@@ -26,7 +26,7 @@ def new_iterator(data, n_jobs, batch_size, repeat=True, shuffle=True, n_prefetch
warnings.warn(f"Could not parse input_shape: \"{input_shape}\". Falling back to a default value of (512, 512)")
input_shape = (512, 512)
- shared_mem_shape = (batch_size, 3) + input_shape
+ shared_mem_shape = (3,) + input_shape
shared_mem = np.zeros(shared_mem_shape, dtype=np.float32).nbytes
logging.info(f"Using {shared_mem / 1024**2: .3f} MiB of shared memory")