argv))}", shell=True)
+        return int(value)
+
     def profile(*args, **kwargs) -> dict[str, Result]:
         raise NotImplementedError()  # implemented by TimingSuiteMeta
 
diff --git a/benches/perfprofiler/util.py b/benches/perfprofiler/util.py
index c2cc00e..960f5c2 100644
--- a/benches/perfprofiler/util.py
+++ b/benches/perfprofiler/util.py
@@ -15,6 +15,10 @@ def compile_rust(target: str) -> str:
     out = out.split(b"\n")[-3]
     return json.loads(out)["executable"]
 
+def compile_cpp(target: str) -> str:
+    out = subprocess.check_output(f"")
+    out = out.split(b"\n")[-3]
+    return json.loads(out)["executable"]
 
 def get_method_class(method) -> str:
     return method.__qualname__.split(".")[0]

From 20c4e36122b0283089049d745caf265b731f1139 Mon Sep 17 00:00:00 2001
From: Aman-Amith-Shastry <amanshastrychess@gmail.com>
Date: Sun, 12 Jan 2025 10:01:39 -0500
Subject: [PATCH 3/8] Removed pycache directory, merged Cargo.toml file

---
 benches/ones_f32.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/benches/ones_f32.py b/benches/ones_f32.py
index 0d807d2..d4736dc 100644
--- a/benches/ones_f32.py
+++ b/benches/ones_f32.py
@@ -9,11 +9,11 @@ def __init__(self, n):
 
     @measure_performance("NumPy")
     def run(self):
-        self.ndarray = np.zeros(self.n, dtype="float32")
+        np.ones(self.n, dtype="float32")
 
     @measure_performance("PyTorch CPU")
     def run(self):
-        self.tensor_cpu = torch.zeros(self.n, dtype=torch.float32)
+        torch.ones(self.n, dtype=torch.float32)
 
     @measure_rust_performance("Chela CPU", target="ones_f32")
     def run(self, executable):

From aaeac21ef481eec199847f9d1616152e3110c085 Mon Sep 17 00:00:00 2001
From: Aman Shastry <73488475+Aman-Amith-Shastry@users.noreply.github.com>
Date: Sun, 12 Jan 2025 10:06:49 -0500
Subject: [PATCH 4/8] Delete benches/perfprofiler/__pycache__ directory

Signed-off-by: Aman Shastry <73488475+Aman-Amith-Shastry@users.noreply.github.com>
---
 .../__pycache__/__init__.cpython-311.pyc         | Bin 260 -> 0 bytes
 .../__pycache__/plot.cpython-311.pyc             | Bin 2537 -> 0 bytes
 .../__pycache__/profile.cpython-311.pyc          | Bin 3390 -> 0 bytes
 .../__pycache__/result.cpython-311.pyc           | Bin 1424 -> 0 bytes
 .../__pycache__/suite.cpython-311.pyc            | Bin 3459 -> 0 bytes
 .../__pycache__/util.cpython-311.pyc             | Bin 1953 -> 0 bytes
 6 files changed, 0 insertions(+), 0 deletions(-)
 delete mode 100644 benches/perfprofiler/__pycache__/__init__.cpython-311.pyc
 delete mode 100644 benches/perfprofiler/__pycache__/plot.cpython-311.pyc
 delete mode 100644 benches/perfprofiler/__pycache__/profile.cpython-311.pyc
 delete mode 100644 benches/perfprofiler/__pycache__/result.cpython-311.pyc
 delete mode 100644 benches/perfprofiler/__pycache__/suite.cpython-311.pyc
 delete mode 100644 benches/perfprofiler/__pycache__/util.cpython-311.pyc

diff --git a/benches/perfprofiler/__pycache__/__init__.cpython-311.pyc b/benches/perfprofiler/__pycache__/__init__.cpython-311.pyc
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From: Aman Shastry <73488475+Aman-Amith-Shastry@users.noreply.github.com>
Date: Sun, 12 Jan 2025 10:07:05 -0500
Subject: [PATCH 5/8] Delete profile/perfprofiler/__pycache__ directory

