针对你提到的unexpected data type <class 'numpy.int32'>错误,以下是我基于提供的信息和你的提示进行的详细解答: 1. 确认问题来源 这个错误通常发生在某个函数或方法期望得到特定类型的数据,但实际上却接收到了numpy.int32类型的数据。错误来源可能是一段特定的代码,比如数组操作、文件写入或者函数调用等。
Exception: Unexpected data type <type 'numpy.float32'> jcohenadadassignedslevyrosettiMay 5, 2016 jcohenadadaddedbugcategory: fixes an error in the codepriority:HIGHlabelsMay 5, 2016 slevyrosettiadded a commit that referenced this issueMay 5, 2016 ...
numpy: <class 'numpy.ndarray'> (1000000,) >f4 nan: (array([], dtype=int64),) total: 499.99963 --- cupy: <class 'cupy.core.core.ndarray'> (1000000,) >f4 nan: (array([ 213, 385, 426, ..., 999227, 999242, 999391]),) total: nan The numpy array shows no NaNs as expected...
Description import jax.numpy as jnp import jax import flax.linen as nn from collections.abc import Callable import time class rbfnet(nn.Module): pointnums: int = 100 areafun: Callable = nn.silu init_value: jax.Array = jnp.ones((100, 3)) ...
numpy 1.24.1 pypi_0 pypi openpyxl 3.1.2 pypi_0 pypi openssl 1.1.1t h7f8727e_0 defaults orjson 3.8.12 pypi_0 pypi packaging 23.1 pypi_0 pypi pandas 2.0.1 pypi_0 pypi pandocfilters 1.5.0 pypi_0 pypi parso 0.8.3 pypi_0 pypi ...
GitPython==3.1.32 Pillow==9.5.0 accelerate==0.21.0 basicsr==1.4.2 blendmodes==2022 clean-fid==0.1.35 einops==0.4.1 fastapi==0.94.0 gfpgan==1.3.8 gradio==3.41.2 httpx==0.24.1 httpcore==0.15 inflection==0.5.1 jsonmerge==1.8.0 kornia==0.6.7 lark==1.1.2 numpy==1.23.5 omegacon...
(1,activation='sigmoid')(x)model=tf.keras.Model(i,o)model.compile('adam','mae')defgen():foriinitertools.count(1):yield[float(i)], [float(i)]ds=tf.data.Dataset.from_generator(gen, (tf.float32,tf.float32), (tf.TensorShape([1]),tf.TensorShape([1])))model.fit(ds,steps_per_...