Python NumPy nanmean() function is used to compute the arithmetic mean or average of the array along a specified axis while ignoring NaN (Not a Number) values. If the array has a NaN value and you can find out the average without being influenced by the NaN value. The mean/average is...
assertnp.array_equal(next_resp_full,resp4) 4545 4646 47- asyncio.run(test_inference_engine(MLXDynamicShardInferenceEngine(HFShardDownloader()),MLXDynamicShardInferenceEngine(HFShardDownloader()),"llama-3.2-1b",16)) 47+ asyncio.run(test_inference_engine(MLXDynamicShardInferenceEngine(NewShardDownloade...
Demo import matplotlib.pyplot as plt import numpy as np # 绘制普通图像 x = np.linspace(-1, ...
array(g) + 0.1140 * np.array(b)), 'L') elif x.mode != 'L': raise ValueError("Unsupported image mode, expected 'RGB' or 'L', got {}".format(x.mode)) mask = torch.from_numpy(np.array(x).astype(np.float32) / 255.0).unsqueeze(0) return mask except Exception as e: print(...
array_equal(next_resp_full, resp4) 45 45 46 46 47 - asyncio.run(test_inference_engine(MLXDynamicShardInferenceEngine(HFShardDownloader()), MLXDynamicShardInferenceEngine(HFShardDownloader()), "llama-3.2-1b", 16)) 47 + asyncio.run(test_inference_engine(MLXDynamicShardInferenceEngine(NewS...