Regenerate benchmark models after breaking change (#6764)
diff --git a/benchmarks/TensorFlow/CMakeLists.txt b/benchmarks/TensorFlow/CMakeLists.txt index 0c3f5dd..368e22d 100644 --- a/benchmarks/TensorFlow/CMakeLists.txt +++ b/benchmarks/TensorFlow/CMakeLists.txt
@@ -21,7 +21,7 @@ "fp16" # MODULE_TAGS # This uses the same input MLIR source as fp32 to save download time. # It requires users to have "--iree-flow-demote-f32-to-f16". - "https://storage.googleapis.com/iree-model-artifacts/MobileBertSquad-9e4b02e4b.tar.gz" # MLIR_SOURCE + "https://storage.googleapis.com/iree-model-artifacts/MobileBertSquad-f47e711f6.tar.gz" # MLIR_SOURCE "serving_default" # ENTRY_FUNCTION # The conversion done by "--iree-flow-demote-f32-to-f16" won't change the # original input signature. @@ -31,7 +31,7 @@ set(MOBILEBERT_FP32_MODULE "MobileBertSquad" # MODULE_NAME "fp32" # MODULE_TAGS - "https://storage.googleapis.com/iree-model-artifacts/MobileBertSquad-9e4b02e4b.tar.gz" # MLIR_SOURCE + "https://storage.googleapis.com/iree-model-artifacts/MobileBertSquad-f47e711f6.tar.gz" # MLIR_SOURCE "serving_default" # ENTRY_FUNCTION "1x384xi32,1x384xi32,1x384xi32" # FUNCTION_INPUTS ) @@ -39,7 +39,7 @@ set(MOBILENET_V2_MODULE "MobileNetV2" # MODULE_NAME "fp32,imagenet" # MODULE_TAGS - "https://storage.googleapis.com/iree-model-artifacts/MobileNetV2-9e4b02e4b.tar.gz" # MLIR_SOURCE + "https://storage.googleapis.com/iree-model-artifacts/MobileNetV2-f47e711f6.tar.gz" # MLIR_SOURCE "call" # ENTRY_FUNCTION "1x224x224x3xf32" # FUNCTION_INPUTS ) @@ -47,7 +47,7 @@ set(MOBILENET_V3SMALL_MODULE "MobileNetV3Small" # MODULE_NAME "fp32,imagenet" # MODULE_TAGS - "https://storage.googleapis.com/iree-model-artifacts/MobileNetV3Small-9e4b02e4b.tar.gz" # MLIR_SOURCE + "https://storage.googleapis.com/iree-model-artifacts/MobileNetV3Small-f47e711f6.tar.gz" # MLIR_SOURCE "call" # ENTRY_FUNCTION "1x224x224x3xf32" # FUNCTION_INPUTS )