From 6667a6960b0c003bcdfc1cfa82792a3431ba4d16 Mon Sep 17 00:00:00 2001
From: luzhisheng <aiyingfeng110@qq.com>
Date: Fri, 21 Apr 2023 15:15:07 +0800
Subject: [PATCH] =?UTF-8?q?02pytorch=E5=9F=BA=E7=A1=80=E8=AF=AD=E6=B3=95?=
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---
 机器学习/02pytorch基础语法/__init__.py          |  0
 .../02pytorch基础语法/创建一个浮点数张量.py     |  5 +++++
 机器学习/02pytorch基础语法/创建一个空张量.py    |  4 ++++
 机器学习/02pytorch基础语法/创建值1填充的张量.py |  4 ++++
 机器学习/02pytorch基础语法/创建随机张量.py      |  5 +++++
 .../判断用的是cpu运算还是gpu运算.py             |  4 ++++
 机器学习/02pytorch基础语法/张量.py              | 13 +++++++++++++
 .../02pytorch基础语法/张量和nump数组之间转换.py |  8 ++++++++
 机器学习/02pytorch基础语法/张量数据合并拉升.py  | 17 +++++++++++++++++
 机器学习/02pytorch基础语法/张量求最大值.py      | 17 +++++++++++++++++
 机器学习/02pytorch基础语法/张量的切片操作.py    | 14 ++++++++++++++
 机器学习/02pytorch基础语法/张量的计算.py        | 11 +++++++++++
 机器学习/02pytorch基础语法/张量的轴交换.py      | 17 +++++++++++++++++
 机器学习/02pytorch基础语法/数据类型转换一.py    |  9 +++++++++
 机器学习/02pytorch基础语法/数据类型转换二.py    | 12 ++++++++++++
 机器学习/02pytorch基础语法/获取张量形状.py      | 11 +++++++++++
 16 files changed, 151 insertions(+)
 create mode 100644 机器学习/02pytorch基础语法/__init__.py
 create mode 100644 机器学习/02pytorch基础语法/创建一个浮点数张量.py
 create mode 100644 机器学习/02pytorch基础语法/创建一个空张量.py
 create mode 100644 机器学习/02pytorch基础语法/创建值1填充的张量.py
 create mode 100644 机器学习/02pytorch基础语法/创建随机张量.py
 create mode 100644 机器学习/02pytorch基础语法/判断用的是cpu运算还是gpu运算.py
 create mode 100644 机器学习/02pytorch基础语法/张量.py
 create mode 100644 机器学习/02pytorch基础语法/张量和nump数组之间转换.py
 create mode 100644 机器学习/02pytorch基础语法/张量数据合并拉升.py
 create mode 100644 机器学习/02pytorch基础语法/张量求最大值.py
 create mode 100644 机器学习/02pytorch基础语法/张量的切片操作.py
 create mode 100644 机器学习/02pytorch基础语法/张量的计算.py
 create mode 100644 机器学习/02pytorch基础语法/张量的轴交换.py
 create mode 100644 机器学习/02pytorch基础语法/数据类型转换一.py
 create mode 100644 机器学习/02pytorch基础语法/数据类型转换二.py
 create mode 100644 机器学习/02pytorch基础语法/获取张量形状.py

diff --git a/机器学习/02pytorch基础语法/__init__.py b/机器学习/02pytorch基础语法/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/机器学习/02pytorch基础语法/创建一个浮点数张量.py b/机器学习/02pytorch基础语法/创建一个浮点数张量.py
new file mode 100644
index 0000000..dab33ca
--- /dev/null
+++ b/机器学习/02pytorch基础语法/创建一个浮点数张量.py
@@ -0,0 +1,5 @@
+import torch
+
+# 在100~1000中随机整数
+t4 = torch.FloatTensor(2, 3, 4)
+print(t4)
diff --git a/机器学习/02pytorch基础语法/创建一个空张量.py b/机器学习/02pytorch基础语法/创建一个空张量.py
new file mode 100644
index 0000000..2569e3f
--- /dev/null
+++ b/机器学习/02pytorch基础语法/创建一个空张量.py
@@ -0,0 +1,4 @@
+import torch
+
+t4 = torch.empty((2, 2, 3))
+print(t4)
