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It shows a user-friendly UI when generating token. #1982

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It shows a user-friendly UI when generating token. #1982

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8 changes: 5 additions & 3 deletions llm/inference/janus_pro/generation.py
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Original file line number Diff line number Diff line change
@@ -1,3 +1,4 @@
import sys
import os
import PIL.Image
import mindspore
Expand Down Expand Up @@ -77,8 +78,8 @@ def generate(

generated_tokens = ops.zeros(parallel_size, image_token_num_per_image, dtype=ms.int32)

print("Generating tokens: ")
for i in range(image_token_num_per_image):
print(f"generating token {i}")
outputs = mmgpt.language_model.model(inputs_embeds=inputs_embeds, use_cache=True, past_key_values=outputs.past_key_values if i != 0 else None)
hidden_states = outputs.last_hidden_state # (parallel_size*2, len(input_ids), 2048)

Expand All @@ -97,7 +98,8 @@ def generate(
# print("img_embeds.shape:", img_embeds.shape)
# print("img_embeds.dtype:", img_embeds.dtype)
inputs_embeds = img_embeds.unsqueeze(dim=1) #(parallel_size*2, 2048)
print("generated one token")
sys.stdout.write('.'); sys.stdout.flush()
print(f"Generated {i+1} tokens.\n")

if image_token_num_per_image==576:
dec = mmgpt.gen_vision_model.decode_code(generated_tokens.astype(ms.int32), shape=[parallel_size, 8, img_size//patch_size, img_size//patch_size])
Expand All @@ -121,4 +123,4 @@ def generate(
vl_gpt,
vl_chat_processor,
prompt,
)
)