Create 455.py.space

455.py.space

@@ -0,0 +1,67 @@
+import torch
+import pandas as pd
+import numpy as np
+import matplotlib.pyplot as plt
+print(torch.__version__)
+
+scalar = torch.tensor(7)
+scalar
+
+scalar.ndim
+
+scalar.item()
+
+vector = torch.tensor([7, 7])
+
+vector.ndim
+
+vector.shape
+
+MATRIX = torch.tensor[[7, 8],[9, 10]]
+
+MATRIX
+
+MATRIX.ndim
+
+MATRIX[1]
+
+MATRIX.shape
+
+TENSOR = torch.tensor([[[1, 2, 3],
+[3, 6, 9],
+[2, 4, 5]]])
+
+TENSOR.ndim
+
+TENSOR.shape
+
+TENSOR[0]
+
+random_tensor = torch.rand(3, 4)
+random_tensor
+
+
+random_tensor.ndim
+
+random_image_size_tensor = torch.rand(size=(224, 224, 3))
+random_image_size_tensor.shape, random_image_size_tensor.ndim
+
+zeros = torch.zeros(size=(3, 4))
+zeros
+
+ones = torch.ones(size=(3, 4))
+ones
+
+ones.dtype
+
+random_tensor.dtype
+
+one_to_ten = torch.arange(start=1, end=11, step=1)
+
+ten_zeros = torch.zeros_like(input=one_to_ten)
+ten_zeros
+
+float_32_tensor - torch.tensor([3.0, 6.0, 9.0],
+dtype=None,
+device=None,
+requires_grad=False)