sdp refactoring

This commit is contained in:
Pam
2023-03-10 12:58:10 +05:00
parent 37acba2633
commit 0981dea948
2 changed files with 11 additions and 10 deletions

View File

@@ -37,20 +37,21 @@ def apply_optimizations():
optimization_method = None
can_use_sdp = hasattr(torch.nn.functional, "scaled_dot_product_attention") and callable(getattr(torch.nn.functional, "scaled_dot_product_attention")) # not everyone has torch 2.x to use sdp
if cmd_opts.force_enable_xformers or (cmd_opts.xformers and shared.xformers_available and torch.version.cuda and (6, 0) <= torch.cuda.get_device_capability(shared.device) <= (9, 0)):
print("Applying xformers cross attention optimization.")
ldm.modules.attention.CrossAttention.forward = sd_hijack_optimizations.xformers_attention_forward
ldm.modules.diffusionmodules.model.AttnBlock.forward = sd_hijack_optimizations.xformers_attnblock_forward
optimization_method = 'xformers'
elif cmd_opts.opt_sdp_attention and (hasattr(torch.nn.functional, "scaled_dot_product_attention") and callable(getattr(torch.nn.functional, "scaled_dot_product_attention"))):
if cmd_opts.opt_sdp_no_mem_attention:
print("Applying scaled dot product cross attention optimization (without memory efficient attention).")
ldm.modules.attention.CrossAttention.forward = sd_hijack_optimizations.scaled_dot_product_no_mem_attention_forward
optimization_method = 'sdp-no-mem'
else:
print("Applying scaled dot product cross attention optimization.")
ldm.modules.attention.CrossAttention.forward = sd_hijack_optimizations.scaled_dot_product_attention_forward
optimization_method = 'sdp'
elif cmd_opts.opt_sdp_no_mem_attention and can_use_sdp:
print("Applying scaled dot product cross attention optimization (without memory efficient attention).")
ldm.modules.attention.CrossAttention.forward = sd_hijack_optimizations.scaled_dot_product_no_mem_attention_forward
optimization_method = 'sdp-no-mem'
elif cmd_opts.opt_sdp_attention and can_use_sdp:
print("Applying scaled dot product cross attention optimization.")
ldm.modules.attention.CrossAttention.forward = sd_hijack_optimizations.scaled_dot_product_attention_forward
optimization_method = 'sdp'
elif cmd_opts.opt_sub_quad_attention:
print("Applying sub-quadratic cross attention optimization.")
ldm.modules.attention.CrossAttention.forward = sd_hijack_optimizations.sub_quad_attention_forward