Commit ca0787cb authored by Amelie Royer's avatar Amelie Royer

Comment out calls to assert_variables_initialized: deprecated

parent da8767e2
...@@ -78,7 +78,7 @@ def conv(inp, name, filter_size, out_channels, stride=1, ...@@ -78,7 +78,7 @@ def conv(inp, name, filter_size, out_channels, stride=1,
else: else:
V, g, b = get_variable('V'), get_variable('g'), get_variable('b') V, g, b = get_variable('V'), get_variable('g'), get_variable('b')
tf.assert_variables_initialized([V, g, b]) #tf.assert_variables_initialized([V, g, b]) # Note: Soon to be deprecated
W = g[None, None, None] * tf.nn.l2_normalize(V, [0, 1, 2]) W = g[None, None, None] * tf.nn.l2_normalize(V, [0, 1, 2])
if dilation is None: if dilation is None:
out = tf.nn.conv2d(inp, W, strides, padding) + b[None, None, None] out = tf.nn.conv2d(inp, W, strides, padding) + b[None, None, None]
...@@ -117,7 +117,7 @@ def deconv(inp, name, filter_size, out_channels, stride=1, ...@@ -117,7 +117,7 @@ def deconv(inp, name, filter_size, out_channels, stride=1,
else: else:
V, g, b = get_variable('V'), get_variable('g'), get_variable('b') V, g, b = get_variable('V'), get_variable('g'), get_variable('b')
tf.assert_variables_initialized([V, g, b]) #tf.assert_variables_initialized([V, g, b]) # Note: Soon to be deprecated
W = g[None, None, :, None] * tf.nn.l2_normalize(V, [0, 1, 3]) W = g[None, None, :, None] * tf.nn.l2_normalize(V, [0, 1, 3])
out = tf.nn.conv2d_transpose(inp, W, target_shape, strides, padding) + b[None, None, None] out = tf.nn.conv2d_transpose(inp, W, target_shape, strides, padding) + b[None, None, None]
if nonlinearity is not None: if nonlinearity is not None:
......
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