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Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,7 @@

import paddle
import paddle.distributed as dist
from paddle.framework import LayerHelper, core, in_dynamic_mode
from paddle.framework import LayerHelper, core, in_dynamic_mode, in_dynamic_or_pir_mode
from paddle.incubate.nn.functional import (
fused_layer_norm,
fused_rms_norm,
Expand Down Expand Up @@ -88,7 +88,8 @@ def fused_act_bias_wrapper(
quant_max_bound=0,
quant_min_bound=0,
):
if in_dynamic_mode():
if in_dynamic_or_pir_mode():

return paddle._C_ops.fused_bias_act(
x,
bias,
Expand Down
1 change: 1 addition & 0 deletions paddlenlp/experimental/transformers/generation_utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -183,6 +183,7 @@ def generate(
inputs_embeds=inputs_embeds,
**model_kwargs,
)

return ret

def update_model_kwargs_for_generation(self, cache, just_decoder, next_tokens, eos_token_id, model_kwargs):
Expand Down
5 changes: 4 additions & 1 deletion paddlenlp/generation/logits_process.py
Original file line number Diff line number Diff line change
Expand Up @@ -291,7 +291,10 @@ def __call__(self, input_ids, scores):


def TopKProcess(probs: paddle.Tensor, top_k: int, min_tokens_to_keep: int):
top_k = min(max(top_k, min_tokens_to_keep), probs.shape[-1])
top_k = paddle.minimum(
paddle.maximum(paddle.to_tensor(top_k), paddle.to_tensor(min_tokens_to_keep)),
paddle.to_tensor(probs.shape[-1]),
)
# Remove all tokens with a probability less than the last token of the top-k
# cast to float16 to support generation & d2s
if probs.dtype == paddle.bfloat16:
Expand Down
11 changes: 8 additions & 3 deletions tests/transformers/test_modeling_common.py
Original file line number Diff line number Diff line change
Expand Up @@ -967,8 +967,10 @@ def test_to_static_use_top_k(self):
use_top_p=False,
),
)

model_path = os.path.join(tempdir, "model.pdmodel")
if paddle.framework.use_pir_api():
model_path = os.path.join(tempdir, "model.json")
else:
model_path = os.path.join(tempdir, "model.pdmodel")
params_path = os.path.join(tempdir, "model.pdiparams")
config = paddle.inference.Config(model_path, params_path)

Expand Down Expand Up @@ -1036,7 +1038,10 @@ def test_to_static_use_top_p(self):
),
)

model_path = os.path.join(tempdir, "model.pdmodel")
if paddle.framework.use_pir_api():
model_path = os.path.join(tempdir, "model.json")
else:
model_path = os.path.join(tempdir, "model.pdmodel")
params_path = os.path.join(tempdir, "model.pdiparams")
config = paddle.inference.Config(model_path, params_path)

Expand Down