tensorflow 学习笔记-- tf.reduce_max、tf.sequence_mask 1、tf.reduce_max函数的作用:计算张量的各个维度上的元素的最大值。例子: import tensorflow as tf max_value = tf.reduce_max([1, 3, 2]) with tf.Session() as sess: max_value = sess.run(max_value) print(max_value) 结果为3 2、tf.s...
mask_length参数来自wav 2 vec 2-base的配置JSON。我认为您必须在加载之前编辑模型的配置，然后从编辑后...
Assign User on Comment Ensure that BlockMask length must always exactly match the sequence length in flex_attention #115927 Sign in to view logs Summary Jobs assign Run details Usage Workflow file Triggered via issue December 1, 2024 21:04 pytorchmergebot commented on #141625 b2fe1b9 Status...
In particular I'm using sliding window attention, so I think the block mask could be independent of the sequence length. I can try using the newcreate_nested_block_maskinterface added in#136792, but it's not clear to me that this would support changing total sequence lengths batch to batc...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - Ensure that BlockMask length must always exactly match the sequence length in flex_attention · pytorch/pytorch@9316ffd
Tensors and Dynamic neural networks in Python with strong GPU acceleration - FlexAttention with compiled block mask is slow when varying sequence lengths · pytorch/pytorch@42ab612
Ensure that BlockMask length must always exactly match the sequence length in flex_attention #331517 Sign in to view logs Summary Jobs Check labels Run details Usage Workflow file Triggered via pull request December 2, 2024 23:09 pytorchmergebot labeled #141625 gh/chillee/375/head ...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - Ensure that BlockMask length must always exactly match the sequence length in flex_attention · pytorch/pytorch@5c2584a
Tensors and Dynamic neural networks in Python with strong GPU acceleration - FlexAttention with compiled block mask is slow when varying sequence lengths · pytorch/pytorch@4fa7216
Using round robin sharding. Test `run_test.py` is usable without boto3 Failed to find test times file `/home/runner/work/pytorch/pytorch/.additional_ci_files/test-class-times.json`. Using round robin sharding.