Use unfused SDPA for short sequences (q_len <= 128 or kv_len <= 128)

Pull Request resolved: #18651

ATT
ghstack-source-id: 378132080
@exported-using-ghexport

Differential Revision: [D96044308](https://our.internmc.facebook.com/intern/diff/D96044308/)

Author: kimishpatel

.ci/scripts/test_lora.sh

@@ -151,13 +151,12 @@ else
 fi
 
 ### QUANTIZATION & PROGRAM DATA SEPARATION ###
-EXPECTED_QUANT_PREFIX="<|im_start|>user Calculate 15% of 80?<|im_end|><|im_start|>assistant:
-<think>
+EXPECTED_QUANT_PREFIX="<|im_start|>user Calculate 15% of 80?<|im_end|><|im_start|>assistant: me
 Okay, so I need to calculate 15% of 80."
 EXPECTED_QUANT_LORA_PREFIX="
 <|im_start|>user Calculate 15% of 80?<|im_end|><|im_start|>assistant
-To calculate 15% of 80, we can multiply 80 by 15/100 and then simplify the fraction.
-So, 15% of 80 is equal to (80 * 15) / 100 = 1200 / 100 = 12.
+To calculate 15% of 80, we can multiply 80 by 15/100.
+So, 15% of 80 is equal to 80 * 15/100 = 12.
 #### 12
 The answer is: 12<|im_end|>"
 EXPECTED_QUANT_LORA_ALTERNATE_PREFIX="
@@ -169,6 +168,7 @@ So, 15% of 80 is 12.
 The answer is: 12<|im_end|>"
 
 
+
 # Export Quantized PTE, PTD file, no LoRA.
 # override base.lora_config=null to avoid creating a lora model
 # and loading lora weights.
@@ -228,7 +228,7 @@ fi
 NOW=$(date +"%H:%M:%S")
 echo "Test 4: Quantized, program-data separation lora. Starting to run llama runner at ${NOW}"
 # shellcheck source=/dev/null
-cmake-out/examples/models/llama/llama_main --model_path=qwen_lora_math_q.pte --data_paths="qwen_foundation_q.ptd,qwen_lora_math_q.ptd" --prompt="${PROMPT}" ${RUNTIME_ARGS} --seq_len=104 > result.txt
+cmake-out/examples/models/llama/llama_main --model_path=qwen_lora_math_q.pte --data_paths="qwen_foundation_q.ptd,qwen_lora_math_q.ptd" --prompt="${PROMPT}" ${RUNTIME_ARGS} > result.txt
 NOW=$(date +"%H:%M:%S")
 echo "Finished at ${NOW}"
 

.ci/scripts/test_lora_multimethod.sh

@@ -85,8 +85,7 @@ EXPECTED_LORA_PREFIX="
 <|im_start|>user Calculate 15% of 80?<|im_end|><|im_start|>assistant
 To calculate 15% of 80"
 
-EXPECTED_BASE_PREFIX="<|im_start|>user Calculate 15% of 80?<|im_end|><|im_start|>assistant:
-<think>
+EXPECTED_BASE_PREFIX="<|im_start|>user Calculate 15% of 80?<|im_end|><|im_start|>assistant: me
 Okay, so I need to calculate 15% of 80."
 
 ### TEST 1: Run lora_forward method ###

extension/llm/custom_ops/op_sdpa.cpp

@@ -412,7 +412,12 @@ Tensor& custom_sdpa_out_impl(
       InvalidArgument,
       output);
 
-  bool use_unfused_sdpa = seq_len == 1;
+  // Quantized GEMM kernels may not handle non-contiguous per-head strides
+  // correctly when seq_dim=ONE and seq_len > 1, so keep the conservative
+  // condition for quantized inputs.
+  bool is_quantized = q.scalar_type() == ScalarType::Char;
+  bool use_unfused_sdpa = (!is_quantized) &&
+      (seq_len <= 128 || num_keys_for_causal_attention <= 128);
   if (use_unfused_sdpa) {
     ET_SWITCH_FLOAT_TYPES(output.scalar_type(), ctx, "sdpa", CTYPE, [&] {
       sdpa::impl::cpu_sdpa<CTYPE>(