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Results 1 - 2 of 2 for RFFT2D (0.07 sec)
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tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
} def TF_RFFT2DOp : TF_Op<"RFFT2D", [Pure]> { let summary = "2D real-valued fast Fourier transform."; let description = [{ Computes the 2-dimensional discrete Fourier transform of a real-valued signal over the inner-most 2 dimensions of `input`. Since the DFT of a real signal is Hermitian-symmetric, `RFFT2D` only returns 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 dynamic range quantization support for the BatchMatMul op. * Both symmetric and asymmetric quantized input tensor are supported. * Add `RFFT2D` as builtin op. (`RFFT2D` also supports `RFFTD`.) Currently only supports float32 input. * Add 5D support to `SLICE` op. * TFLite Supports SingatureDef: * TFLiteConverter exports models with SignatureDef
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)