add an interface for dask.fft

Author: vtavana

.github/workflows/build-with-clang.yml

@@ -73,5 +73,5 @@ jobs:
       - name: Run mkl_fft tests
         run: |
           source ${{ env.ONEAPI_ROOT }}/setvars.sh
-          pip install scipy mkl-service pytest
+          pip install pytest mkl-service scipy dask
           pytest -s -v --pyargs mkl_fft

.github/workflows/conda-package-cf.yml

@@ -142,7 +142,7 @@ jobs:
       - name: Install mkl_fft
         run: |
           CHANNELS="-c $GITHUB_WORKSPACE/channel ${{ env.CHANNELS }}"
-          conda create -n ${{ env.TEST_ENV_NAME }} python=${{ matrix.python_ver }} ${{ matrix.numpy }} $PACKAGE_NAME pytest scipy $CHANNELS
+          conda create -n ${{ env.TEST_ENV_NAME }} python=${{ matrix.python_ver }} ${{ matrix.numpy }} $PACKAGE_NAME pytest scipy dask $CHANNELS
           # Test installed packages
           conda list -n ${{ env.TEST_ENV_NAME }}
 
@@ -318,7 +318,7 @@ jobs:
           FOR /F "tokens=* USEBACKQ" %%F IN (`python -c "%SCRIPT%"`) DO (
              SET PACKAGE_VERSION=%%F
           )
-          SET "TEST_DEPENDENCIES=pytest scipy"
+          SET "TEST_DEPENDENCIES=pytest scipy dask"
           conda install -n ${{ env.TEST_ENV_NAME }} ${{ env.PACKAGE_NAME }}=%PACKAGE_VERSION% %TEST_DEPENDENCIES% python=${{ matrix.python }} ${{ matrix.numpy }} -c ${{ env.workdir }}/channel ${{ env.CHANNELS }}
 
       - name: Report content of test environment

.github/workflows/conda-package.yml

@@ -140,7 +140,7 @@ jobs:
       - name: Install mkl_fft
         run: |
           CHANNELS="-c $GITHUB_WORKSPACE/channel ${{ env.CHANNELS }}"
-          conda create -n ${{ env.TEST_ENV_NAME }} $PACKAGE_NAME=${{ env.PACKAGE_VERSION }} python=${{ matrix.python }} pytest $CHANNELS
+          conda create -n ${{ env.TEST_ENV_NAME }} $PACKAGE_NAME=${{ env.PACKAGE_VERSION }} python=${{ matrix.python }} pytest dask $CHANNELS
           if [[ "${{ matrix.python }}" != 3.9* ]]; then
             # Intel channel only has scipy=1.10 for Python 3.9, which needs mkl<2025
             # while scipy needs to install numpy and mkl_random and mkl_random-1.2.11 requires mkl>=2025
@@ -313,7 +313,7 @@ jobs:
           FOR /F "tokens=* USEBACKQ" %%F IN (`python -c "%SCRIPT%"`) DO (
              SET PACKAGE_VERSION=%%F
           )
-          SET "TEST_DEPENDENCIES=pytest"
+          SET "TEST_DEPENDENCIES=pytest dask"
           conda install -n ${{ env.TEST_ENV_NAME }} ${{ env.PACKAGE_NAME }}=%PACKAGE_VERSION% %TEST_DEPENDENCIES% python=${{ matrix.python }} -c ${{ env.workdir }}/channel ${{ env.CHANNELS }}
           if ("${{ matrix.python }}" -ne "3.9") {
             conda install -n ${{ env.TEST_ENV_NAME }} scipy -c ${{ env.workdir }}/channel ${{ env.CHANNELS }}

CHANGELOG.md

@@ -8,6 +8,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ### Added
 * Enabled support of Python 3.13 [gh-164](https://github.com/IntelPython/mkl_fft/pull/164)
+* Added a new interface for FFT module of Dask accessible through `mkl_fft.interfaces.dask_fft` [gh-214](https://github.com/IntelPython/mkl_fft/pull/214)
 
