[Diffusion] Revert CPU AMX optimizations (#30716)
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@@ -443,8 +443,7 @@ at::Tensor flash_attn_varlen_func(
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const at::Tensor& cu_seqlens_k,
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int64_t max_seqlen_q,
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int64_t max_seqlen_k,
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bool causal,
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const std::optional<double>& sm_scale) {
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bool causal) {
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CHECK_LAST_DIM_CONTIGUOUS_INPUT(q);
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CHECK_LAST_DIM_CONTIGUOUS_INPUT(k);
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CHECK_LAST_DIM_CONTIGUOUS_INPUT(v);
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@@ -481,7 +480,7 @@ at::Tensor flash_attn_varlen_func(
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TORCH_CHECK(head_size_v % 2 == 0, "invalid head_size_v ", head_size_v);
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// softmax scale
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double _sm_scale = sm_scale.has_value() ? sm_scale.value() : 1.0 / std::sqrt(static_cast<double>(head_size));
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double sm_scale = 1.0 / std::sqrt(static_cast<double>(head_size));
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// check whether the batch has variant lengths
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const bool is_varlen =
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@@ -523,7 +522,7 @@ at::Tensor flash_attn_varlen_func(
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k_strideH,
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v_strideN,
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v_strideH,
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_sm_scale,
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sm_scale,
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sz,
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causal);
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} else {
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@@ -546,7 +545,7 @@ at::Tensor flash_attn_varlen_func(
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k_strideH,
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v_strideN,
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v_strideH,
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_sm_scale,
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sm_scale,
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sz,
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causal);
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}
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