Remove constexpr in launch template to fix CI compilation

cutlass @ 34fd9805

-Subproject commit 3a8f57a3c89cfff7aa686e95f13d9ad850f61898
+Subproject commit 34fd98056b69fbf7f0929b3f734bb5f00642e2c9

csrc/flash_attn/src/flash_bwd_launch_template.h

@@ -64,7 +64,7 @@ void run_flash_bwd_seqk_parallel(Flash_bwd_params &params, cudaStream_t stream,
             BOOL_SWITCH(is_even_K, IsEvenKConst, [&] {
                 auto kernel = &flash_bwd_dq_dk_dv_loop_seqk_parallel_kernel<Kernel_traits, Is_dropout, IsCausalConst, IsEvenMNConst, IsEvenKConst>;
                 // auto kernel = &flash_bwd_dq_dk_dv_loop_seqk_parallel_kernel<Kernel_traits, Is_dropout, IsCausalConst, IsEvenMNConst, true>;
-                if constexpr(smem_size_dq_dk_dv >= 48 * 1024)  {
+                if (smem_size_dq_dk_dv >= 48 * 1024)  {
                     C10_CUDA_CHECK(cudaFuncSetAttribute(
                         kernel, cudaFuncAttributeMaxDynamicSharedMemorySize, smem_size_dq_dk_dv));
                 }
@@ -75,7 +75,7 @@ void run_flash_bwd_seqk_parallel(Flash_bwd_params &params, cudaStream_t stream,
     });
 
     auto kernel_dq = &flash_bwd_convert_dq_kernel<Kernel_traits>;
-    if constexpr(Kernel_traits::kSmemdQSize >= 48 * 1024)  {
+    if (Kernel_traits::kSmemdQSize >= 48 * 1024)  {
         C10_CUDA_CHECK(cudaFuncSetAttribute(
             kernel_dq, cudaFuncAttributeMaxDynamicSharedMemorySize, Kernel_traits::kSmemdQSize));
     }
@@ -103,7 +103,7 @@ void run_flash_bwd_seqq_parallel(Flash_bwd_params &params, cudaStream_t stream,
             BOOL_SWITCH(is_even_K, IsEvenKConst, [&] {
                 auto kernel = &flash_bwd_dq_dk_dv_loop_seqq_parallel_kernel<Kernel_traits, Is_dropout, IsCausalConst, IsEvenNConst, IsEvenKConst>;
                 // auto kernel = &flash_bwd_dq_dk_dv_loop_seqq_parallel_kernel<Kernel_traits, false, false, IsEvenNConst, IsEvenKConst>;
-                if constexpr(smem_size_dq_dk_dv >= 48 * 1024)  {
+                if (smem_size_dq_dk_dv >= 48 * 1024)  {
                     C10_CUDA_CHECK(cudaFuncSetAttribute(
                         kernel, cudaFuncAttributeMaxDynamicSharedMemorySize, smem_size_dq_dk_dv));
                 }
@@ -114,7 +114,7 @@ void run_flash_bwd_seqq_parallel(Flash_bwd_params &params, cudaStream_t stream,
     });
 
     auto kernel_dkv = &flash_bwd_convert_dkv_kernel<Kernel_traits>;
-    if constexpr(Kernel_traits::kSmemKVSize >= 48 * 1024)  {
+    if (Kernel_traits::kSmemKVSize >= 48 * 1024)  {
         C10_CUDA_CHECK(cudaFuncSetAttribute(
             kernel_dkv, cudaFuncAttributeMaxDynamicSharedMemorySize, Kernel_traits::kSmemKVSize));
     }

csrc/flash_attn/src/flash_fwd_launch_template.h

@@ -46,7 +46,7 @@ void run_flash_fwd(Flash_fwd_params &params, cudaStream_t stream) {
                 // Will only return softmax if dropout, to reduce compilation time.
                 auto kernel = &flash_fwd_kernel<Kernel_traits, Is_dropout, Is_causal, IsEvenMNConst, IsEvenKConst, ReturnSoftmaxConst && Is_dropout>;
                 // auto kernel = &flash_fwd_kernel<Kernel_traits, Is_dropout, Is_causal, IsEvenMNConst, true, ReturnSoftmaxConst && Is_dropout>;
-                if constexpr(smem_size >= 48 * 1024) {
+                if (smem_size >= 48 * 1024) {
                     C10_CUDA_CHECK(cudaFuncSetAttribute(
                         kernel, cudaFuncAttributeMaxDynamicSharedMemorySize, smem_size));
                 }
@@ -74,7 +74,7 @@ void run_flash_splitkv_fwd(Flash_fwd_params &params, cudaStream_t stream) {
             BOOL_SWITCH(is_even_K, IsEvenKConst, [&] {
                 auto kernel = &flash_fwd_splitkv_kernel<Kernel_traits, Is_causal, IsEvenMNConst, IsEvenKConst>;
                 // auto kernel = &flash_fwd_splitkv_kernel<Kernel_traits, Is_causal, false, IsEvenKConst>;
-                if constexpr(smem_size >= 48 * 1024) {
+                if (smem_size >= 48 * 1024) {
                     C10_CUDA_CHECK(cudaFuncSetAttribute(
                         kernel, cudaFuncAttributeMaxDynamicSharedMemorySize, smem_size));
                 }

flash_attn/__init__.py

-__version__ = "2.1.2.post1"
+__version__ = "2.1.2.post2"
 
 from flash_attn.flash_attn_interface import (
     flash_attn_func,

training/Dockerfile

@@ -85,11 +85,11 @@ RUN pip install transformers==4.25.1 datasets==2.8.0 pytorch-lightning==1.8.6 tr
 RUN pip install git+https://github.com/mlcommons/logging.git@2.1.0
 
 # Install FlashAttention
-RUN pip install flash-attn==2.1.2.post1
+RUN pip install flash-attn==2.1.2.post2
 
 # Install CUDA extensions for cross-entropy, fused dense, layer norm
 RUN git clone https://github.com/HazyResearch/flash-attention \
-    && cd flash-attention && git checkout v2.1.2.post1 \
+    && cd flash-attention && git checkout v2.1.2.post2 \
     && cd csrc/fused_softmax && pip install . && cd ../../ \
     && cd csrc/rotary && pip install . && cd ../../ \
     && cd csrc/xentropy && pip install . && cd ../../ \