:py:mod:`python.dgbpy.dgbkeras`
===============================

.. py:module:: python.dgbpy.dgbkeras


Module Contents
---------------


Functions
~~~~~~~~~

.. autoapisummary::

   python.dgbpy.dgbkeras.getMLPlatform
   python.dgbpy.dgbkeras.getUIMLPlatform
   python.dgbpy.dgbkeras.can_use_gpu
   python.dgbpy.dgbkeras.get_cpu_preference
   python.dgbpy.dgbkeras.get_keras_infos
   python.dgbpy.dgbkeras.set_compute_device
   python.dgbpy.dgbkeras.getParams
   python.dgbpy.dgbkeras.adaptive_schedule
   python.dgbpy.dgbkeras.get_data_format
   python.dgbpy.dgbkeras.hasValidCubeletShape
   python.dgbpy.dgbkeras.getCubeletShape
   python.dgbpy.dgbkeras.rm_tree
   python.dgbpy.dgbkeras.getLogDir
   python.dgbpy.dgbkeras.get_model_shape
   python.dgbpy.dgbkeras.getModelDims
   python.dgbpy.dgbkeras.getModelsByType
   python.dgbpy.dgbkeras.getModelsByInfo
   python.dgbpy.dgbkeras.getDefaultModel
   python.dgbpy.dgbkeras.train
   python.dgbpy.dgbkeras.updateModelShape
   python.dgbpy.dgbkeras.save
   python.dgbpy.dgbkeras.load
   python.dgbpy.dgbkeras.transfer
   python.dgbpy.dgbkeras.apply
   python.dgbpy.dgbkeras.adaptToModel
   python.dgbpy.dgbkeras.adaptFromModel
   python.dgbpy.dgbkeras.plot
   python.dgbpy.dgbkeras.compute_capability_from_device_desc
   python.dgbpy.dgbkeras.getDevicesInfo
   python.dgbpy.dgbkeras.is_gpu_ready
   python.dgbpy.dgbkeras.need_channels_last
   python.dgbpy.dgbkeras.get_validation_data



Attributes
~~~~~~~~~~

.. autoapisummary::

   python.dgbpy.dgbkeras.withtensorboard
   python.dgbpy.dgbkeras.withtensorboard
   python.dgbpy.dgbkeras.withaugmentation
   python.dgbpy.dgbkeras.withaugmentation
   python.dgbpy.dgbkeras.platform
   python.dgbpy.dgbkeras.cudacores
   python.dgbpy.dgbkeras.prefercpustr
   python.dgbpy.dgbkeras.defbatchstr
   python.dgbpy.dgbkeras.keras_dict


.. py:data:: withtensorboard
   :annotation: = True

   

.. py:data:: withtensorboard
   

   

.. py:data:: withaugmentation
   :annotation: = False

   

.. py:data:: withaugmentation
   

   

.. py:data:: platform
   

   

.. py:data:: cudacores
   :annotation: = ['1', '2', '4', '8', '16', '32', '48', '64', '96', '128', '144', '192', '256', '288', '384',...

   

.. py:function:: getMLPlatform()


.. py:function:: getUIMLPlatform()


.. py:data:: prefercpustr
   :annotation: = prefercpu

   

.. py:data:: defbatchstr
   :annotation: = defaultbatchsz

   

.. py:data:: keras_dict
   

   

.. py:function:: can_use_gpu()


.. py:function:: get_cpu_preference()


.. py:function:: get_keras_infos()


.. py:function:: set_compute_device(prefercpu)


.. py:function:: getParams(dodec=keras_dict[dgbkeys.decimkeystr], nbchunk=keras_dict['nbchunk'], epochs=keras_dict['epochs'], batch=keras_dict['batch'], patience=keras_dict['patience'], learnrate=keras_dict['learnrate'], epochdrop=keras_dict['epochdrop'], nntype=keras_dict['type'], prefercpu=keras_dict['prefercpu'], withaugmentation=keras_dict['withaugmentation'], withtensorboard=keras_dict['withtensorboard'])


.. py:function:: adaptive_schedule(initial_lrate=keras_dict['learnrate'], epochs_drop=keras_dict['epochdrop'])


.. py:function:: get_data_format(model)


.. py:function:: hasValidCubeletShape(cubeszs)


.. py:function:: getCubeletShape(model)


.. py:function:: rm_tree(pth)


.. py:function:: getLogDir(examplenm, basedir, clearlogs, args)


.. py:function:: get_model_shape(shape, nrattribs, attribfirst=True)


.. py:function:: getModelDims(model_shape, data_format)


.. py:function:: getModelsByType(learntype, classification, ndim)


.. py:function:: getModelsByInfo(infos)


.. py:function:: getDefaultModel(setup, type=keras_dict['type'], learnrate=keras_dict['learnrate'], data_format='channels_first')


.. py:function:: train(model, training, params=keras_dict, trainfile=None, logdir=None, tempnm=None)


.. py:function:: updateModelShape(infos, model, forinput)


.. py:function:: save(model, outfnm)


.. py:function:: load(modelfnm, fortrain, infos=None, pars=keras_dict)


.. py:function:: transfer(model)


.. py:function:: apply(model, samples, isclassification, withpred, withprobs, withconfidence, doprobabilities, dictinpshape=None, scaler=None, batch_size=None)


.. py:function:: adaptToModel(model, samples, dictinpshape=None, sample_data_format='channels_first')


.. py:function:: adaptFromModel(model, samples, inp_shape, ret_data_format)


.. py:function:: plot(model, outfnm, showshapes=True, withlaynames=False, vertical=True)


.. py:function:: compute_capability_from_device_desc(device_desc)


.. py:function:: getDevicesInfo(gpusonly=True)


.. py:function:: is_gpu_ready()


.. py:function:: need_channels_last()


.. py:function:: get_validation_data(trainseq)