Movatterモバイル変換

[0]ホーム
URL:

Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

 Sign up
Appearance settings

recompute support offload tensor#10981

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to ourterms of service andprivacy statement. We’ll occasionally send you account related emails.

Already on GitHub?Sign in to your account

Open
blacksheep-Aristotle wants to merge1 commit intoPaddlePaddle:dsv3-sft
base:dsv3-sft
Choose a base branch
Loading
fromblacksheep-Aristotle:recompute_offload
Open
Show file tree
Hide file tree
Changes fromall commits
Commits
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 2 additions & 1 deletionpaddlenlp/transformers/deepseek_v2/configuration.py
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -179,6 +179,7 @@ def __init__(
attention_dropout=0.0,
speculate_model_type=False,
using_flex_token=False,
decoderlayer_act_offload_settings={},
**kwargs,
):
self.vocab_size = vocab_size
Expand DownExpand Up@@ -227,7 +228,7 @@ def __init__(
self.speculate_model_type = speculate_model_type
self.use_fp8 = False
self.using_flex_token = using_flex_token

self.decoderlayer_act_offload_settings = decoderlayer_act_offload_settings
super().__init__(
pad_token_id=pad_token_id,
bos_token_id=bos_token_id,
Expand Down
28 changes: 28 additions & 0 deletionspaddlenlp/transformers/deepseek_v2/modeling.py
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -1660,6 +1660,33 @@ def recompute_training_full(
use_cache: bool,
attn_mask_startend_row_indices: Optional[Tensor] = None,
):
decoderlayer_act_offload_settings = self.config.get(
"decoderlayer_act_offload_settings", {"type": "", "value": ""}
)

setting_type = decoderlayer_act_offload_settings["type"]
offload_value = decoderlayer_act_offload_settings["value"]

def get_offload_kwargs(layer_idx, setting_type, offload_value):
offload_kwargs = {}
if "mod" == setting_type:
assert isinstance(offload_value, (list, tuple))
v1, v2 = offload_value
offload_kwargs["offload_indices"] = [0] if layer_idx % v1 == v2 else []
else:
raise ValueError(
f"decoderlayer_act_offload_settings only support type == 'mod' ,but get type {setting_type}"
)
return offload_kwargs

layer_idx = layer_module.layer_idx
# NOTE: the first layer inputs will be used in mtp, so do not offload it
if layer_idx == 0:
offload_kwargs = {}
else:
offload_kwargs = get_offload_kwargs(layer_idx, setting_type, offload_value)
print("recompute offload ", offload_kwargs)

def create_custom_forward(module):
def custom_forward(*inputs):
return module(*inputs)
Expand All@@ -1676,6 +1703,7 @@ def custom_forward(*inputs):
use_cache,
attn_mask_startend_row_indices,
use_reentrant=self.config.recompute_use_reentrant,
**offload_kwargs,
)

return hidden_states
Expand Down
39 changes: 37 additions & 2 deletionspaddlenlp/transformers/deepseek_v2/modeling_pp.py
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -93,6 +93,27 @@ def get_attr(layer, name):
return get_attr(layer._layer, name)


def get_offload_kwargs(layer_idx, decoderlayer_act_offload_settings):
setting_type = decoderlayer_act_offload_settings["type"]
offload_value = decoderlayer_act_offload_settings["value"]

# NOTE: the first layer inputs will be used in mtp, so do not offload it
if layer_idx == 0:
offload_kwargs = {}
else:
offload_kwargs = {}
if "mod" == setting_type:
assert isinstance(offload_value, (list, tuple))
v1, v2 = offload_value
offload_kwargs["offload_indices"] = [0] if layer_idx % v1 == v2 else []
elif setting_type is not None and setting_type != "":
raise ValueError(
f"decoderlayer_act_offload_settings only support type == 'mod' ,but get type {setting_type}"
)
print("offload_kwargs ", offload_kwargs)
return offload_kwargs


class DeepseekV2EmbeddingPipe(nn.Layer):
def __init__(self, config: DeepseekV2Config):
super(DeepseekV2EmbeddingPipe, self).__init__()
Expand DownExpand Up@@ -132,12 +153,14 @@ def forward(self, args):
attention_mask = attention_mask[
:, :, : -self.config.num_nextn_predict_layers, : -self.config.num_nextn_predict_layers
]

# attn_mask_startend_row_indices: [b, num_head, seq_len] or [b, num_head, seq_len, C], C is 2 or 4
if attn_mask_startend_row_indices is not None:
if attn_mask_startend_row_indices.ndim == 3:
attn_mask_startend_row_indices = attn_mask_startend_row_indices[
:, :, : -self.config.num_nextn_predict_layers,
:,
:,
: -self.config.num_nextn_predict_layers,
]
elif attn_mask_startend_row_indices.ndim == 4:
attn_mask_startend_row_indices = attn_mask_startend_row_indices[
Expand DownExpand Up@@ -222,6 +245,10 @@ def forward(self, args):
attn_mask_startend_row_indices, position_ids = None, attn_mask_startend_row_indices

if self.enable_recompute and self.config.recompute_granularity == "full" and has_gradient:
decoderlayer_act_offload_settings = self.config.get(
"decoderlayer_act_offload_settings", {"type": "", "value": ""}
)
offload_kwargs = get_offload_kwargs(self.layer_idx, decoderlayer_act_offload_settings)
if attention_mask is not None or attn_mask_startend_row_indices is not None:
hidden_states = recompute(
super().forward,
Expand All@@ -230,6 +257,7 @@ def forward(self, args):
attention_mask=attention_mask,
attn_mask_startend_row_indices=attn_mask_startend_row_indices,
use_reentrant=False,
**offload_kwargs,
)
else:
# for pretrain
Expand All@@ -239,6 +267,7 @@ def forward(self, args):
position_ids=position_ids,
attn_mask_startend_row_indices=attn_mask_startend_row_indices,
use_reentrant=self.config.recompute_use_reentrant,
**offload_kwargs,
)
else:
hidden_states = super().forward(
Expand DownExpand Up@@ -279,6 +308,10 @@ def forward(self, args):
for depth in range(self.config.num_nextn_predict_layers):
inputs_embeds_cur_depth = inputs_embeds_cur_depth_list[depth]
if self.enable_recompute and self.config.recompute_granularity == "full" and has_gradient:
decoderlayer_act_offload_settings = self.config.get(
"decoderlayer_act_offload_settings", {"type": "", "value": ""}
)
offload_kwargs = get_offload_kwargs(self.layer_idx, decoderlayer_act_offload_settings)
if attention_mask is not None or attn_mask_startend_row_indices is not None:
hidden_states = recompute(
super().forward,
Expand All@@ -288,6 +321,7 @@ def forward(self, args):
attention_mask=attention_mask,
attn_mask_startend_row_indices=attn_mask_startend_row_indices,
use_reentrant=False,
**offload_kwargs,
)
else:
# for pretrain
Expand All@@ -298,6 +332,7 @@ def forward(self, args):
position_ids=position_ids,
attn_mask_startend_row_indices=attn_mask_startend_row_indices,
use_reentrant=self.config.recompute_use_reentrant,
**offload_kwargs,
)
else:
hidden_states = super().forward(
Expand Down
Loading
[8]ページ先頭
©2009-2026 Movatter.jp