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Results 1 - 3 of 3 for rfft2d (0.17 sec)
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tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
over the inner-most 2 dimensions of `input`. Since the DFT of a real signal is Hermitian-symmetric, `RFFT2D` only returns the `fft_length / 2 + 1` unique components of the FFT for the inner-most dimension of `output`: the zero-frequency term, followed by the `fft_length / 2` positive-frequency terms. Along each axis `RFFT2D` is computed on, if `fft_length` is smaller than the
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0) -
RELEASE.md
* Added `dtensor.get_default_mesh`, for retrieving the current default mesh under the dtensor context. * \*fft\* ops now support dtensors with any layout. Fixed bug in 'fft2d/fft3d', 'ifft2d/ifft3d', 'rfft2d/rfft3d', and 'irfft2d/irfft3d' for sharde input. Refer to this [blog post](https://blog.tensorflow.org/2023/08/distributed-fast-fourier-transform-in-tensorflow.html) for details. * `tf.experimental.strict_mode`
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
symbolizeFftType(fft_string).value()), rewriter.getI64TensorAttr(fft_length)); return success(); } }; using ConvertRFFTOp = ConvertFFTOp<TF::RFFTOp>; using ConvertIRFFTOp = ConvertFFTOp<TF::IRFFTOp>; // The base class to convert TensorFlow FusedBatchNormGrad*Op to HLO // BatchNormGradOp for training and a sequence of binary ops for inference.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 291.8K bytes - Viewed (0)