From d6656b139ae4607818152dd1046a06110b2c6734 Mon Sep 17 00:00:00 2001
From: ItayHadas <5610394+ItayHadas@users.noreply.github.com>
Date: Fri, 24 Feb 2023 11:07:28 -0800
Subject: [PATCH 1/3] blitz

---
 PyTorch_Blitz.py | 62 ++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 62 insertions(+)
 create mode 100644 PyTorch_Blitz.py

diff --git a/PyTorch_Blitz.py b/PyTorch_Blitz.py
new file mode 100644
index 00000000..1487c209
--- /dev/null
+++ b/PyTorch_Blitz.py
@@ -0,0 +1,62 @@
+import torch
+import numpy as np
+
+data = [[1, 2], [3, 4]]
+x_data = torch.tensor(data)
+
+np_array = np.array(data)
+x_np = torch.from_numpy(np_array)
+
+x_ones = torch.ones_like(x_data) # retains the properties of x_data
+print(f"Ones Tensor: \n {x_ones} \n")
+
+x_rand = torch.rand_like(x_data, dtype=torch.float) # overrides the datatype of x_data
+print(f"Random Tensor: \n {x_rand} \n")
+
+shape = (2, 3,)
+rand_tensor = torch.rand(shape)
+ones_tensor = torch.ones(shape)
+zeros_tensor = torch.zeros(shape)
+
+print(f"Random Tensor: \n {rand_tensor} \n")
+print(f"Ones Tensor: \n {ones_tensor} \n")
+print(f"Zeros Tensor: \n {zeros_tensor}")
+
+tensor = torch.rand(3, 4)
+
+print(f"Shape of tensor: {tensor.shape}")
+print(f"Datatype of tensor: {tensor.dtype}")
+print(f"Device tensor is stored on: {tensor.device}")
+
+if torch.cuda.is_available():
+  tensor = tensor.to('cuda')
+  print(f"Device tensor is stored on: {tensor.device}")
+
+tensor = torch.ones(4, 4)
+tensor[:,1] = 0
+print(tensor)
+
+tensor = torch.ones(4, 4)
+tensor[:,1] = 0
+print(tensor)
+
+t1 = torch.cat([tensor, tensor, tensor], dim=1)
+print(t1)
+
+# This computes the element-wise product
+print(f"tensor.mul(tensor) \n {tensor.mul(tensor)} \n")
+# Alternative syntax:
+print(f"tensor * tensor \n {tensor * tensor}")
+
+print(f"tensor.matmul(tensor.T) \n {tensor.matmul(tensor.T)} \n")
+# Alternative syntax:
+print(f"tensor @ tensor.T \n {tensor @ tensor.T}")
+
+print(tensor, "\n")
+tensor.add_(5)
+print(tensor)
+
+t = torch.ones(5)
+print(f"t: {t}")
+n = t.numpy()
+print(f"n: {n}")
\ No newline at end of file

From 4c32d04850549792a73ee22766fcaee3f8aa94c0 Mon Sep 17 00:00:00 2001
From: ItayHadas <5610394+ItayHadas@users.noreply.github.com>
Date: Fri, 24 Feb 2023 11:33:57 -0800
Subject: [PATCH 2/3] ubuntu_blitz

---
 PyTorch_Ubuntu_Blitz.py | 40 ++++++++++++++++++++++++++++++++++++++++
 1 file changed, 40 insertions(+)
 create mode 100644 PyTorch_Ubuntu_Blitz.py

diff --git a/PyTorch_Ubuntu_Blitz.py b/PyTorch_Ubuntu_Blitz.py
new file mode 100644
index 00000000..ad5b1aba
--- /dev/null
+++ b/PyTorch_Ubuntu_Blitz.py
@@ -0,0 +1,40 @@
+import torch
+import numpy as np
+
+data = [[1, 2], [3, 4]]
+x_data = torch.tensor(data)
+
+np_array = np.array(data)
+x_np = torch.from_numpy(np_array)
+
+x_ones = torch.ones_like(x_data) # retains the properties of x_data
+print(f"Ones Tensor: \n {x_ones} \n")
+
+x_rand = torch.rand_like(x_data, dtype=torch.float) # overrides the datatype of x_data
+print(f"Random Tensor: \n {x_rand} \n")
+
+shape = (2, 3,)
+rand_tensor = torch.rand(shape)
+ones_tensor = torch.ones(shape)
+zeros_tensor = torch.zeros(shape)
+
+print(f"Random Tensor: \n {rand_tensor} \n")
+print(f"Ones Tensor: \n {ones_tensor} \n")
+print(f"Zeros Tensor: \n {zeros_tensor}")
+
+tensor = torch.rand(3, 4)
+
+print(f"Shape of tensor: {tensor.shape}")
+print(f"Datatype of tensor: {tensor.dtype}")
+print(f"Device tensor is stored on: {tensor.device}")
+
+if torch.cuda.is_available():
+  tensor = tensor.to('cuda')
+  print(f"Device tensor is stored on: {tensor.device}")
+
+tensor = torch.ones(4, 4)
+tensor[:,1] = 0
+print(tensor)
+
+t1 = torch.cat([tensor, tensor, tensor], dim=1)
+print(t1)
\ No newline at end of file

From 8b42af5fb17a0faef1e6dabc180bebebf8b542d3 Mon Sep 17 00:00:00 2001
From: ItayHadas <5610394+ItayHadas@users.noreply.github.com>
Date: Fri, 24 Feb 2023 11:44:52 -0800
Subject: [PATCH 3/3] blitz

---
 PyTorch_Blitz.py => PyTorch_WSL_Blitz.py | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename PyTorch_Blitz.py => PyTorch_WSL_Blitz.py (100%)

diff --git a/PyTorch_Blitz.py b/PyTorch_WSL_Blitz.py
similarity index 100%
rename from PyTorch_Blitz.py
rename to PyTorch_WSL_Blitz.py