Adjust INC to run from vLLM with old PA

Change-Id: Ifdea6840aaa22791f478ad10788e5d47fd4a0394

neural_compressor/torch/algorithms/fp8_quant/_quant_common/helper_modules.py

@@ -533,19 +533,24 @@ def __init__(self, mod, mod_extra_config, *args, **kwargs):
             self.fetch_from_cache = mod.fetch_from_cache
             self.forward = self.forward_measure
 
-    def forward(self, input, cache, block_indices, block_offset):
+    def forward(self, input, cache, num_kv_cache_passes, num_slots_available, block_indices, block_offset):
         qinput = self.quant_input(input)
-        output_cache = self.forward_orig(qinput, cache, block_indices, block_offset)
+        output_cache = self.forward_orig(qinput, cache, num_kv_cache_passes, num_slots_available, block_indices, block_offset)
         return self.quant_output(output_cache)
 
-    def forward_measure(self, input, cache, block_indices, block_offset):
+    def forward_measure(self, input, cache, num_kv_cache_passes, num_slots_available, block_indices, block_offset):
         measure_input((input), self._mod_extra_config.inputs)
-        output_cache = self.forward_orig(input, cache, block_indices, block_offset)
+        output_cache = self.forward_orig(input, cache, num_kv_cache_passes, num_slots_available, block_indices, block_offset)
         measure_output((output_cache), self._mod_extra_config.outputs)
         return output_cache
 
-    def fetch_from_cache(self, cache, blocks):
+    def fetch_from_cache(self, cache, blocks, permutations=None):
         quant_cache = self.quant_input(cache)
+        if permutations:
+            output_cache = self.orig_fetch_from_cache(quant_cache, blocks, permutations)
+            for i in range(len(output_cache)):
+                output_cache[i]=self.quant_output(output_cache[i])
+            return output_cache
         output_cache = self.orig_fetch_from_cache(quant_cache, blocks)
         return self.quant_output(output_cache)