Created
May 21, 2021 12:57
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tensorflow 47032 issue yet another reproduce https://github.com/tensorflow/tensorflow/issues/47032
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import tensorflow as tf | |
from tensorflow import keras | |
import numpy as np | |
N = 6 | |
CLASSES = 3 | |
FEATURES = 4 | |
model = keras.Sequential([ | |
keras.layers.Dense(10, input_shape=(FEATURES,)), | |
keras.layers.Dense(CLASSES, activation='softmax') | |
]) | |
model.compile( | |
optimizer=keras.optimizers.Adam(lr=1e-3), | |
loss=keras.losses.SparseCategoricalCrossentropy()) | |
train_features = np.random.randn(N,FEATURES) | |
train_labels = np.random.randint(0,CLASSES,(N,1)) | |
def pyf(x,y): | |
return x,y | |
ds = tf.data.Dataset.from_tensor_slices(( | |
tf.convert_to_tensor(train_features), | |
tf.convert_to_tensor(train_labels)) | |
).map(lambda x,y: tf.py_function( | |
pyf, [x,y], [tf.float64, tf.int64])) | |
model.fit( | |
ds.batch(2), | |
epochs=2, | |
validation_data=ds.batch(2), | |
verbose=0, | |
class_weight={c:1.0 for c in range(CLASSES)}) |
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