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quanto-exps/ckpt@sd3-bs@1-dtype@bf16-qtype@fp8-qte@1-second@1_info.json

@@ -1 +1 @@
-{"batch_size": 1, "memory": "14.987", "time": "2.733", "dtype": "bf16", "qtype": "fp8", "qte": 1, "exclude_layers": null, "first": 0, "second": 1, "third": 0}
+{"batch_size": 1, "memory": "14.988", "time": "2.731", "dtype": "bf16", "qtype": "fp8", "qte": 1, "exclude_layers": null, "first": 0, "second": 1, "third": 0}

quanto-exps/ckpt@sd3-bs@1-dtype@bf16-qtype@fp8-qte@1-third@1_info.json

@@ -1 +1 @@
-{"batch_size": 1, "memory": "14.601", "time": "2.700", "dtype": "bf16", "qtype": "fp8", "qte": 1, "exclude_layers": null, "first": 0, "second": 0, "third": 1}
+{"batch_size": 1, "memory": "14.636", "time": "2.709", "dtype": "bf16", "qtype": "fp8", "qte": 1, "exclude_layers": null, "first": 0, "second": 0, "third": 1}

quanto-exps/ckpt@sd3-bs@1-dtype@fp16-qtype@fp8-qte@1-second@1_info.json

@@ -1 +1 @@
-{"batch_size": 1, "memory": "16.863", "time": "2.742", "dtype": "fp16", "qtype": "fp8", "qte": 1, "exclude_layers": null, "first": 0, "second": 1, "third": 0}
+{"batch_size": 1, "memory": "16.862", "time": "2.765", "dtype": "fp16", "qtype": "fp8", "qte": 1, "exclude_layers": null, "first": 0, "second": 1, "third": 0}

quanto-exps/ckpt@sd3-bs@1-dtype@fp16-qtype@fp8-qte@1-third@1_info.json

@@ -1 +1 @@
-{"batch_size": 1, "memory": "16.514", "time": "2.743", "dtype": "fp16", "qtype": "fp8", "qte": 1, "exclude_layers": null, "first": 0, "second": 0, "third": 1}
+{"batch_size": 1, "memory": "16.483", "time": "2.744", "dtype": "fp16", "qtype": "fp8", "qte": 1, "exclude_layers": null, "first": 0, "second": 0, "third": 1}

quanto-exps/ckpt@sd3-bs@4-dtype@bf16-qtype@fp8-qte@1-second@1_info.json

@@ -1 +1 @@
-{"batch_size": 4, "memory": "20.676", "time": "8.200", "dtype": "bf16", "qtype": "fp8", "qte": 1, "exclude_layers": null, "first": 0, "second": 1, "third": 0}
+{"batch_size": 4, "memory": "20.644", "time": "8.192", "dtype": "bf16", "qtype": "fp8", "qte": 1, "exclude_layers": null, "first": 0, "second": 1, "third": 0}

quanto-exps/ckpt@sd3-bs@4-dtype@bf16-qtype@fp8-qte@1-third@1_info.json

@@ -1 +1 @@
-{"batch_size": 4, "memory": "16.330", "time": "8.359", "dtype": "bf16", "qtype": "fp8", "qte": 1, "exclude_layers": null, "first": 0, "second": 0, "third": 1}
+{"batch_size": 4, "memory": "16.368", "time": "8.360", "dtype": "bf16", "qtype": "fp8", "qte": 1, "exclude_layers": null, "first": 0, "second": 0, "third": 1}

quanto-exps/ckpt@sd3-bs@4-dtype@fp16-qtype@fp8-qte@1-second@1_info.json

@@ -1 +1 @@
-{"batch_size": 4, "memory": "22.517", "time": "8.215", "dtype": "fp16", "qtype": "fp8", "qte": 1, "exclude_layers": null, "first": 0, "second": 1, "third": 0}
+{"batch_size": 4, "memory": "22.517", "time": "8.244", "dtype": "fp16", "qtype": "fp8", "qte": 1, "exclude_layers": null, "first": 0, "second": 1, "third": 0}

quanto-exps/ckpt@sd3-bs@4-dtype@fp16-qtype@fp8-qte@1-third@1_info.json

@@ -1 +1 @@
-{"batch_size": 4, "memory": "16.480", "time": "8.542", "dtype": "fp16", "qtype": "fp8", "qte": 1, "exclude_layers": null, "first": 0, "second": 0, "third": 1}
+{"batch_size": 4, "memory": "16.483", "time": "8.534", "dtype": "fp16", "qtype": "fp8", "qte": 1, "exclude_layers": null, "first": 0, "second": 0, "third": 1}

quanto-exps/launch_exps_4.sh

@@ -0,0 +1,30 @@
+#!/bin/bash
+
+# Possible values for each argument
+ckpt_ids=("stabilityai/stable-diffusion-3-medium-diffusers")
+batch_sizes=(1 4)
+torch_dtypes=("fp16" "bf16")
+qtypes=("fp8")
+qte=(1)
+
+# Loop over all combinations
+for ckpt_id in "${ckpt_ids[@]}"; do
+  for batch_size in "${batch_sizes[@]}"; do
+    for torch_dtype in "${torch_dtypes[@]}"; do
+      for qtype in "${qtypes[@]}"; do
+        for te in "${qte[@]}"; do
+          # Adjust the qtype argument if it's "None"
+          if [ "$qtype" == "none" ]; then
+            q_arg=""
+          else
+            q_arg="--qtype $qtype"
+          fi
+
+          # Run the Python script with the current combination of arguments
+          python3 benchmark_2.py --ckpt_id $ckpt_id --batch_size $batch_size --torch_dtype $torch_dtype $q_arg --qte $te --first 0 --second 1 --third 0
+          python3 benchmark_2.py --ckpt_id $ckpt_id --batch_size $batch_size --torch_dtype $torch_dtype $q_arg --qte $te --first 0 --second 0 --third 1
+        done
+      done
+    done
+  done
+done