Question

该版本仅显示：

import tensorflow as tf import numpy as np ds_x = tf.data.Dataset.from_tensor_slices(np.random.randn(5, 5).astype(np.float32)) ds_y = tf.data.Dataset.from_tensor_slices({'l1': np.arange(5), 'l2':np.arange(5)}) ds = tf.data.Dataset.zip((ds_x, ds_y)).batch(2) input_ = tf.keras.Input(shape=[5]) x = tf.keras.layers.Dense(30, activation='relu')(input_) x1 = tf.keras.layers.Dense(5, activation='softmax')(x) x2 = tf.keras.layers.Dense(5, activation='softmax')(x) model = tf.keras.Model(inputs=input_, outputs={'l1':x1, 'l2':x2}) def model_loss(y, y_): res = 3 * tf.losses.SparseCategoricalCrossentropy()(y['l1'], y_['l1']) res += tf.losses.SparseCategoricalCrossentropy()(y['l2'], y_['l2']) return res train_loss = tf.keras.metrics.Mean() optimizer = tf.keras.optimizers.Adam() for i in range(25): for x, y in ds: with tf.GradientTape() as tape: out = model(x) loss = model_loss(y, out) gradients = tape.gradient(loss, model.trainable_variables) optimizer.apply_gradients(zip(gradients, model.trainable_variables)) train_loss(loss) print(f'Epoch {i} Loss: {train_loss.result():=4.4f}') train_loss.reset_states()

Epoch 0 Loss: 6.4170
Epoch 1 Loss: 6.3396
Epoch 2 Loss: 6.2737
Epoch 11 Loss: 5.7191
Epoch 12 Loss: 5.6608
Epoch 19 Loss: 5.2646
Epoch 24 Loss: 4.9896

提到的行仅是Build file '/.../node_modules/@bugsnag/react-native/android/build.gradle' line: 17

我们只是将其添加到项目中，并遵循https://docs.bugsnag.com/platforms/react-native/react-native/#installation

Answer 1

我遇到了同样的问题，并且对我来说解决的是将android/build.gradle中的Kotlin版本更新为1.3.72。

buildscript {
  ext {
    ...
    ext.kotlinVersion = '1.3.72'
  }
   ...

这个SO答案帮助我弄清楚了问题所在：https://stackoverflow.com/a/62475745

由于Bugsnag，React Native 0.63构建失败

1 个答案: