A bug in Keras?

Keras 1D and 2D.ipynb

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      "Using Theano backend.\n",
      "Using gpu device 0: GeForce GT 750M (CNMeM is enabled)\n",
      "/usr/local/lib/python2.7/site-packages/theano/tensor/signal/downsample.py:5: UserWarning: downsample module has been moved to the pool module.\n",
      "  warnings.warn(\"downsample module has been moved to the pool module.\")\n"
     ]
    }
   ],
   "source": [
    "import keras\n",
    "from keras.models import Sequential\n",
    "from keras.layers.core import Flatten\n",
    "from keras.layers.convolutional import Convolution1D, MaxPooling1D\n",
    "from keras.layers.convolutional import Convolution2D, MaxPooling2D"
   ]
  },
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     "text": [
      "--------------------------------------------------------------------------------\n",
      "Initial input shape: (None, 1, 28, 28)\n",
      "--------------------------------------------------------------------------------\n",
      "Layer (name)                  Output Shape                  Param #             \n",
      "--------------------------------------------------------------------------------\n",
      "Convolution2D (convolution2d) (None, 32, 28, 28)            320                 \n",
      "MaxPooling2D (maxpooling2d)   (None, 32, 14, 14)            0                   \n",
      "Convolution2D (convolution2d) (None, 32, 12, 12)            9248                \n",
      "MaxPooling2D (maxpooling2d)   (None, 32, 6, 6)              0                   \n",
      "--------------------------------------------------------------------------------\n",
      "Total params: 9568\n",
      "--------------------------------------------------------------------------------\n",
      "None\n",
      "--------------------------------------------------------------------------------\n",
      "Initial input shape: (None, 1, 28)\n",
      "--------------------------------------------------------------------------------\n",
      "Layer (name)                  Output Shape                  Param #             \n",
      "--------------------------------------------------------------------------------\n",
      "Convolution1D (convolution1d) (None, 1, 32)                 2720                \n",
      "MaxPooling1D (maxpooling1d)   (None, 0, 32)                 0                   \n",
      "Convolution1D (convolution1d) (None, -2, 32)                3104                \n",
      "MaxPooling1D (maxpooling1d)   (None, -1, 32)                0                   \n",
      "--------------------------------------------------------------------------------\n",
      "Total params: 5824\n",
      "--------------------------------------------------------------------------------\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "nb_filters = 32\n",
    "nb_conv = 3\n",
    "nb_pool = 2\n",
    "length = 28\n",
    "\n",
    "model = Sequential()\n",
    "model.add(Convolution2D(nb_filters, nb_conv, nb_conv,\n",
    "                        border_mode='same',\n",
    "                        input_shape=(1, length, length)))\n",
    "model.add(MaxPooling2D(pool_size=(nb_pool, nb_pool)))\n",
    "model.add(Convolution2D(nb_filters, nb_conv, nb_conv))\n",
    "model.add(MaxPooling2D(pool_size=(nb_pool, nb_pool)))\n",
    "print model.summary()\n",
    "\n",
    "model = Sequential()\n",
    "model.add(Convolution1D(nb_filters, nb_conv,\n",
    "                        border_mode='same',\n",
    "                        input_shape=(1, length)))\n",
    "model.add(MaxPooling1D(pool_length=nb_pool))\n",
    "model.add(Convolution1D(nb_filters, nb_conv))\n",
    "model.add(MaxPooling1D(pool_length=nb_pool))\n",
    "print model.summary()"
   ]
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Hi, I have a question. Suppose I have a dataframe of 23347 rows x 380 columns. What is the correct input_shape for Convolution1D? with (1, 380) and (None, 380), I can't get the model to compile.

But if I use (10, 380), my model compiles but I can't fit it.