{"record":{"id":"89bf49ea3cde03ec","repo":"lllyasviel/style2paints","slug":"no-input-variables-found-for-layer-s-89bf49","errorCode":null,"errorMessage":"No input variables found for layer %s.","messagePattern":"No input variables found for layer (.+?)\\.","errorType":"exception","errorClass":"RuntimeError","httpStatus":null,"severity":"error","filePath":"V4.5/s2p_v45_server/Style2PaintsV45_source.py","lineNumber":51,"sourceCode":"\n\ndef norm_feature(x, core):\n    cs0 = tf.shape(core)[1]\n    cs1 = tf.shape(core)[2]\n    small = tf.image.resize_area(x, (cs0, cs1))\n    avged = tf.nn.avg_pool(tf.pad(small, [[0, 0], [2, 2], [2, 2], [0, 0]], 'REFLECT'), [1, 5, 5, 1], [1, 1, 1, 1],\n                           'VALID')\n    return tf.image.resize_bicubic(avged, tf.shape(x)[1:3])\n\n\ndef blur(x):\n    def layer(op):\n        def layer_decorated(self, *args, **kwargs):\n            # Automatically set a name if not provided.\n            name = kwargs.setdefault('name', self.get_unique_name(op.__name__))\n            # Figure out the layer inputs.\n            if len(self.terminals) == 0:\n                raise RuntimeError('No input variables found for layer %s.' % name)\n            elif len(self.terminals) == 1:\n                layer_input = self.terminals[0]\n            else:\n                layer_input = list(self.terminals)\n            # Perform the operation and get the output.\n            layer_output = op(self, layer_input, *args, **kwargs)\n            # Add to layer LUT.\n            self.layers[name] = layer_output\n            # This output is now the input for the next layer.\n            self.feed(layer_output)\n            # Return self for chained calls.\n            return self\n\n        return layer_decorated\n\n    class Smoother(object):\n        def __init__(self, inputs, filter_size, sigma):\n            self.inputs = inputs","sourceCodeStart":33,"sourceCodeEnd":69,"githubUrl":"https://github.com/lllyasviel/style2paints/blob/a0d164d6a8a69fa4a87139bcd193291057f4ca39/V4.5/s2p_v45_server/Style2PaintsV45_source.py#L33-L69","documentation":"Identical guard to smoother.py: the Style2PaintsV4.5 @layer decorator requires self.terminals to be non-empty before running an op, because terminals hold the current graph outputs that become the new layer's input. An empty terminals stack means the network graph was never seeded, so the op cannot be applied.","triggerScenarios":"Invoking any decorated layer method on a newly created Style2PaintsV45 Network before feed() or an input-producing op has populated terminals — e.g. starting the build sequence with conv/upsample instead of the input/setup step.","commonSituations":"Reordering code so a layer call precedes the feed/setup call; an exception earlier in setup() leaving the graph unseeded; copying partial build code that omitted the input definition.","solutions":["Call net.feed(...) or the setup()/input step before any other layer call","Check that no earlier exception in the build path silently left terminals empty","Feed the correct starting tensor when building auxiliary subgraphs"],"exampleFix":"# before\nnet = Style2PaintsV45()\nnet.conv(...)  # RuntimeError: no input\n\n# after\nnet = Style2PaintsV45()\nnet.setup(...)  # or net.feed(input_tensor)\nnet.conv(...)","handlingStrategy":"try-catch","validationCode":"if len(net.terminals) == 0:\n    net.setup()  # or net.feed(input_tensor) before any layer call","typeGuard":null,"tryCatchPattern":"try:\n    net.conv(3, 64)\nexcept RuntimeError as e:\n    if 'No input variables found' in str(e):\n        net.setup()\n        net.conv(3, 64)\n    else:\n        raise","preventionTips":["Call setup()/feed() as the first statement after network construction","Verify build order in setup(): inputs first, then layers","Guard long build chains against swallowed earlier exceptions"],"tags":["tensorflow","network-builder","runtimeerror","graph-construction"],"backgroundTag":"no-input-variable-for-layer","analyzedSha":"a0d164d6a8a69fa4a87139bcd193291057f4ca39","analyzedAt":"2026-09-02T22:11:10.837Z","contentChangedAt":null,"schemaVersion":2},"datasetVersion":"2026-09-10T02:17:09.455Z"}