Merge pull request #300 from OpenAccess-AI-Collective/pytorch-201

Pytorch 2.0.1

.github/workflows/base.yml

@@ -18,12 +18,12 @@ jobs:
           - cuda: "118"
             cuda_version: 11.8.0
             python_version: "3.9"
-            pytorch: 2.0.0
+            pytorch: 2.0.1
             axolotl_extras:
           - cuda: "118"
             cuda_version: 11.8.0
             python_version: "3.10"
-            pytorch: 2.0.0
+            pytorch: 2.0.1
             axolotl_extras:
           - cuda: "117"
             cuda_version: 11.7.1
@@ -33,7 +33,7 @@ jobs:
           - cuda: "118"
             cuda_version: 11.8.0
             python_version: "3.9"
-            pytorch: 2.0.0
+            pytorch: 2.0.1
             axolotl_extras: gptq
     steps:
       - name: Checkout

.github/workflows/main.yml

@@ -17,17 +17,17 @@ jobs:
           - cuda: cu118
             cuda_version: 11.8.0
             python_version: "3.9"
-            pytorch: 2.0.0
+            pytorch: 2.0.1
             axolotl_extras:
           - cuda: cu118
             cuda_version: 11.8.0
             python_version: "3.10"
-            pytorch: 2.0.0
+            pytorch: 2.0.1
             axolotl_extras:
           - cuda: cu118
             cuda_version: 11.8.0
             python_version: "3.9"
-            pytorch: 2.0.0
+            pytorch: 2.0.1
             axolotl_extras: gptq
           - cuda: cu117
             cuda_version: 11.7.1
@@ -72,17 +72,17 @@ jobs:
           - cuda: cu118
             cuda_version: 11.8.0
             python_version: "3.9"
-            pytorch: 2.0.0
+            pytorch: 2.0.1
             axolotl_extras:
           - cuda: cu118
             cuda_version: 11.8.0
             python_version: "3.10"
-            pytorch: 2.0.0
+            pytorch: 2.0.1
             axolotl_extras:
           - cuda: cu118
             cuda_version: 11.8.0
             python_version: "3.9"
-            pytorch: 2.0.0
+            pytorch: 2.0.1
             axolotl_extras: gptq
           - cuda: cu117
             cuda_version: 11.7.1

docker/Dockerfile-base

@@ -38,8 +38,9 @@ WORKDIR /workspace
 
 ARG TORCH_CUDA_ARCH_LIST="7.0 7.5 8.0 8.6+PTX"
 
-RUN git clone https://github.com/HazyResearch/flash-attention.git && \
+RUN git clone https://github.com/Dao-AILab/flash-attention.git && \
     cd flash-attention && \
+    git checkout v1.0.9 && \
     python3 setup.py bdist_wheel && \
     cd csrc/fused_dense_lib && \
     python3 setup.py bdist_wheel && \

src/axolotl/monkeypatch/llama_attn_hijack_xformers.py

@@ -184,14 +184,15 @@ def sdp_attention_forward(
 
     # We only apply sdp attention if we don't need to output the whole attention matrix
     if not output_attentions:
-        attn_output = torch.nn.functional.scaled_dot_product_attention(
-            query_states,
-            key_states,
-            value_states,
-            attn_mask=attention_mask,
-            is_causal=False,
-        )
-        attn_weights = None
+        with torch.backends.cuda.sdp_kernel():
+            attn_output = torch.nn.functional.scaled_dot_product_attention(
+                query_states,
+                key_states,
+                value_states,
+                attn_mask=attention_mask,
+                is_causal=False,
+            )
+            attn_weights = None
     else:
         attn_weights = torch.matmul(
             query_states, key_states.transpose(2, 3)