Signed-off-by: Aman Shastry <73488475+Aman-Amith-Shastry@users.noreply.github.com>
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From 50e8c020687ef2c249fefe09c0510480fd68c43f Mon Sep 17 00:00:00 2001
From: Aman-Amith-Shastry <amanshastrychess@gmail.com>
Date: Sun, 12 Jan 2025 10:14:14 -0500
Subject: [PATCH 6/8] Removed cpp run and compile functions

---
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diff --git a/benches/perfprofiler/__pycache__/util.cpython-311.pyc b/benches/perfprofiler/__pycache__/util.cpython-311.pyc
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GIT binary patch
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diff --git a/benches/perfprofiler/suite.py b/benches/perfprofiler/suite.py
index 139a1fa..7e0f415 100644
--- a/benches/perfprofiler/suite.py
+++ b/benches/perfprofiler/suite.py
@@ -27,10 +27,6 @@ def run_rust(self, executable, *argv) -> float:
         value = subprocess.check_output(f"{executable} {''.join(map(str, argv))}", shell=True)
         return int(value)
 
-    def run_cpp(self, executable, *argv) -> float:
-        value = subprocess.check_output(f"{executable} {''.join(map(str, argv))}", shell=True)
-        return int(value)
-
     def profile(*args, **kwargs) -> dict[str, Result]:
         raise NotImplementedError()  # implemented by TimingSuiteMeta
 
diff --git a/benches/perfprofiler/util.py b/benches/perfprofiler/util.py
index 960f5c2..2bb704f 100644
--- a/benches/perfprofiler/util.py
+++ b/benches/perfprofiler/util.py
@@ -15,11 +15,6 @@ def compile_rust(target: str) -> str:
     out = out.split(b"\n")[-3]
     return json.loads(out)["executable"]
 
-def compile_cpp(target: str) -> str:
-    out = subprocess.check_output(f"")
-    out = out.split(b"\n")[-3]
-    return json.loads(out)["executable"]
-
 def get_method_class(method) -> str:
     return method.__qualname__.split(".")[0]
 
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diff --git a/profile/perfprofiler/__pycache__/util.cpython-311.pyc b/profile/perfprofiler/__pycache__/util.cpython-311.pyc
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From 0891d9f356688bf4cfa5756c4d94658fa4a3cba1 Mon Sep 17 00:00:00 2001
From: Aman Shastry <73488475+Aman-Amith-Shastry@users.noreply.github.com>
Date: Sun, 12 Jan 2025 10:30:04 -0500
Subject: [PATCH 7/8] Delete benches/perfprofiler/.DS_Store

Signed-off-by: Aman Shastry <73488475+Aman-Amith-Shastry@users.noreply.github.com>
---
 benches/perfprofiler/.DS_Store | Bin 6148 -> 0 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 delete mode 100644 benches/perfprofiler/.DS_Store

diff --git a/benches/perfprofiler/.DS_Store b/benches/perfprofiler/.DS_Store
deleted file mode 100644
index e83c9471d9e4f6669ecdfca7167ed21fc836a391..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 6148
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From c1f6c2114b24914e1e76ad184696bddda8d0b223 Mon Sep 17 00:00:00 2001
From: Aman Shastry <73488475+Aman-Amith-Shastry@users.noreply.github.com>
Date: Sun, 12 Jan 2025 10:30:26 -0500
Subject: [PATCH 8/8] Delete profile/perfprofiler/.DS_Store

Signed-off-by: Aman Shastry <73488475+Aman-Amith-Shastry@users.noreply.github.com>
---
 profile/perfprofiler/.DS_Store | Bin 6148 -> 0 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 delete mode 100644 profile/perfprofiler/.DS_Store

diff --git a/profile/perfprofiler/.DS_Store b/profile/perfprofiler/.DS_Store
deleted file mode 100644
index 5008ddfcf53c02e82d7eee2e57c38e5672ef89f6..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 6148
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