def conv2d(input, filters, input_shape=None, filter_shape=None,
           border_mode='valid', subsample=(1, 1), filter_flip=True,
           image_shape=None, **kwargs):

    if 'imshp_logical' in kwargs or 'kshp_logical' in kwargs:
        raise ValueError(
            "Keyword arguments 'imshp_logical' and 'kshp_logical' for conv2d "
            "are not supported anymore (and have not been a reliable way to "
            "perform upsampling). That feature is still available by calling "
            "theano.tensor.nnet.conv.conv2d() for the time being.")
    if len(kwargs.keys()) > 0:
        warnings.warn(str(kwargs.keys()) +
                      " are now deprecated in "
                      "`tensor.nnet.abstract_conv.conv2d` interface"
                      " and will be ignored.",
                      stacklevel=2)

    if image_shape is not None:
        warnings.warn("The `image_shape` keyword argument to "
                      "`tensor.nnet.conv2d` is deprecated, it has been "
                      "renamed to `input_shape`.",
                      stacklevel=2)
        if input_shape is None:
            input_shape = image_shape
        else:
            raise ValueError("input_shape and image_shape should not"
                             " be provided at the same time.")

    return abstract_conv2d(input, filters, input_shape, filter_shape,
                           border_mode, subsample, filter_flip)
Sends a command to the ISY that may be used in programs and/or scenes.
dataset/ETHPy150Open rizar/attention-lvcsr/libs/Theano/theano/tensor/nnet/__init__.py/conv2d--crossover with--dataset/ETHPy150Open UniversalDevicesInc/Polyglot/polyglot/nodeserver_api.py/PolyglotConnector.report_command