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Diffstat (limited to 'tensorflow/docs_src/programmers_guide/variables.md')
| -rw-r--r-- | tensorflow/docs_src/programmers_guide/variables.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/docs_src/programmers_guide/variables.md b/tensorflow/docs_src/programmers_guide/variables.md index a7b7db626a..0ccd2c4899 100644 --- a/tensorflow/docs_src/programmers_guide/variables.md +++ b/tensorflow/docs_src/programmers_guide/variables.md @@ -410,7 +410,7 @@ calling this function repeatedly would not work: ``` python input1 = tf.random_normal([1,10,10,32]) input2 = tf.random_normal([1,20,20,32]) -x = conv_relu(input1, kernel_shape=[5, 5, 32, 32], bias_shape=[32]) +x = conv_relu(input1, kernel_shape=[5, 5, 1, 32], bias_shape=[32]) x = conv_relu(x, kernel_shape=[5, 5, 32, 32], bias_shape = [32]) # This fails. ``` @@ -422,7 +422,7 @@ however, clarifies that we want to create new variables: def my_image_filter(input_images): with tf.variable_scope("conv1"): # Variables created here will be named "conv1/weights", "conv1/biases". - relu1 = conv_relu(input_images, [5, 5, 32, 32], [32]) + relu1 = conv_relu(input_images, [5, 5, 1, 32], [32]) with tf.variable_scope("conv2"): # Variables created here will be named "conv2/weights", "conv2/biases". return conv_relu(relu1, [5, 5, 32, 32], [32]) |