remove torch-sys dependency from benches

benches/generation_benchmark.rs

@@ -53,10 +53,6 @@ fn generation_forward_pass(iters: u64, model: &TextGenerationModel, data: &[&str
 }
 
 fn bench_generation(c: &mut Criterion) {
-    //    Set-up summarization model
-    unsafe {
-        torch_sys::dummy_cuda_dependency();
-    }
     let model = create_text_generation_model();
 
     //    Define input

benches/squad_benchmark.rs

@@ -73,9 +73,7 @@ fn qa_load_model(iters: u64) -> Duration {
 fn bench_squad(c: &mut Criterion) {
     //    Set-up QA model
     let model = create_qa_model();
-    unsafe {
-        torch_sys::dummy_cuda_dependency();
-    }
+
     //    Define input
     let mut squad_path = PathBuf::from(env::var("squad_dataset")
         .expect("Please set the \"squad_dataset\" environment variable pointing to the SQuAD dataset folder"));

benches/sst2_benchmark.rs

@@ -79,9 +79,7 @@ fn sst2_load_model(iters: u64) -> Duration {
 fn bench_sst2(c: &mut Criterion) {
     //    Set-up classifier
     let model = create_sentiment_model();
-    unsafe {
-        torch_sys::dummy_cuda_dependency();
-    }
+
     //    Define input
     let mut sst2_path = PathBuf::from(env::var("SST2_PATH").expect(
         "Please set the \"SST2_PATH\" environment variable pointing to the SST2 dataset folder",

benches/summarization_benchmark.rs

@@ -40,9 +40,6 @@ fn summarization_load_model(iters: u64) -> Duration {
 
 fn bench_squad(c: &mut Criterion) {
     //    Set-up summarization model
-    unsafe {
-        torch_sys::dummy_cuda_dependency();
-    }
     let model = create_summarization_model();
 
     //    Define input

benches/tensor_operations_benchmark.rs

@@ -17,10 +17,6 @@ fn matrix_multiply(iters: u64, input: &Tensor, weights: &Tensor) -> Duration {
 }
 
 fn bench_tensor_ops(c: &mut Criterion) {
-    //    Set-up summarization model
-    unsafe {
-        torch_sys::dummy_cuda_dependency();
-    }
     let input = Tensor::rand([32, 128, 512], (Kind::Float, Device::cuda_if_available()));
     let weights = Tensor::rand([512, 512], (Kind::Float, Device::cuda_if_available()));
 

benches/token_classification_benchmark.rs

@@ -14,9 +14,6 @@ fn create_model() -> TokenClassificationModel {
 
 fn bench_token_classification_predict(c: &mut Criterion) {
     //    Set-up model
-    unsafe {
-        torch_sys::dummy_cuda_dependency();
-    }
     let model = create_model();
 
     //    Define input

benches/translation_benchmark.rs

@@ -73,9 +73,6 @@ fn translation_load_model(iters: u64) -> Duration {
 
 fn bench_squad(c: &mut Criterion) {
     //    Set-up translation model
-    unsafe {
-        torch_sys::dummy_cuda_dependency();
-    }
     let model = create_translation_model();
 
     //    Define input