run precommit

dev/test_pfft.py

@@ -1,57 +1,80 @@
 # Can be executed with:
 # srun  -n 4 -c 32 --gpus-per-task 1 --gpu-bind=none python test_pfft.py
-import jax 
+from functools import partial
+
+import jax
+import jax.lax as lax
 import jax.numpy as jnp
 import numpy as np
-import jax.lax as lax
-from jax.experimental.maps import xmap
-from jax.experimental.maps import Mesh
+from jax.experimental.maps import Mesh, xmap
 from jax.experimental.pjit import PartitionSpec, pjit
-from functools import partial
 
 jax.distributed.initialize()
 
 cube_size = 2048
 
+
 @partial(xmap,
          in_axes=[...],
-         out_axes=['x','y', ...],
-         axis_sizes={'x':cube_size, 'y':cube_size},
-         axis_resources={'x': 'nx', 'y':'ny',
-                         'key_x':'nx', 'key_y':'ny'})
+         out_axes=['x', 'y', ...],
+         axis_sizes={
+             'x': cube_size,
+             'y': cube_size
+         },
+         axis_resources={
+             'x': 'nx',
+             'y': 'ny',
+             'key_x': 'nx',
+             'key_y': 'ny'
+         })
 def pnormal(key):
     return jax.random.normal(key, shape=[cube_size])
 
+
 @partial(xmap,
-         in_axes={0:'x', 1:'y'},
-         out_axes=['x','y', ...],
-         axis_resources={'x': 'nx', 'y': 'ny'})
+         in_axes={
+             0: 'x',
+             1: 'y'
+         },
+         out_axes=['x', 'y', ...],
+         axis_resources={
+             'x': 'nx',
+             'y': 'ny'
+         })
 @jax.jit
 def pfft3d(mesh):
     # [x, y, z]
-    mesh = jnp.fft.fft(mesh) # Transform on z
-    mesh = lax.all_to_all(mesh, 'x', 0, 0) # Now x is exposed, [z,y,x]
-    mesh = jnp.fft.fft(mesh) # Transform on x
-    mesh = lax.all_to_all(mesh, 'y', 0, 0) # Now y is exposed, [z,x,y]
-    mesh = jnp.fft.fft(mesh) # Transform on y
+    mesh = jnp.fft.fft(mesh)  # Transform on z
+    mesh = lax.all_to_all(mesh, 'x', 0, 0)  # Now x is exposed, [z,y,x]
+    mesh = jnp.fft.fft(mesh)  # Transform on x
+    mesh = lax.all_to_all(mesh, 'y', 0, 0)  # Now y is exposed, [z,x,y]
+    mesh = jnp.fft.fft(mesh)  # Transform on y
     # [z, x, y]
     return mesh
 
+
 @partial(xmap,
-         in_axes={0:'x', 1:'y'},
-         out_axes=['x','y', ...],
-         axis_resources={'x': 'nx', 'y': 'ny'})
+         in_axes={
+             0: 'x',
+             1: 'y'
+         },
+         out_axes=['x', 'y', ...],
+         axis_resources={
+             'x': 'nx',
+             'y': 'ny'
+         })
 @jax.jit
 def pifft3d(mesh):
     # [z, x, y]
-    mesh = jnp.fft.ifft(mesh) # Transform on y
-    mesh = lax.all_to_all(mesh, 'y', 0, 0) # Now x is exposed, [z,y,x]
-    mesh = jnp.fft.ifft(mesh) # Transform on x
-    mesh = lax.all_to_all(mesh, 'x', 0, 0) # Now z is exposed, [x,y,z]
-    mesh = jnp.fft.ifft(mesh) # Transform on z
+    mesh = jnp.fft.ifft(mesh)  # Transform on y
+    mesh = lax.all_to_all(mesh, 'y', 0, 0)  # Now x is exposed, [z,y,x]
+    mesh = jnp.fft.ifft(mesh)  # Transform on x
+    mesh = lax.all_to_all(mesh, 'x', 0, 0)  # Now z is exposed, [x,y,z]
+    mesh = jnp.fft.ifft(mesh)  # Transform on z
     # [x, y, z]
     return mesh
 
+
 key = jax.random.PRNGKey(42)
 # keys = jax.random.split(key, 4).reshape((2,2,2))
 
@@ -68,6 +91,6 @@ with Mesh(devices, ('nx', 'ny')):
 #     mesh = pnormal(key)
 #     kmesh = pfft3d(mesh)
 #     kmesh.block_until_ready()
-# jax.profiler.stop_trace()    
+# jax.profiler.stop_trace()
 
-print('Done')
+print('Done')