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tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test.py
def get_mean_square_error(x, y): ret = tensorflow.reduce_mean(tensorflow.square(tensorflow.subtract(x, y))) try: ret = ret.numpy() except AttributeError: ret = ret.eval() return ret min_max_mse = get_mean_square_error(original_output, min_max_output) average_min_max_mse = get_mean_square_error(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 235.6K bytes - Viewed (0)