v0.34.0

See https://github.com/quic/ai-hub-models/releases/v0.34.0 for changelog.

README.md

@@ -24,6 +24,7 @@ More details on model performance across various devices, can be found
 [here](https://aihub.qualcomm.com/models/controlnet_canny).
 
 
+
 ### Model Details
 
 - **Model Type:** Model_use_case.image_generation
@@ -147,44 +148,7 @@ device. This script does the following:
 ```bash
 python -m qai_hub_models.models.controlnet_canny.export
 ```
-```
-Profiling Results
-------------------------------------------------------------
-text_encoder
-Device                          : cs_8550 (ANDROID 12)                 
-Runtime                         : QNN_CONTEXT_BINARY                   
-Estimated inference time (ms)   : 5.4                                  
-Estimated peak memory usage (MB): [0, 3]                               
-Total # Ops                     : 438                                  
-Compute Unit(s)                 : npu (438 ops) gpu (0 ops) cpu (0 ops)
-
-------------------------------------------------------------
-unet
-Device                          : cs_8550 (ANDROID 12)                  
-Runtime                         : QNN_CONTEXT_BINARY                    
-Estimated inference time (ms)   : 110.9                                 
-Estimated peak memory usage (MB): [13, 15]                              
-Total # Ops                     : 4055                                  
-Compute Unit(s)                 : npu (4055 ops) gpu (0 ops) cpu (0 ops)
-
-------------------------------------------------------------
-vae
-Device                          : cs_8550 (ANDROID 12)                 
-Runtime                         : QNN_CONTEXT_BINARY                   
-Estimated inference time (ms)   : 268.8                                
-Estimated peak memory usage (MB): [0, 3]                               
-Total # Ops                     : 175                                  
-Compute Unit(s)                 : npu (175 ops) gpu (0 ops) cpu (0 ops)
-
-------------------------------------------------------------
-controlnet
-Device                          : cs_8550 (ANDROID 12)                 
-Runtime                         : QNN_CONTEXT_BINARY                   
-Estimated inference time (ms)   : 83.2                                 
-Estimated peak memory usage (MB): [2, 4]                               
-Total # Ops                     : 664                                  
-Compute Unit(s)                 : npu (664 ops) gpu (0 ops) cpu (0 ops)
-```
+
 
 
 

precompiled/qualcomm-qcs8550-proxy/sdk_versions.yml

@@ -0,0 +1,3 @@
+sdk_versions:
+  qnn_context_binary:
+    qairt: 2.34.2.250528164111_119506

precompiled/qualcomm-qcs9075-proxy/sdk_versions.yml

@@ -0,0 +1,3 @@
+sdk_versions:
+  qnn_context_binary:
+    qairt: 2.34.2.250528164111_119506

precompiled/qualcomm-sa8255p-proxy/sdk_versions.yml

@@ -0,0 +1,3 @@
+sdk_versions:
+  qnn_context_binary:
+    qairt: 2.34.2.250528164111_119506

precompiled/qualcomm-sa8650p-proxy/sdk_versions.yml

@@ -0,0 +1,3 @@
+sdk_versions:
+  qnn_context_binary:
+    qairt: 2.34.2.250528164111_119506

precompiled/qualcomm-sa8775p/sdk_versions.yml

@@ -0,0 +1,3 @@
+sdk_versions:
+  qnn_context_binary:
+    qairt: 2.34.2.250528164111_119506

precompiled/qualcomm-snapdragon-8-elite/sdk_versions.yml

@@ -0,0 +1,5 @@
+sdk_versions:
+  qnn_context_binary:
+    qairt: 2.34.2.250528164111_119506
+  precompiled_qnn_onnx:
+    qairt: 2.33.2.250410134701_117956

precompiled/qualcomm-snapdragon-8gen2/sdk_versions.yml

@@ -0,0 +1,5 @@
+sdk_versions:
+  qnn_context_binary:
+    qairt: 2.34.2.250528164111_119506
+  precompiled_qnn_onnx:
+    qairt: 2.33.2.250410134701_117956

precompiled/qualcomm-snapdragon-8gen3/sdk_versions.yml

@@ -0,0 +1,5 @@
+sdk_versions:
+  qnn_context_binary:
+    qairt: 2.34.2.250528164111_119506
+  precompiled_qnn_onnx:
+    qairt: 2.33.2.250410134701_117956

precompiled/qualcomm-snapdragon-x-elite/sdk_versions.yml

@@ -0,0 +1,5 @@
+sdk_versions:
+  qnn_context_binary:
+    qairt: 2.34.2.250528164111_119506
+  precompiled_qnn_onnx:
+    qairt: 2.33.2.250410134701_117956