Python convnet_available Examples

Example #1

File: stochastic_pool.py Project: gdesjardins/pylearn2_bio

    def make_thunk(self, node, storage_map, compute_map, no_recycling):
        if not convnet_available():
            raise RuntimeError('Could not compile cuda_convnet')

        return super(WeightedMaxPool,
                     self).make_thunk(node, storage_map, compute_map,
                                      no_recycling)

Example #2

File: pool.py Project: zizu1985/pylearn2

    def make_thunk(self, *args, **kwargs):
        """
        .. todo::

            WRITEME
        """
        if not convnet_available():
            raise RuntimeError('Could not compile cuda_convnet')

        return super(MaxPool, self).make_thunk(*args, **kwargs)

Example #3

File: pool.py Project: czotti/pylearn2

    def make_thunk(self, *args, **kwargs):
        """
        .. todo::

            WRITEME
        """
        if not convnet_available():
            raise RuntimeError('Could not compile cuda_convnet')

        return super(MaxPool, self).make_thunk(*args, **kwargs)

Example #4

File: probabilistic_max_pooling.py Project: Zhou42/DataMining-MachineLearning

    def make_thunk(self, node, storage_map, compute_map, no_recycling):
        """
        .. todo::
            WRITEME
        """
        if not convnet_available():
            raise RuntimeError('Could not compile cuda_convnet')

        return super(ProbMaxPoolGrad, self).make_thunk(
                node, storage_map, compute_map, no_recycling)

Example #5

File: pool.py Project: zizu1985/pylearn2

    def make_thunk(self, node, storage_map, compute_map, no_recycling):
        """
        .. todo::

            WRITEME
        """
        if not convnet_available():
            raise RuntimeError('Could not compile cuda_convnet')

        return super(MaxPoolGrad, self).make_thunk(node, storage_map,
                                                   compute_map, no_recycling)

Example #6

File: base_acts.py Project: dammyboy/pylearn2

    def make_thunk(self, node, storage_map, compute_map, no_recycling):
        if not convnet_available():
            raise RuntimeError('Could not compile cuda_convnet')

        return super(BaseActs, self).make_thunk(
                node, storage_map, storage_map, no_recycling)

Example #7

File: stochastic_pool.py Project: sonu5623/pylearn2

    def make_thunk(self, node, storage_map, compute_map, no_recycling):
        if not convnet_available():
            raise RuntimeError("Could not compile cuda_convnet")

        return super(WeightedMaxPool, self).make_thunk(node, storage_map, compute_map, no_recycling)

Example #8

File: base_acts.py Project: zizu1985/pylearn2

    def make_thunk(self, *args, **kwargs):
        if not convnet_available():
            raise RuntimeError('Could not compile cuda_convnet')

        return super(BaseActs, self).make_thunk(*args, **kwargs)

Example #9

File: base_acts.py Project: czotti/pylearn2

    def make_thunk(self, *args, **kwargs):
        if not convnet_available():
            raise RuntimeError('Could not compile cuda_convnet')

        return super(BaseActs, self).make_thunk(*args, **kwargs)