tensorflow2.0

问题 When training a neural network across multiple servers and GPUs, I can't think of a scenario where the ParameterServerStrategy would be preferable to the MultiWorkerMirroredStrategy . What are the ParameterServerStrategy 's main use cases and why would it be better than using MultiWorkerMirroredStrategy ? 回答1: MultiWorkerMirroredStrategy is intended for synchronous distributed training across multiple workers, each of which can have multiple GPUs ParameterServerStrategy : Supports parameter

问题 I have a python data generator- import numpy as np import tensorflow as tf vocab_size = 5 def create_generator(): 'generates sequences of varying lengths(5 to 7) with random number from 0 to voca_size-1' count = 0 while count < 5: sequence_len = np.random.randint(5, 8) # length varies from 5 to 7 seq = np.random.randint(0, vocab_size, (sequence_len)) yield seq count +=1 gen = tf.data.Dataset.from_generator(create_generator, args=[], output_types=tf.int32, output_shapes = (None, ), ) for g in

来源： https://stackoverflow.com/questions/64403877/valueerror-shapes-none-3-2-and-none-2-are-incompatible-using-tfrecord

来源： https://stackoverflow.com/questions/64403877/valueerror-shapes-none-3-2-and-none-2-are-incompatible-using-tfrecord

来源： https://stackoverflow.com/questions/60430561/notimplementederror-cannot-convert-a-symbolic-tensor-up-sampling2d-4-target0

来源： https://stackoverflow.com/questions/63177804/tensorflow-error-importerror-dll-load-failed-the-specified-module-could-not-b

来源： https://stackoverflow.com/questions/63177804/tensorflow-error-importerror-dll-load-failed-the-specified-module-could-not-b

来源： https://stackoverflow.com/questions/60002889/tensorflow-2-how-to-connect-two-layers-from-saved-models

来源： https://stackoverflow.com/questions/64239738/tensorflow-lite-does-not-recognize-op-varhandleop

来源： https://stackoverflow.com/questions/64239738/tensorflow-lite-does-not-recognize-op-varhandleop