backend_commands.py

_BACKEND_SPEC = dict(
    set_learning_phase=__set_learning_phase,
    is_keras_tensor=__is_keras_tensor,
    variable=__variable,
    placeholder=__placeholder,
    eye=__eye,
    eval=__eval,
    random_uniform_variable=__random_uniform_variable,
    random_normal_variable=__random_normal_variable,
    random_uniform=__random_uniform_variable,
    random_normal=__random_normal,
    random_binomial=__random_binomial,
    dot=__dot,
    batch_dot=__batch_dot,
    transpose=__transpose,
    reverse=__reverse,
    ones=__ones,
    zeros=__zeros,
    concatenate=__concatenate,
    reshape=__reshape,
    permute_dimensions=__permute_dimensions,
    repeat=__repeat,
    flatten=__flatten,
    batch_flatten=__batch_flatten,
    expand_dims=__expand_dims,
    squeeze=__squeeze,
    temporal_padding=__temporal_padding,
    spatial_2d_padding=__spatial_2d_padding,
    spatial_3d_padding=__spatial_3d_padding,
    repeat_elements=__repeat_elements,
    tile=__tile,
    gather=__gather,
    get_value=__get_value,
    count_params=__count_params,
    int_shape=__int_shape,
    get_variable_shape=__get_variable_shape,
    print_tensor=__print_tensor,
    sum=__sum,
    min=__min,
    max=__max,
    mean=__mean,
    std=__std,
    prod=__prod,
    any=__any,
    all=__all,
    cumsum=__cumsum,
    cumprod=__cumprod,
    argmax=__argmax,
    argmin=__argmin,
    square=__square,
    abs=__abs,
    sqrt=__sqrt,
    exp=__exp,
    log=__log,
    identity=__identity,
    round=__round,
    sign=__sign,
    pow=__pow,
    clip=__clip,
    equal=__equal,
    not_equal=__not_equal,
    greater=__greater,
    greater_equal=__greater_equal,
    less=__less,
    less_equal=__less_equal,
    maximum=__maximum,
    minimum=__minimum,
    rnn=__rnn,
    logsumexp=__logsumexp,
    switch=__switch,
    dropout=__dropout,
    where=__where,
    relu=__relu,
    softmax=__softmax,
    softplus=__softplus,
    elu=__elu,
    sigmoid=__sigmoid,
    hard_sigmoid=__hard_sigmoid,
    tanh=__tanh,
    binary_crossentropy=__binary_crossentropy,
    categorical_crossentropy=__categorical_crossentropy,
    l2_normalize=__l2_normalize,
    stop_gradient=__stop_gradient,
    gradients=__gradients,
    in_top_k=__in_top_k,
    conv1d=__conv1d,
    conv2d=__conv2d,
    conv3d=__conv3d,
    pool2d=__pool2d,
    pool3d=__pool3d,
    resize_images=__resize_images,
    resize_volumes=__resize_volumes,
    bias_add=__bias_add,
    normalize_batch_in_training=__normalize_batch_in_training,
    backend=__backend,
    get_uid=__get_uid,
    ndim=__ndim,
    constant=__constant
)
# you'll also have to define name_scope