{"action":"opened","issue":{"url":"https://api.github.com/repos/transcranial/keras-js/issues/79","repository_url":"https://api.github.com/repos/transcranial/keras-js","labels_url":"https://api.github.com/repos/transcranial/keras-js/issues/79/labels{/name}","comments_url":"https://api.github.com/repos/transcranial/keras-js/issues/79/comments","events_url":"https://api.github.com/repos/transcranial/keras-js/issues/79/events","html_url":"https://github.com/transcranial/keras-js/issues/79","id":247529189,"number":79,"title":"Convolution Layer error","user":{"login":"Reichenbachian","id":8087473,"avatar_url":"https://avatars0.githubusercontent.com/u/8087473?v=4","gravatar_id":"","url":"https://api.github.com/users/Reichenbachian","html_url":"https://github.com/Reichenbachian","followers_url":"https://api.github.com/users/Reichenbachian/followers","following_url":"https://api.github.com/users/Reichenbachian/following{/other_user}","gists_url":"https://api.github.com/users/Reichenbachian/gists{/gist_id}","starred_url":"https://api.github.com/users/Reichenbachian/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Reichenbachian/subscriptions","organizations_url":"https://api.github.com/users/Reichenbachian/orgs","repos_url":"https://api.github.com/users/Reichenbachian/repos","events_url":"https://api.github.com/users/Reichenbachian/events{/privacy}","received_events_url":"https://api.github.com/users/Reichenbachian/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2017-08-02T21:33:13Z","updated_at":"2017-08-02T21:33:13Z","closed_at":null,"body":"On a deep cnn, I'm getting the error \"Incompatible combination of dilation_rate with strides.\"\r\nThe model works without problems within keras. Is padding not implemented? Is there a workaround?\r\n\r\nArchitecture\r\n    model = Sequential()\r\n    model.add(Conv1D(32, 64, strides=2, padding='same', input_shape=inputshape))\r\n    model.add(BatchNormalization())\r\n    model.add(Activation('relu'))\r\n    model.add(MaxPooling1D(pool_size=8))\r\n\r\n    model.add(Conv1D(64, 32, strides=2, padding='same'))\r\n    model.add(BatchNormalization())\r\n    model.add(Activation('relu'))\r\n    model.add(MaxPooling1D(pool_size=8))\r\n\r\n    model.add(Conv1D(128, 16, strides=2, padding='same'))\r\n    model.add(BatchNormalization())\r\n    model.add(Activation('relu'))\r\n\r\n    model.add(Conv1D(256, 8, strides=2, padding='same'))\r\n    model.add(BatchNormalization())\r\n    model.add(Activation('relu'))\r\n\r\n    model.add(Flatten())\r\n    model.add(Dense(128))\r\n    model.add(Dropout(p=0.5))\r\n\r\nTensorflow==1.1.0\r\nKeras==2.0.4"}}
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