回答編集履歴
2
例にバージョン出力を追加
test
CHANGED
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@@ -48,11 +48,15 @@
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48
48
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49
49
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import tensorflow as tf
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50
50
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51
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+
print(tf.__version__)
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52
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+
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51
53
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a = tf.constant([1, 2, 3, 4], shape=[2, 2])
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52
54
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53
55
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b = tf.constant([5, 6, 7, 8], shape=[2, 2])
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54
56
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57
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#mu = tf.mul(a, b) # AttributeError: module 'tensorflow' has no attribute 'mul'
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58
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55
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-
mt = tf.multiply(a, b) # 要素毎
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59
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mt = tf.multiply(a, b) # 要素毎に乗算
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56
60
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57
61
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mm = tf.matmul(a, b) # 行列の乗算
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58
62
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@@ -72,6 +76,8 @@
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72
76
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73
77
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```
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74
78
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79
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1.0.0
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80
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+
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75
81
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[[1 2]
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76
82
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77
83
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[3 4]]
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1
例を追加
test
CHANGED
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@@ -1,4 +1,4 @@
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1
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-
`tf.mul`の代替は`tf.matmul`ではなく`tf.multiply`ではないでしょうか？
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1
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+
要素毎の乗算`tf.mul`の代替は行列の乗算`tf.matmul`ではなく`tf.multiply`ではないでしょうか？
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2
2
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3
3
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4
4
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@@ -39,3 +39,53 @@
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39
39
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Returns:
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40
40
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41
41
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A Tensor. Has the same type as x.
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42
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43
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44
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45
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例
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46
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47
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```Python
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48
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+
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49
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import tensorflow as tf
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50
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51
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a = tf.constant([1, 2, 3, 4], shape=[2, 2])
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52
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53
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b = tf.constant([5, 6, 7, 8], shape=[2, 2])
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54
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55
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mt = tf.multiply(a, b) # 要素毎の乗算
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56
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+
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57
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mm = tf.matmul(a, b) # 行列の乗算
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58
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59
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with tf.Session() as sess:
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60
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61
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print(a.eval())
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62
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63
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print(b.eval())
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64
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65
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print(mt.eval())
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66
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67
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print(mm.eval())
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68
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69
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```
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70
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+
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71
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結果
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72
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+
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73
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```
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74
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75
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[[1 2]
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76
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77
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[3 4]]
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78
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79
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[[5 6]
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80
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+
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81
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[7 8]]
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82
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+
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83
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[[ 5 12]
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84
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+
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85
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[21 32]]
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86
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+
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87
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[[19 22]
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88
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+
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89
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[43 50]]
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90
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+
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91
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```
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