 ### Changed
 * Replaced `fwd_scale` parameter with `norm` in `mkl_fft` [gh-189](https://github.com/IntelPython/mkl_fft/pull/189)

conda-recipe-cf/meta.yaml

@@ -33,11 +33,13 @@ test:
     requires:
       - pytest
       - scipy >=1.10
+      - dask
     imports:
       - mkl_fft
       - mkl_fft.interfaces
       - mkl_fft.interfaces.numpy_fft
       - mkl_fft.interfaces.scipy_fft
+      - mkl_fft.interfaces.dask_fft
 
 about:
     home: http://github.com/IntelPython/mkl_fft

conda-recipe/meta.yaml

@@ -38,11 +38,13 @@ test:
     requires:
       - pytest
       - scipy >=1.10
+      - dask
     imports:
       - mkl_fft
       - mkl_fft.interfaces
       - mkl_fft.interfaces.numpy_fft
       - mkl_fft.interfaces.scipy_fft
+      - mkl_fft.interfaces.dask_fft
 
 about:
     home: http://github.com/IntelPython/mkl_fft

mkl_fft/interfaces/README.md

@@ -1,5 +1,5 @@
 # Interfaces
-The `mkl_fft` package provides interfaces that serve as drop-in replacements for equivalent functions in NumPy and SciPy.
+The `mkl_fft` package provides interfaces that serve as drop-in replacements for equivalent functions in NumPy, SciPy, and Dask.
 
