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remove useless platform args and comment

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This commit is contained in:
wangbinluo 2024-01-11 08:21:53 +00:00
parent a9b5ec8664
commit 3942218618
1 changed files with 1 additions and 32 deletions
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33
colossalai/kernel/cpu_adam_loader.py
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@ -12,37 +12,6 @@ class CPUAdamLoader(BaseKernelLoader):
Usage: Usage:
# init # init
cpu_adam = CPUAdamLoader().load() cpu_adam = CPUAdamLoader().load()
cpu_adam_op = cpu_adam.CPUAdamOptimizer(
alpha, beta1, beta2, epsilon, weight_decay, adamw_mode,
)
...
# optim step
cpu_adam_op.step(
step, lr, beta1, beta2, epsilon, weight_decay, bias_correction,
params, grads, exp_avg, exp_avg_sq, loss_scale,
)
Args:
func CPUAdamOptimizer:
alpha (float): learning rate. Default to 1e-3.
beta1 (float): coefficients used for computing running averages of gradient. Default to 0.9.
beta2 (float): coefficients used for computing running averages of its square. Default to 0.99.
epsilon (float): term added to the denominator to improve numerical stability. Default to 1e-8.
weight_decay (float): weight decay (L2 penalty). Default to 0.
adamw_mode (bool): whether to use the adamw. Default to True.
func step:
step (int): current step.
lr (float): learning rate.
beta1 (float): coefficients used for computing running averages of gradient.
beta2 (float): coefficients used for computing running averages of its square.
epsilon (float): term added to the denominator to improve numerical stability.
weight_decay (float): weight decay (L2 penalty).
bias_correction (bool): whether to use bias correction.
params (torch.Tensor): parameter.
grads (torch.Tensor): gradient.
exp_avg (torch.Tensor): exp average.
exp_avg_sq (torch.Tensor): exp average square.
loss_scale (float): loss scale value.
""" """
def __init__(self): def __init__(self):
@ -57,7 +26,7 @@ class CPUAdamLoader(BaseKernelLoader):
def fetch_kernel(self): def fetch_kernel(self):
if platform.machine() == "x86_64": if platform.machine() == "x86_64":
kernel = self._extension_map["x86"]().fetch() kernel = self._extension_map["x86"]().fetch()
elif platform.machine() in ["aarch64", "aarch64_be", "armv8b", "armv8l"]: elif platform.machine() == "aarch64":
kernel = self._extension_map["arm"]().fetch() kernel = self._extension_map["arm"]().fetch()
else: else:
raise Exception("not supported") raise Exception("not supported")