[feat] clear cache

scripts/train_tokenizer.py

@@ -99,7 +99,7 @@ def train_tokenizer():
         "spaces_between_special_tokens": False,
         "tokenizer_class": "PreTrainedTokenizerFast",
         "unk_token": "<|endoftext|>",
-        "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' -%}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else -%}\n        {{- '<|im_start|>system\\nYou are a helpful assistant<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- if ns.multi_step_tool and message.role == \"user\" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if message.content is string %}\n        {%- set content = message.content %}\n    {%- else %}\n        {%- set content = '' %}\n    {%- endif %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n   {{- '<|im_start|>' + message.role + '\\n' + content }}\n  {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}"
+        "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' -%}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else -%}\n        {{- '<|im_start|>system\\nYou are a helpful assistant<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n    {%- set index = (messages|length - 1) - loop.index0 %}\n    {%- if ns.multi_step_tool and message.role == \"user\" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n        {%- set ns.multi_step_tool = false %}\n        {%- set ns.last_query_index = index %}\n    {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n    {%- if message.content is string %}\n        {%- set content = message.content %}\n    {%- else %}\n        {%- set content = '' %}\n    {%- endif %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {%- set reasoning_content = '' %}\n        {%- if message.reasoning_content is string %}\n            {%- set reasoning_content = message.reasoning_content %}\n        {%- else %}\n            {%- if '</think>' in content %}\n                {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n                {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n            {%- endif %}\n        {%- endif %}\n        {%- if loop.index0 > ns.last_query_index %}\n            {%- if loop.last or (not loop.last and reasoning_content) %}\n                {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n            {%- else %}\n                {{- '<|im_start|>' + message.role + '\\n' + content }}\n            {%- endif %}\n        {%- else %}\n            {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- endif %}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n    {%- if enable_thinking is defined and enable_thinking is false %}\n        {{- '<think>\\n\\n</think>\\n\\n' }}\n    {%- endif %}\n{%- endif %}"
     }
 
     # 保存配置文件

trainer/train_distill_reason.py

@@ -65,6 +65,7 @@ def train_epoch(epoch, loader, iters, tokenizer, lm_config, start_step=0, wandb=
             scaler.step(optimizer)
             scaler.update()
             optimizer.zero_grad(set_to_none=True)
+            torch.cuda.empty_cache()
 
         if step % args.log_interval == 0 or step == iters - 1:
             spend_time = time.time() - start_time

trainer/train_distillation.py

@@ -96,6 +96,7 @@ def train_epoch(epoch, loader, iters, teacher_model, lm_config_student, start_st
             scaler.step(optimizer)
             scaler.update()
             optimizer.zero_grad(set_to_none=True)
+            torch.cuda.empty_cache()
 
         if step % args.log_interval == 0 or step == iters - 1:
             spend_time = time.time() - start_time

trainer/train_dpo.py

@@ -90,6 +90,7 @@ def train_epoch(epoch, loader, iters, ref_model, lm_config, start_step=0, wandb=
             scaler.step(optimizer)
             scaler.update()
             optimizer.zero_grad(set_to_none=True)
+            torch.cuda.empty_cache()
 
         if step % args.log_interval == 0 or step == iters - 1:
             spend_time = time.time() - start_time

trainer/train_full_sft.py

@@ -52,6 +52,7 @@ def train_epoch(epoch, loader, iters, start_step=0, wandb=None):
             scaler.update()
 
             optimizer.zero_grad(set_to_none=True)
+            torch.cuda.empty_cache()
 
         if step % args.log_interval == 0 or step == iters - 1:
             spend_time = time.time() - start_time

trainer/train_grpo.py

@@ -149,6 +149,7 @@ def grpo_train_epoch(epoch, loader, iters, ref_model, reward_model, reward_token
             optimizer.step()
             scheduler.step()
             optimizer.zero_grad()
+            torch.cuda.empty_cache()
 
         if step % args.log_interval == 0 or step == iters:
             policy_loss_val = loss.item()

trainer/train_lora.py

@@ -53,6 +53,7 @@ def train_epoch(epoch, loader, iters, lora_params, start_step=0, wandb=None):
             scaler.update()
 
             optimizer.zero_grad(set_to_none=True)
+            torch.cuda.empty_cache()
 
         if step % args.log_interval == 0 or step == iters - 1:
             spend_time = time.time() - start_time

trainer/train_ppo.py

@@ -179,6 +179,7 @@ def ppo_train_epoch(epoch, loader, iters, old_actor_model, ref_model, actor_sche
             critic_scheduler.step()
             actor_optimizer.zero_grad()
             critic_optimizer.zero_grad()
+            torch.cuda.empty_cache()
 
         if is_main_process():
             response_ids = gen_out[:, enc.input_ids.shape[1]:]

trainer/train_pretrain.py

@@ -52,6 +52,7 @@ def train_epoch(epoch, loader, iters, start_step=0, wandb=None):
             scaler.update()
 
             optimizer.zero_grad(set_to_none=True)
+            torch.cuda.empty_cache()
 
         if step % args.log_interval == 0 or step == iters - 1:
             spend_time = time.time() - start_time

trainer/train_spo.py

@@ -192,6 +192,7 @@ def spo_train_epoch(epoch, loader, iters, ref_model, reward_model, reward_tokeni
             optimizer.step()
             scheduler.step()
             optimizer.zero_grad()
+            torch.cuda.empty_cache()
 
         if step % args.log_interval == 0 or step == iters:
             policy_loss_val = loss.item()