diff --git a/机器学习/02pytorch基础语法/创建值1填充的张量.py b/机器学习/02pytorch基础语法/创建值1填充的张量.py
new file mode 100644
index 0000000..2f7bf6c
--- /dev/null
+++ b/机器学习/02pytorch基础语法/创建值1填充的张量.py
@@ -0,0 +1,4 @@
+import torch
+
+t4 = torch.ones((2, 2, 3))
+print(t4)
diff --git a/机器学习/02pytorch基础语法/创建随机张量.py b/机器学习/02pytorch基础语法/创建随机张量.py
new file mode 100644
index 0000000..0b332b9
--- /dev/null
+++ b/机器学习/02pytorch基础语法/创建随机张量.py
@@ -0,0 +1,5 @@
+import torch
+
+# 在100~1000中随机整数
+t4 = torch.randint(low=100, high=1000, size=(2, 3, 4))
+print(t4)
diff --git a/机器学习/02pytorch基础语法/判断用的是cpu运算还是gpu运算.py b/机器学习/02pytorch基础语法/判断用的是cpu运算还是gpu运算.py
new file mode 100644
index 0000000..eb0c987
--- /dev/null
+++ b/机器学习/02pytorch基础语法/判断用的是cpu运算还是gpu运算.py
@@ -0,0 +1,4 @@
+import torch
+
+device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
+print(device)
diff --git a/机器学习/02pytorch基础语法/张量.py b/机器学习/02pytorch基础语法/张量.py
new file mode 100644
index 0000000..14de9c1
--- /dev/null
+++ b/机器学习/02pytorch基础语法/张量.py
@@ -0,0 +1,13 @@
+import torch
+import numpy as np
+
+list_1 = [
+    [1, 2, 3, 4, 5, 6],
+    [1, 2, 3, 4, 5, 6],
+    [1, 2, 3, 4, 5, 6],
+]
+print(list_1)
+print(np.array(list_1))
+
+# 张量
+print(torch.tensor(list_1))
diff --git a/机器学习/02pytorch基础语法/张量和nump数组之间转换.py b/机器学习/02pytorch基础语法/张量和nump数组之间转换.py
new file mode 100644
index 0000000..fb13044
--- /dev/null
+++ b/机器学习/02pytorch基础语法/张量和nump数组之间转换.py
@@ -0,0 +1,8 @@
+import torch
+
+
+t5 = torch.randint(low=100, high=1000, size=(2, 3, 4))
+print(t5.numpy())
+
+t6 = torch.tensor([[[[[[[[[[[100]]]]]]]]]]])
+print(t6.item())
diff --git a/机器学习/02pytorch基础语法/张量数据合并拉升.py b/机器学习/02pytorch基础语法/张量数据合并拉升.py
new file mode 100644
index 0000000..83362fb
--- /dev/null
+++ b/机器学习/02pytorch基础语法/张量数据合并拉升.py
@@ -0,0 +1,17 @@
+import torch
+
+
+list_8 = [[[792, 436, 928, 303],
+           [809, 170, 778, 652],
+           [967, 520, 419, 184]],
+
+          [[402, 754, 327, 979],
+           [713, 926, 879, 934],
+           [540, 953, 209, 369]]]
+t8 = torch.tensor(list_8)
+
+# 合并成单列单行
+print(t8.view(-1))
+
+# 拉升成4行6列
+print(t8.view(4, 6))
diff --git a/机器学习/02pytorch基础语法/张量求最大值.py b/机器学习/02pytorch基础语法/张量求最大值.py
new file mode 100644
index 0000000..ee099f1
--- /dev/null
+++ b/机器学习/02pytorch基础语法/张量求最大值.py
@@ -0,0 +1,17 @@
+import torch
+
+list_7 = [
+    [792, 436, 928, 303],
+    [809, 170, 778, 652],
+    [967, 520, 419, 184]
+]
+t7 = torch.tensor(list_7)
+
+# 求最大值
+print(t7.max())
+
+# 列求最大值
+print(t7.max(dim=0))
+
+# 行求最大值
+print(t7.max(dim=1))
diff --git a/机器学习/02pytorch基础语法/张量的切片操作.py b/机器学习/02pytorch基础语法/张量的切片操作.py
new file mode 100644
