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Update for NumPy 2.0+ compatibility #337

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8 changes: 4 additions & 4 deletions skcuda/fft.py
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Original file line number Diff line number Diff line change
Expand Up @@ -186,13 +186,13 @@ def _fft(x_gpu, y_gpu, plan, direction, scale=None):
raise ValueError('can only compute in-place transform of complex data')

if direction == cufft.CUFFT_FORWARD and \
plan.in_dtype in np.sctypes['complex'] and \
plan.out_dtype in np.sctypes['float']:
plan.in_dtype in [np.dtype(t).type for t in np.typecodes['Complex']] and \
plan.out_dtype in [np.dtype(t).type for t in np.typecodes['Float']]:
raise ValueError('cannot compute forward complex -> real transform')

if direction == cufft.CUFFT_INVERSE and \
plan.in_dtype in np.sctypes['float'] and \
plan.out_dtype in np.sctypes['complex']:
plan.in_dtype in [np.dtype(t).type for t in np.typecodes['Float']] and \
plan.out_dtype in [np.dtype(t).type for t in np.typecodes['Complex']]:
raise ValueError('cannot compute inverse real -> complex transform')

if plan.fft_type in [cufft.CUFFT_C2C, cufft.CUFFT_Z2Z]:
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2 changes: 1 addition & 1 deletion skcuda/misc.py
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Expand Up @@ -634,7 +634,7 @@ def diff(x_gpu):


# List of available numerical types provided by numpy:
num_types = [np.sctypeDict[t] for t in \
num_types = [np.dtype(t).type for t in \
np.typecodes['AllInteger']+np.typecodes['AllFloat']]

# Numbers of bytes occupied by each numerical type:
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