Spaces:
Configuration error
Configuration error
""" Batch size decay and retry helpers. | |
Copyright 2022 Ross Wightman | |
""" | |
import math | |
def decay_batch_step(batch_size, num_intra_steps=2, no_odd=False): | |
""" power of two batch-size decay with intra steps | |
Decay by stepping between powers of 2: | |
* determine power-of-2 floor of current batch size (base batch size) | |
* divide above value by num_intra_steps to determine step size | |
* floor batch_size to nearest multiple of step_size (from base batch size) | |
Examples: | |
num_steps == 4 --> 64, 56, 48, 40, 32, 28, 24, 20, 16, 14, 12, 10, 8, 7, 6, 5, 4, 3, 2, 1 | |
num_steps (no_odd=True) == 4 --> 64, 56, 48, 40, 32, 28, 24, 20, 16, 14, 12, 10, 8, 6, 4, 2 | |
num_steps == 2 --> 64, 48, 32, 24, 16, 12, 8, 6, 4, 3, 2, 1 | |
num_steps == 1 --> 64, 32, 16, 8, 4, 2, 1 | |
""" | |
if batch_size <= 1: | |
# return 0 for stopping value so easy to use in loop | |
return 0 | |
base_batch_size = int(2 ** (math.log(batch_size - 1) // math.log(2))) | |
step_size = max(base_batch_size // num_intra_steps, 1) | |
batch_size = base_batch_size + ((batch_size - base_batch_size - 1) // step_size) * step_size | |
if no_odd and batch_size % 2: | |
batch_size -= 1 | |
return batch_size | |
def check_batch_size_retry(error_str): | |
""" check failure error string for conditions where batch decay retry should not be attempted | |
""" | |
error_str = error_str.lower() | |
if 'required rank' in error_str: | |
# Errors involving phrase 'required rank' typically happen when a conv is used that's | |
# not compatible with channels_last memory format. | |
return False | |
if 'illegal' in error_str: | |
# 'Illegal memory access' errors in CUDA typically leave process in unusable state | |
return False | |
return True | |