回答編集履歴
2
d
test
CHANGED
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@@ -65,3 +65,43 @@
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65
65
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print(ret) # [ 0 2 4 6 8 10 12 14 16 18]
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66
66
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67
67
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```
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68
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+
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69
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+
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70
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71
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+
同様に tf.variable の初期値に numpy 配列を設定できます。
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72
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73
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74
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75
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```python
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76
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77
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import numpy as np
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78
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79
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import tensorflow as tf
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80
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81
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82
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83
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x = tf.placeholder(tf.int64, (10,))
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84
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85
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h = tf.Variable(np.arange(10))
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86
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87
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y = x + h
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88
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89
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90
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91
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data = np.arange(10)
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92
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93
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94
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95
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with tf.Session() as sess:
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96
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97
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# 初期化必須!
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98
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99
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sess.run(tf.global_variables_initializer())
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100
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101
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102
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103
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ret = sess.run(y, feed_dict={x: data})
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104
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105
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print(ret) # [ 0 2 4 6 8 10 12 14 16 18]
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106
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107
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```
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1
d
test
CHANGED
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@@ -48,7 +48,7 @@
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48
48
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49
49
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x = tf.placeholder(tf.int64, (10,))
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50
50
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51
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-
c = tf.constant(np.arange(10))
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51
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+
c = tf.constant(np.arange(10)) # numpy 配列から定数を作成する。
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52
52
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53
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y = x + c
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54
54
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