 ---
 
@@ -124,3 +124,43 @@ with mkl_fft.set_workers(4):
     y = scipy.signal.fftconvolve(a, a)  # Note that Nthr:4
 # MKL_VERBOSE FFT(dcbo256x128,input_strides:{0,128,1},output_strides:{0,128,1},bScale:3.05176e-05,tLim:4,unaligned_output,desc:0x563aefe86180) 187.37us CNR:OFF Dyn:1 FastMM:1 TID:0  NThr:4
 ```
+
+---
+
+## Dask interface - `mkl_fft.interfaces.dask_fft`
+
+This interface is a drop-in replacement for the [`dask.fft`](https://dask.pydata.org/en/latest/array-api.html#fast-fourier-transforms) module and includes **all** the functions available there:
+
+* complex-to-complex FFTs: `fft`, `ifft`, `fft2`, `ifft2`, `fftn`, `ifftn`.
+
+* real-to-complex and complex-to-real FFTs: `rfft`, `irfft`, `rfft2`, `irfft2`, `rfftn`, `irfftn`.
+
+* Hermitian FFTs: `hfft`, `ihfft`.
+
+* Helper routines: `fft_wrap`, `fftfreq`, `rfftfreq`, `fftshift`, `ifftshift`. These routines serve as a fallback to the Dask implementation and are included for completeness.
+
+The following example shows how to use this interface for calculating a 2D FFT.
+
+```python
+import numpy, dask
+import mkl_fft.interfaces.dask_fft as dask_fft
+
+a = numpy.random.randn(128, 64) + 1j*numpy.random.randn(128, 64)
+x = dask.array.from_array(a, chunks=(64, 64))
+lazy_res = dask_fft.fft(x)
+mkl_res = lazy_res.compute()
+np_res = numpy.fft.fft(a)
+numpy.allclose(mkl_res, np_res)
+# True
+
+# There are two chunks in this example based on the size of input array (128, 64) and chunk size (64, 64)
+# to confirm that MKL FFT is called twice, turn on verbosity
+import mkl
+mkl.verbose(1)
+# True
+
+mkl_res = lazy_res.compute()  # MKL_VERBOSE FFT is shown twice below which means MKL FFT is called twice
+# MKL_VERBOSE oneMKL 2024.0 Update 2 Patch 2 Product build 20240823 for Intel(R) 64 architecture Intel(R) Advanced Vector Extensions 512 (Intel(R) AVX-512) with support for INT8, BF16, FP16 (limited) instructions, and Intel(R) Advanced Matrix Extensions (Intel(R) AMX) with INT8 and BF16, Lnx 3.80GHz intel_thread
+# MKL_VERBOSE FFT(dcfo64*64,input_strides:{0,1},output_strides:{0,1},input_distance:64,output_distance:64,bScale:0.015625,tLim:32,unaligned_input,desc:0x7fd000010e40) 432.84us CNR:OFF Dyn:1 FastMM:1 TID:0  NThr:112
+# MKL_VERBOSE FFT(dcfo64*64,input_strides:{0,1},output_strides:{0,1},input_distance:64,output_distance:64,bScale:0.015625,tLim:32,unaligned_input,desc:0x7fd480011300) 499.00us CNR:OFF Dyn:1 FastMM:1 TID:0  NThr:112
+```

mkl_fft/interfaces/__init__.py

@@ -26,8 +26,17 @@
 from . import numpy_fft
 
 try:
-    import scipy.fft
+    # check to see if scipy is installed
+    import scipy
 except ImportError:
     pass
 else:
     from . import scipy_fft
+
+try:
+    # check to see if dask is installed
+    import dask
+except ImportError:
+    pass
+else:
+    from . import dask_fft

mkl_fft/interfaces/dask_fft.py

@@ -0,0 +1,67 @@
+#!/usr/bin/env python
+# Copyright (c) 2025, Intel Corporation
+#
+# Redistribution and use in source and binary forms, with or without
+# modification, are permitted provided that the following conditions are met:
+#
+#     * Redistributions of source code must retain the above copyright notice,
+#       this list of conditions and the following disclaimer.
+#     * Redistributions in binary form must reproduce the above copyright
+#       notice, this list of conditions and the following disclaimer in the
+#       documentation and/or other materials provided with the distribution.
+#     * Neither the name of Intel Corporation nor the names of its contributors
+#       may be used to endorse or promote products derived from this software
+#       without specific prior written permission.
+#
+# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE
+# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+from dask.array.fft import fft_wrap, fftfreq, fftshift, ifftshift, rfftfreq
+
+from . import numpy_fft as _numpy_fft
+
+__all__ = [
+    "fft",
+    "ifft",
+    "fft2",
+    "ifft2",
+    "fftn",
+    "ifftn",
+    "rfft",
+    "irfft",
+    "rfft2",
+    "irfft2",
+    "rfftn",
+    "irfftn",
+    "hfft",
+    "ihfft",
+    "fftshift",
+    "ifftshift",
+    "fftfreq",
+    "rfftfreq",
+    "fft_wrap",
+]
+
+
+fft = fft_wrap(_numpy_fft.fft)
+ifft = fft_wrap(_numpy_fft.ifft)
+fft2 = fft_wrap(_numpy_fft.fft2)
+ifft2 = fft_wrap(_numpy_fft.ifft2)
+fftn = fft_wrap(_numpy_fft.fftn)
+ifftn = fft_wrap(_numpy_fft.ifftn)
+rfft = fft_wrap(_numpy_fft.rfft)
+irfft = fft_wrap(_numpy_fft.irfft)
+rfft2 = fft_wrap(_numpy_fft.rfft2)
+irfft2 = fft_wrap(_numpy_fft.irfft2)
+rfftn = fft_wrap(_numpy_fft.rfftn)
+irfftn = fft_wrap(_numpy_fft.irfftn)
+hfft = fft_wrap(_numpy_fft.hfft)
+ihfft = fft_wrap(_numpy_fft.ihfft)

mkl_fft/tests/test_interfaces.py

@@ -34,11 +34,19 @@
 except AttributeError:
     scipy_fft = None
 
+try:
+    dask_fft = mfi.dask_fft
+except AttributeError:
+    dask_fft = None
+
 interfaces = []
 ids = []
 if scipy_fft is not None:
     interfaces.append(scipy_fft)
     ids.append("scipy")
+if dask_fft is not None:
+    interfaces.append(dask_fft)
+    ids.append("dask")
 interfaces.append(mfi.numpy_fft)
 ids.append("numpy")
 
@@ -189,3 +197,7 @@ def test_axes(interface):
 )
 def test_interface_helper_functions(interface, func):
     assert hasattr(interface, func)
+
+
+def test_dask_fftwrap():
+    assert hasattr(mfi.dask_fft, "fft_wrap")