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quanto-exps-2/benchmark.py

@@ -11,8 +11,8 @@ WARM_UP_ITERS = 5
 PROMPT = "ghibli style, a fantasy landscape with castles"
 
 TORCH_DTYPES = {"fp32": torch.float32, "fp16": torch.float16, "bf16": torch.bfloat16}
-# QTYPES = {"fp8": qfloat8, "int8": qint8, "int4": qint4, "none": None}
-QTYPES = {"fp8": qfloat8, "int8": qint8, "none": None}
+QTYPES = {"fp8": qfloat8, "int8": qint8, "int4": qint4, "none": None}
+# QTYPES = {"fp8": qfloat8, "int8": qint8, "none": None}
 
 PREFIXES = {
     "stabilityai/stable-diffusion-3-medium-diffusers": "sd3",

quanto-exps-2/ckpt@pixart-bs@1-dtype@bf16-qtype@int4-qte@0-fuse@0-exclude@proj_out_info.json

@@ -0,0 +1 @@
+{"batch_size": 1, "memory": "9.380", "time": "7.431", "dtype": "bf16", "qtype": "int4", "qte": 0, "exclude_layers": ["proj_out"], "fuse": 0}

quanto-exps-2/ckpt@pixart-bs@1-dtype@bf16-qtype@int4-qte@0-fuse@0_info.json

@@ -0,0 +1 @@
+{"batch_size": 1, "memory": "9.378", "time": "7.442", "dtype": "bf16", "qtype": "int4", "qte": 0, "exclude_layers": null, "fuse": 0}

quanto-exps-2/ckpt@pixart-bs@4-dtype@bf16-qtype@int4-qte@0-fuse@0-exclude@proj_out_info.json

@@ -0,0 +1 @@
+{"batch_size": 4, "memory": "9.380", "time": "29.227", "dtype": "bf16", "qtype": "int4", "qte": 0, "exclude_layers": ["proj_out"], "fuse": 0}

quanto-exps-2/ckpt@pixart-bs@4-dtype@bf16-qtype@int4-qte@0-fuse@0_info.json

@@ -0,0 +1 @@
+{"batch_size": 4, "memory": "9.378", "time": "29.251", "dtype": "bf16", "qtype": "int4", "qte": 0, "exclude_layers": null, "fuse": 0}

quanto-exps-2/launch_exps_2.sh

@@ -1,11 +1,11 @@
 #!/bin/bash
 
 # Possible values for each argument
-ckpt_ids=("PixArt-alpha/PixArt-Sigma-XL-2-1024-MS" "fal/AuraFlow")
+ckpt_ids=("PixArt-alpha/PixArt-Sigma-XL-2-1024-MS" "fal/AuraFlow", "stabilityai/stable-diffusion-3-medium-diffusers")
 batch_sizes=(1 4)
-torch_dtypes=("fp16" "bf16")
-qtypes=("int8")
-qte=(0 1)
+torch_dtypes=("bf16")
+qtypes=("int4")
+qte=(0)
 
 # Loop over all combinations
 for ckpt_id in "${ckpt_ids[@]}"; do
@@ -21,7 +21,8 @@ for ckpt_id in "${ckpt_ids[@]}"; do
           fi
 
           # Run the Python script with the current combination of arguments
-          python3 benchmark.py --ckpt_id $ckpt_id --batch_size $batch_size --torch_dtype $torch_dtype $q_arg --qte $te --fuse 1
+          python3 benchmark.py --ckpt_id $ckpt_id --batch_size $batch_size --torch_dtype $torch_dtype $q_arg --qte $te 
+          python3 benchmark.py --ckpt_id $ckpt_id --batch_size $batch_size --torch_dtype $torch_dtype $q_arg --qte $te --exclude_layers=proj_out
         done
       done
     done