转成了numpy之后,在用torch.jit.trace跟踪模型时,该值就会变成一个常量prim::Constant,如果没有转,会通过prim::GetAttr来获取变量。 没有转numpy 转了numpy之后 会有这样的一句提示 TracerWarning: Converting a tensor to a NumPy array might cause the trace to be incorrect. We can't record the data flow...
<div class="form-check mx-3 disabled" data-bs-toggle="tooltip" data-bs-title="{{ t('validation.you_must_be_logged_in_to_perform_this_action') }}" data-bs-placement="bottom"> <label class="form-check-label"> <input class="form-check-input" type="checkbox" name="remember-choice"...
:return: Smith Fidelity which is a scalar. """ if power < 0: raise ValueError("Power must be positive") if power >= 2: raise ValueError("Power must be less than 2") return np.sqrt(fidelity(rho, sigma)) ** power Example #3
If a pandas.DataFrame is provided, the output is returned as a pandas.DataFrame with named output columns.For example, inputs could be provided for the typical "OHLCV" data:import numpy as np # note that all ndarrays must be the same length! inputs = { 'open': np.random.random(100)...