ó ¾÷Xc@s|ddlZdadadad„Zd„Zd„Zd„Zd „Z d „Z d „Z d „Z d „Z d„ZdS(iÿÿÿÿNtfloat32gH¯¼šò×z>t channels_lastcCstS(sÁReturns the value of the fuzz factor used in numeric expressions. # Returns A float. # Example ```python >>> keras.backend.epsilon() 1e-08 ``` (t_EPSILON(((s3/tmp/pip-build-isqEY4/keras/keras/backend/common.pytepsilon s cCs |adS(s=Sets the value of the fuzz factor used in numeric expressions. # Arguments e: float. New value of epsilon. # Example ```python >>> from keras import backend as K >>> K.epsilon() 1e-08 >>> K.set_epsilon(1e-05) >>> K.epsilon() 1e-05 ``` N(R(te((s3/tmp/pip-build-isqEY4/keras/keras/backend/common.pyt set_epsilonscCstS(sõReturns the default float type, as a string (e.g. 'float16', 'float32', 'float64'). # Returns String, the current default float type. # Example ```python >>> keras.backend.floatx() 'float32' ``` (t_FLOATX(((s3/tmp/pip-build-isqEY4/keras/keras/backend/common.pytfloatx.s cCs>|dddhkr.tdt|ƒƒ‚nt|ƒadS(s,Sets the default float type. # Arguments String: 'float16', 'float32', or 'float64'. # Example ```python >>> from keras import backend as K >>> K.floatx() 'float32' >>> K.set_floatx('float16') >>> K.floatx() 'float16' ``` tfloat16Rtfloat64sUnknown floatx type: N(t ValueErrortstrR(R((s3/tmp/pip-build-isqEY4/keras/keras/backend/common.pyt set_floatx>scCstj|dtƒS(s#Cast a Numpy array to the default Keras float type. # Arguments x: Numpy array. # Returns The same Numpy array, cast to its new type. # Example ```python >>> from keras import backend as K >>> K.floatx() 'float32' >>> arr = numpy.array([1.0, 2.0], dtype='float64') >>> arr.dtype dtype('float64') >>> new_arr = K.cast_to_floatx(arr) >>> new_arr array([ 1., 2.], dtype=float32) >>> new_arr.dtype dtype('float32') ``` tdtype(tnptasarrayR(tx((s3/tmp/pip-build-isqEY4/keras/keras/backend/common.pytcast_to_floatxTscCstS(sReturns the default image data format convention ('channels_first' or 'channels_last'). # Returns A string, either `'channels_first'` or `'channels_last'` # Example ```python >>> keras.backend.image_data_format() 'channels_first' ``` (t_IMAGE_DATA_FORMAT(((s3/tmp/pip-build-isqEY4/keras/keras/backend/common.pytimage_data_formatos cCs4|ddhkr$td|ƒ‚nt|ƒadS(sƒSets the value of the data format convention. # Arguments data_format: string. `'channels_first'` or `'channels_last'`. # Example ```python >>> from keras import backend as K >>> K.image_data_format() 'channels_first' >>> K.set_image_data_format('channels_last') >>> K.image_data_format() 'channels_last' ``` Rtchannels_firstsUnknown data_format:N(R R R(t data_format((s3/tmp/pip-build-isqEY4/keras/keras/backend/common.pytset_image_data_formatscCst|dƒrtStSdS(soReturns whether `x` is a Keras tensor. # Arguments x: a potential tensor. # Returns A boolean: whether the argument is a Keras tensor. # Examples ```python >>> from keras import backend as K >>> np_var = numpy.array([1, 2]) >>> K.is_keras_tensor(np_var) False >>> keras_var = K.variable(np_var) >>> K.is_keras_tensor(keras_var) # A variable is not a Tensor. False >>> keras_placeholder = K.placeholder(shape=(2, 4, 5)) >>> K.is_keras_tensor(keras_placeholder) # A placeholder is a Tensor. True ``` t _keras_shapeN(thasattrtTruetFalse(R((s3/tmp/pip-build-isqEY4/keras/keras/backend/common.pytis_keras_tensor•scCsI|ddhkr$td|ƒ‚n|dkr9d}nd}|adS(sfLegacy setter for `image_data_format`. # Arguments dim_ordering: string. `'tf'` or `'th'`. # Example ```python >>> from keras import backend as K >>> K.image_data_format() 'channels_first' >>> K.set_image_data_format('channels_last') >>> K.image_data_format() 'channels_last' ``` ttftthsUnknown dim_ordering:RRN(R R(t dim_orderingR((s3/tmp/pip-build-isqEY4/keras/keras/backend/common.pytset_image_dim_ordering´s   cCstdkrdSdSdS(s+Legacy getter for `image_data_format`. RRRN(R(((s3/tmp/pip-build-isqEY4/keras/keras/backend/common.pytimage_dim_orderingÎs (tnumpyRRRRRRRR RRRRRR (((s3/tmp/pip-build-isqEY4/keras/keras/backend/common.pyts