Numpy 2.0 will explicitly downcast now, which casues us to see a regerssion in the conversion for the audio model.
BUG=[361070678](https://b.corp.google.com/issues/361070678)
Functionality to use the rest of the Signal Library OPs directly from python.
Test with `bazel run python/tflite_micro/signal:stacker_op_test` and `bazel run python/tflite_micro/signal:filter_bank_ops_test`
BUG=[287346710](http://b/287346710)
We this PR, you can use these ops directly from python, including in TF graphs.
Test with `bazel run python/tflite_micro/signal:framer_op_test`, etc.
BUG=[287346710](http://b/287346710)
Extends the Signal Library Delay OP to be usable from python.
Can test via `bazel run python/tflite_micro/signal:delay_op_test`
BUG=[287346710](http://b/287346710)
This PR adds additional FFT op functionality in the Signal library, namely adding the FFT Auto Scale operation.
Testing added in the original `fft_test.cc` and `fft_ops_test.py`.
BUG=[287346710](http://b/287346710)
Second OP for the TFLM Signal library, Real-Valued Fast Fourier Transform.
The RFFT OP provides three resolutions: `FLOAT, INT16, INT32`
Similar usage as to previous Window OP:
* `op_resolver.AddRfft()` (which will add all resolutions, and determine the type at runtime)
* `op_resolver.AddRfftFloat()`, `op_resolver.AddRfftInt16()`, `op_resolver.AddRfftInt32()` for a specific resolution type.
* or via python as can be seen in `fft_ops_test.py`
3 testing options are provided:
* Micro(C++): bazel run signal/micro/kernels:fft_test
* Tensorflow/Micro(Python): bazel run python/tflite_micro/signal:fft_ops_test
* Makefile(C++): make -f tensorflow/lite/micro/tools/make/Makefile test_kernel_fft_test
BUG=[287346710](http://b/287346710)
We have some name clash issues with the current Window OP name.
We will be changing it from "Window"->"SignalWindow" until the names clashes are resolved and revert back afterwards.
This is an internal implementation detail, so user level API has no change from current usage, i.e. still use (op_resolver.AddWindow() and window_op.window)
BUG=[286250473](http://b/286250473)
First Op for the TFLM Signal Processing Ops library.
Doc linked in bug.
The Window OP is a custom signal processing OP similar to what is found in tf.signal library, but specific for integer (int16) purposes.
You can directly use this as a builtin op via the op resolver as:
* `op_resolver.AddWindow()`
* or via python as shown in `window_op_test.py`
3 testing options are provided:
* Micro(C++): `bazel run signal/micro/kernels:window_test`
* Tensorflow/Micro(Python): `bazel run python/tflite_micro/signal:window_op_test`
* Makefile(C++): `make -f tensorflow/lite/micro/tools/make/Makefile test_kernel_window_test`
BUG=[259145369](http://b/259145369)
