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In [1]:
import tensorflow as tf
gpus = tf.config.list_physical_devices("GPU")
tf.config.experimental.set_memory_growth(gpus[0], True)

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    In [2]:
    # 本代码由可视化策略环境自动生成 2022年9月8日 09:59
# 本代码单元只能在可视化模式下编辑。您也可以拷贝代码，粘贴到新建的代码单元或者策略，然后修改。


m1 = M.dl_layer_input.v1(
    shape='5,98',
    batch_shape='',
    dtype='float32',
    sparse=False,
    name=''
)

m2 = M.dl_layer_lstm.v1(
    inputs=m1.data,
    units=64,
    activation='tanh',
    recurrent_activation='sigmoid',
    use_bias=True,
    kernel_initializer='glorot_uniform',
    recurrent_initializer='Orthogonal',
    bias_initializer='Zeros',
    unit_forget_bias=True,
    kernel_regularizer='None',
    kernel_regularizer_l1=0,
    kernel_regularizer_l2=0,
    recurrent_regularizer='None',
    recurrent_regularizer_l1=0,
    recurrent_regularizer_l2=0,
    bias_regularizer='None',
    bias_regularizer_l1=0,
    bias_regularizer_l2=0,
    activity_regularizer='None',
    activity_regularizer_l1=0,
    activity_regularizer_l2=0,
    kernel_constraint='None',
    recurrent_constraint='None',
    bias_constraint='None',
    dropout=0,
    recurrent_dropout=0,
    return_sequences=False,
    implementation='2',
    name=''
)