index 0000000..0a9b44a
--- /dev/null
+++ b/机器学习/02pytorch基础语法/张量的切片操作.py
@@ -0,0 +1,14 @@
+import torch
+
+list_10 = [[[792, 436, 928, 303],
+            [809, 170, 778, 652],
+            [967, 520, 419, 184]],
+           [[402, 754, 327, 979],
+            [713, 926, 879, 934],
+            [540, 953, 209, 369]]]
+t10 = torch.tensor(list_10)
+
+# 切第一个维度为1，其他维度不切
+print(t10[1:, :, :])
+
+print(t10[1:, 2:, 3].item())
diff --git a/机器学习/02pytorch基础语法/张量的计算.py b/机器学习/02pytorch基础语法/张量的计算.py
new file mode 100644
index 0000000..ac4e630
--- /dev/null
+++ b/机器学习/02pytorch基础语法/张量的计算.py
@@ -0,0 +1,11 @@
+import torch
+
+list_10 = [[[792, 436, 928, 303],
+            [809, 170, 778, 652],
+            [967, 520, 419, 184]],
+           [[402, 754, 327, 979],
+            [713, 926, 879, 934],
+            [540, 953, 209, 369]]]
+t10 = torch.tensor(list_10)
+
+print(t10*100)
diff --git a/机器学习/02pytorch基础语法/张量的轴交换.py b/机器学习/02pytorch基础语法/张量的轴交换.py
new file mode 100644
index 0000000..3eb09f1
--- /dev/null
+++ b/机器学习/02pytorch基础语法/张量的轴交换.py
@@ -0,0 +1,17 @@
+import torch
+
+list_9 = [[402, 754, 327, 979],
+          [713, 926, 879, 934],
+          [540, 953, 209, 369]]
+t9 = torch.tensor(list_9)
+
+# 轴交换，列变行，行变成列
+print(t9.size())
+# 1和0代表维度顺序
+t9 = t9.permute(1, 0)
+print(t9)
+print(t9.size())
+
+# 原维度是(2, 3, 4)，改变下标顺序(1, 0, 2)，变成了([3, 2, 4])
+t10 = torch.randint(low=100, high=1000, size=(2, 3, 4))
+print(t10.permute(1, 0, 2).size())
diff --git a/机器学习/02pytorch基础语法/数据类型转换一.py b/机器学习/02pytorch基础语法/数据类型转换一.py
new file mode 100644
index 0000000..8f318b5
--- /dev/null
+++ b/机器学习/02pytorch基础语法/数据类型转换一.py
@@ -0,0 +1,9 @@
+import torch
+
+list_2 = [
+    [127, 128, 129, 4, 5, 6],
+    [1, 2, 3, 4, 5, 6],
+    [1, 2, 3, 4, 5, 6],
+]
+t2 = torch.tensor(list_2, dtype=torch.int8)  # [-128 - 127]
+print(t2)
diff --git a/机器学习/02pytorch基础语法/数据类型转换二.py b/机器学习/02pytorch基础语法/数据类型转换二.py
new file mode 100644
index 0000000..5772795
--- /dev/null
+++ b/机器学习/02pytorch基础语法/数据类型转换二.py
@@ -0,0 +1,12 @@
+import torch
+
+
+list_2 = [
+    [127, 128, 3, 4, 5, 6],
+    [1, 2, 3, 4, 5, 6],
+    [1, 2, 3, 4, 5, 6],
+]
+t2 = torch.tensor(list_2)  # [-128 - 127]
+print(t2.int())
+print(t2.double())
+print(t2.double().dtype)
diff --git a/机器学习/02pytorch基础语法/获取张量形状.py b/机器学习/02pytorch基础语法/获取张量形状.py
new file mode 100644
index 0000000..c1de00d
--- /dev/null
+++ b/机器学习/02pytorch基础语法/获取张量形状.py
@@ -0,0 +1,11 @@
+import torch
+
+list_3 = [
+    [127, 128, 3, 4, 5, 6],
+    [1, 2, 3, 4, 5, 6],
+    [1, 2, 3, 4, 5, 6],
+]
+t3 = torch.tensor(list_3)  # [-128 - 127]
+print(t3.shape)
+print(t3.size())
+