[fix] Fix the activation checkpointing when using SwiGLUPackedFusedOp (…

…#1127)

* [fix] Fix the activation checkpointing when using SwiGLUPackedFusedOp

According to the docs (https://pytorch.org/docs/stable/autograd.html#torch.autograd.Function) forward() method should not be called directly, apply() method have to be used instead.
After removing forward call, activation checkpointing starts working.

* [fix] Fix the activation checkpointing when using SwiGLUPackedFusedOp

The IF conditional on the x.requires_grad state (to change the behavior between inference/training modes) changes behavior of the recomputation of the forward() method which breaks activation checkpointing
(as on recomputation phase x is detached with requires_grad==False, and different number of tensors are saved in the save_for_backward() method).

* [fix] Fix the activation checkpointing when using SwiGLUPackedFusedOp by removing the inference path.

The IF conditional on the x.requires_grad state changes the behavior of the recomputation of the forward() method which breaks activation checkpointing
(as on the recomputation phase x is detached with requires_grad==False, and different number of tensors are saved in the save_for_backward() method).

xformers/csrc/swiglu/swiglu_packedw.cpp

@@ -101,11 +101,10 @@ class SwiGLUPackedWeights
     auto x5 = torch::nn::functional::linear(
         x4, w3, b3.has_value() ? b3.value() : at::Tensor());
 
-    if (ctx != nullptr) {
-      ctx->save_for_backward({x, w1w2, w3, x1, x2});
-      ctx->saved_data["has_b1b2"] = b1b2.has_value();
-      ctx->saved_data["has_b3"] = b3.has_value();
-    }
+    ctx->save_for_backward({x, w1w2, w3, x1, x2});
+    ctx->saved_data["has_b1b2"] = b1b2.has_value();
+    ctx->saved_data["has_b3"] = b3.has_value();
+
     return x5;
   }
 
@@ -211,12 +210,7 @@ at::Tensor swiglu_packedw_cuda(
     const std::optional<at::Tensor> b1b2,
     const at::Tensor w3,
     const std::optional<at::Tensor> b3) {
-  if (x.requires_grad()) {
-    return SwiGLUPackedWeights::apply(x, w1w2, b1b2, w3, b3);
-  } else {
-    return SwiGLUPackedWeights::forward(
-        /* ctx */ nullptr, x, w1w2, b1b2, w3, b3);
-  }
+  return SwiGLUPackedWeights::apply(x, w1w2, b1b2, w3, b3);
 }
 } // namespace