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m1使用tensorflow遇到的问题

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m1使用tensorflow遇到的问题

复制代码
    2021-10-13 17:04:20.629210: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)
    2021-10-13 17:04:20.629440: W tensorflow/core/platform/profile_utils/cpu_utils.cc:126] Failed to get CPU frequency: 0 Hz
    2021-10-13 17:04:20.630210: F tensorflow/core/grappler/costs/op_level_cost_estimator.cc:710] Check failed: 0 < gflops (0 vs. 0)type: "CPU"
    model: "0"
    num_cores: 8
    environment {
      key: "cpu_instruction_set"
      value: "ARM NEON"
    }
    environment {
      key: "eigen"
      value: "3.3.90"
    }
    l1_cache_size: 16384
    l2_cache_size: 524288
    l3_cache_size: 524288
    memory_size: 268435456
    
    
    Process finished with exit code 134 (interrupted by signal 6: SIGABRT)

解决方案

复制代码
    ./download_and_install.sh
  • 使用pycharm导入下载安装好的python3
    在这里插入图片描述

    • 运行代码,使用ML Compute框架计算也是非常快的
复制代码
    /Users/enriqueleo/tensorflow_macos_venv/bin/python3 /Users/enriqueleo/PycharmProjects/tensorflow/main.py
    2021-10-13 17:15:48.518614: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)
    2021-10-13 17:15:48.519757: W tensorflow/core/platform/profile_utils/cpu_utils.cc:126] Failed to get CPU frequency: 0 Hz
    Epoch 1/10
    WARNING:tensorflow:AutoGraph could not transform <function Model.make_train_function.<locals>.train_function at 0x10e42dca0> and will run it as-is.
    Please report this to the TensorFlow team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output.
    Cause: unsupported operand type(s) for -: 'NoneType' and 'int'
    To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert
    1875/1875 [==============================] - 1s 340us/step - loss: 2.3620 - accuracy: 0.0992
    Epoch 2/10
    1875/1875 [==============================] - 1s 329us/step - loss: 2.3619 - accuracy: 0.0992
    Epoch 3/10
    1875/1875 [==============================] - 1s 331us/step - loss: 2.3607 - accuracy: 0.1004
    Epoch 4/10
    1875/1875 [==============================] - 1s 329us/step - loss: 2.3616 - accuracy: 0.0995
    Epoch 5/10
    1875/1875 [==============================] - 1s 329us/step - loss: 2.3600 - accuracy: 0.1011
    Epoch 6/10
    1875/1875 [==============================] - 1s 329us/step - loss: 2.3605 - accuracy: 0.1007
    Epoch 7/10
    1875/1875 [==============================] - 1s 329us/step - loss: 2.3599 - accuracy: 0.1012
    Epoch 8/10
    1875/1875 [==============================] - 1s 328us/step - loss: 2.3619 - accuracy: 0.0993
    Epoch 9/10
    1875/1875 [==============================] - 1s 337us/step - loss: 2.3613 - accuracy: 0.0999
    Epoch 10/10
    1875/1875 [==============================] - 1s 329us/step - loss: 2.3602 - accuracy: 0.1010
    
    Process finished with exit code 0

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