1 files changed, 0 insertions, 53 deletions
diff --git a/neurobench_testing/examples/gsc/benchmark_snn.py b/neurobench_testing/examples/gsc/benchmark_snn.py
deleted file mode 100644
index 48bea78..0000000
--- a/neurobench_testing/examples/gsc/benchmark_snn.py
+++ /dev/null
@@ -1,53 +0,0 @@
-import os
-import torch
-
-from torch.utils.data import DataLoader
-
-from neurobench.datasets import SpeechCommands
-from neurobench.processors.preprocessors import S2SPreProcessor
-from neurobench.processors.postprocessors import ChooseMaxCount
-
-from neurobench.models import SNNTorchModel
-from neurobench.benchmarks import Benchmark
-
-from neurobench.metrics.workload import (
-    ActivationSparsity,
-    SynapticOperations,
-    ClassificationAccuracy
-)
-from neurobench.metrics.static import (
-    Footprint,
-    ConnectionSparsity,
-)
-
-from SNN import net
-
-device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
-
-file_path = os.path.dirname(os.path.abspath(__file__))
-model_path = os.path.join(file_path, "model_data/s2s_gsc_snntorch")
-data_dir = os.path.join(file_path, "../../data/speech_commands") # data in repo root dir
-
-test_set = SpeechCommands(path=data_dir, subset="testing")
-
-test_set_loader = DataLoader(test_set, batch_size=500, shuffle=True)
-
-net.load_state_dict(torch.load(model_path, map_location=torch.device('cpu')))
-
-## Define model ##
-model = SNNTorchModel(net)
-
-preprocessors = [S2SPreProcessor(device=device)]
-postprocessors = [ChooseMaxCount()]
-
-static_metrics = [Footprint, ConnectionSparsity]
-workload_metrics = [ClassificationAccuracy, ActivationSparsity, SynapticOperations]
-
-benchmark = Benchmark(model, test_set_loader, preprocessors, postprocessors, [static_metrics, workload_metrics])
-results = benchmark.run(device=device)
-print(results)
-
-# Results:
-# {'Footprint': 583900, 'ConnectionSparsity': 0.0, 
-# 'ClassificationAccuracy': 0.85633802969095, 'ActivationSparsity': 0.9668664144456199, 
-# 'SynapticOperations': {'Effective_MACs': 0.0, 'Effective_ACs': 3289834.3206724217, 'Dense': 29030400.0}}
-\ No newline at end of file