We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Repeated indices in axes keyword are ignored while the transform over the repeated axis should be performed multiple times. Result from stock NumPy
axes
NumPy
# Name Version Build Channel # ────────────────────────────────────────────── # numpy 1.26.4 py310hb13e2d6_0 conda-forge >>> import numpy >>> in_arr = [[5, 4, 6, 3, 7], [-1, -3, -4, -7, 0]] >>> dtype = numpy.complex64 >>> a_np = numpy.array(in_arr, dtype=dtype) >>> numpy.fft.fft2(a_np, axes=(0,1)) # array([[10. +0.j , 8.09016994+2.17962758j, -3.09016994+9.23305061j, -3.09016994-9.23305061j, 8.09016994-2.17962758j], [40. +0.j , -5.85410197+0.j , 0.85410197+0.j , 0.85410197+0.j , -5.85410197+0.j ]]) >>> numpy.fft.fft2(a_np, axes=(0,1,1)) # array([[ 20.+0.j, 35.+0.j, -20.+0.j, 10.+0.j, 5.+0.j], [ 30.+0.j, 35.+0.j, 50.+0.j, 50.+0.j, 35.+0.j]])
Result from mkl_fft package (NumPy from intel channel)
mkl_fft
# Name Version Build Channel # ──────────────────────────────────────────────────── # numpy 1.26.4 py310h689b997_1 intel # numpy-base 1.26.4 py310h8eeea18_1 intel # mkl_fft 1.3.8 py310h6b114c4_70 intel >>> import numpy >>> in_arr = [[5, 4, 6, 3, 7], [-1, -3, -4, -7, 0]] >>> dtype = numpy.complex64 >>> a_np = numpy.array(in_arr, dtype=dtype) >>> numpy.fft.fft2(a_np, axes=(0,1)) # array([[10. +0.j , 8.09017 +2.179628j, -3.09017 +9.233051j, -3.09017 -9.233051j, 8.09017 -2.179628j], [40. +0.j , -5.854102 +0.j , 0.85410213+0.j , 0.85410213+0.j , -5.854102 +0.j ]], dtype=complex64) >>> numpy.fft.fft2(a_np, axes=(0,1,1)) # array([[10. +0.j , 8.09017 +2.179628j, -3.09017 +9.233051j, -3.09017 -9.233051j, 8.09017 -2.179628j], [40. +0.j , -5.854102 +0.j , 0.85410213+0.j , 0.85410213+0.j , -5.854102 +0.j ]], dtype=complex64)
The text was updated successfully, but these errors were encountered:
No branches or pull requests
Repeated indices in
axes
keyword are ignored while the transform over the repeated axis should be performed multiple times.Result from stock
NumPy
Result from
mkl_fft
package (NumPy
from intel channel)The text was updated successfully, but these errors were encountered: