Missing test update for previous commit; another target for moons_dem…

…o_parallel :-(

test/hello_world_op.ml

@@ -390,9 +390,9 @@ let%expect_test "Matrix multiplication dims 2x3" =
     │┌──────┬──────────────────┐│
     ││      │axis 1            ││
     │├──────┼──────────────────┤│
-    ││axis 0│ 3.69e-2  4.69e-1 ││
-    ││      │ 8.17e-1  9.70e-1 ││
-    ││      │ 1.94e-1  5.50e-1 ││
+    ││axis 0│ 7.00e+0  7.00e+0 ││
+    ││      │ 7.00e+0  7.00e+0 ││
+    ││      │ 7.00e+0  7.00e+0 ││
     │└──────┴──────────────────┘│
     └───────────────────────────┘
     |}];
@@ -404,7 +404,7 @@ let%expect_test "Matrix multiplication dims 2x3" =
     │┌┬───────────────────────────┐│
     │││axis 0                     ││
     │├┼───────────────────────────┤│
-    │││ 5.48e+0  9.54e+0  8.04e+0 ││
+    │││ 3.90e+1  4.00e+1  4.10e+1 ││
     │└┴───────────────────────────┘│
     └──────────────────────────────┘
     |}]

test/moons_demo_parallel.ml

@@ -86,6 +86,8 @@ let%expect_test "Half-moons data parallel" =
      the results from the various CI targets. The first result is the one typically observed, the
      second comes from targets debian-arm64 and debian-s390x, the third one from debian-ppc. *)
   let result = [%expect.output] in
+  (* TODO: this approach is bordering on ridiculous, might be worth figuring out why computations
+     don't reproduce across machines. *)
   let typical_target_sync_cc =
     {|
 Batch=19, step=20, lr=0.195250, batch loss=0.263769, epoch loss=45.768608
@@ -2006,6 +2008,91 @@ Half-moons scatterplot and decision boundary:
 *************...............................................%%%%%%%%%%%%%%%%%.%%%%%%%%%%%%%%%%%%%.......................
 *************...................................................%%%%%%.%%%%%%%%%%%%%%%%%%%%%%%..........................
 ************.......................................................%....%%%%%.%%..%%%%...%..............................|}
+  in
+  let yet_another_unknown_target_cc =
+    {|
+Batch=59, step=60, lr=0.195250, batch loss=0.749789, epoch loss=43.171278
+Epoch=0, step=60, lr=0.195250, epoch loss=43.171278
+Batch=59, step=120, lr=0.190250, batch loss=0.218655, epoch loss=5.839153
+Epoch=1, step=120, lr=0.190250, epoch loss=5.839153
+Batch=59, step=180, lr=0.185250, batch loss=0.208395, epoch loss=5.448813
+Epoch=2, step=180, lr=0.185250, epoch loss=5.448813
+Batch=59, step=240, lr=0.180250, batch loss=0.196621, epoch loss=5.325810
+Epoch=3, step=240, lr=0.180250, epoch loss=5.325810
+Batch=59, step=300, lr=0.175250, batch loss=0.186121, epoch loss=5.170299
+Epoch=4, step=300, lr=0.175250, epoch loss=5.170299
+Batch=59, step=360, lr=0.170250, batch loss=0.180507, epoch loss=5.061864
+Epoch=5, step=360, lr=0.170250, epoch loss=5.061864
+Batch=59, step=420, lr=0.165250, batch loss=0.172365, epoch loss=4.893441
+Epoch=6, step=420, lr=0.165250, epoch loss=4.893441
+Batch=59, step=480, lr=0.160250, batch loss=0.162584, epoch loss=4.679206
+Epoch=7, step=480, lr=0.160250, epoch loss=4.679206
+Batch=59, step=540, lr=0.155250, batch loss=0.147302, epoch loss=4.406136
+Epoch=8, step=540, lr=0.155250, epoch loss=4.406136
+Batch=59, step=600, lr=0.150250, batch loss=0.125581, epoch loss=3.903514
+Epoch=9, step=600, lr=0.150250, epoch loss=3.903514
+Batch=59, step=660, lr=0.145250, batch loss=0.098771, epoch loss=3.332015
+Epoch=10, step=660, lr=0.145250, epoch loss=3.332015
+Batch=59, step=720, lr=0.140250, batch loss=0.071966, epoch loss=2.731438
+Epoch=11, step=720, lr=0.140250, epoch loss=2.731438
+Batch=59, step=780, lr=0.135250, batch loss=0.037383, epoch loss=2.074802
+Epoch=12, step=780, lr=0.135250, epoch loss=2.074802
+Batch=59, step=840, lr=0.130250, batch loss=0.022974, epoch loss=1.449171
+Epoch=13, step=840, lr=0.130250, epoch loss=1.449171
+Batch=59, step=900, lr=0.125250, batch loss=0.011524, epoch loss=0.829769
+Epoch=14, step=900, lr=0.125250, epoch loss=0.829769
+Batch=59, step=960, lr=0.120250, batch loss=0.006678, epoch loss=0.468067
+Epoch=15, step=960, lr=0.120250, epoch loss=0.468067
+Batch=59, step=1020, lr=0.115250, batch loss=0.005397, epoch loss=0.296114
+Epoch=16, step=1020, lr=0.115250, epoch loss=0.296114
+Batch=59, step=1080, lr=0.110250, batch loss=0.003948, epoch loss=0.272232
+Epoch=17, step=1080, lr=0.110250, epoch loss=0.272232
+Batch=59, step=1140, lr=0.105250, batch loss=0.004124, epoch loss=0.210224
+Epoch=18, step=1140, lr=0.105250, epoch loss=0.210224
+Batch=59, step=1200, lr=0.100250, batch loss=0.004163, epoch loss=0.187330
+Epoch=19, step=1200, lr=0.100250, epoch loss=0.187330
+
+Half-moons scatterplot and decision boundary:
+***************************************#********************************************************************************
+***************************#*#*#########*###**######********************************************************************
+***************************######*####*#*#####*########*#***************************************************************
+*********************#**#########**#######*###############*###**********************************************************
+******************####*####################################*###*********************************************************
+***************#*#*###*###*###########*#*##*#####################*******************************************************
+************#*######**#########*##*****************##*##*########*#*****************************************************
+*************########*#*###*#**********************#******####*######***************************************************
+**************#######*#*##******************************#########*##*##*********************************************....
+**********#######*###*#****************************************###**###*#****************************************.......
+********#*######**##***************......*********************#*##*####*#*************************************..........
+********###*#*#**##************..............******************###########*#********************************............
+******########***************........%....%.%...*******************##########*****************************............%.
+*******#######*************...........%...........******************##*######****************************........%.%..%.
+****##########*************...........%%%.%%%......*****************##########*************************........%..%%%%%.
+*****######*#*************...........%%%.%...........**************#*#########************************.........%.%.%%..%
+**######*#***************............%%%%%%%%.........*****************#*##*###**********************...........%%%%%%%.
+**##*#####***************.............%%%%%%%...........**************#########********************.............%%.%%%..
+**########**************.............%%%%%%%%.............**************##*######*****************..............%%%%%%%.
+*########***************.............%%%.%%%.%%............**************#####******************..............%%%%%%%%%.
+*########**************...............%%%%%%%%%..............************###*##*#**************................%%%%%%%..
+##*######*************................%%%%%%%.%...............************######*#***********.................%%%%%%%%..
+######*##*************................%%.%%%%%%.................**********########**********..................%%%%.%%.%.
+###*##**#************..................%.%%%%%%%%.................*********#####*#********...................%%%%%%%%...
+##*#####************....................%%%%%%.%.%.................*******#*#*####*******...................%%.%%%%%....
+#####*##************....................%.%%%%%%%%...................*****##**##*******...................%%%%%%%%%%%...
+**#*##*#***********......................%%%.%%%%%.%..................****#####*#*****.....................%%%%%%%......
+##****##**********........................%%.%%%%%%%%...................****###*##**....................%%%%%%%%%%......
+******************........................%%.%%%%%%%......................*********.....................%..%%.%%%.......
+*****************...........................%...%%%%%.%%...................******..................%.%%%%%%%%%%.........
+****************..............................%.%%%%%.%%%%...................***...................%%%%%%%%.%.%%........
+****************................................%..%%%%%...%......................................%%%%%%%%%%............
+***************...................................%%%.%%%%%%%%..............................%%..%%%%.%%%%%.%............
+***************..................................%%%.%%%%%%.%%...%.........................%.%%%%%%%.%%%.%..............
+**************.......................................%.%%%.%%%%%%%%%...................%.%%%%%%%%%%%%%.%.%..............
+*************.........................................%.%%%%.%%%%%%%%%.%%%%%%%%%.%.%%%%%%%%%%%%%%%%%%%.%................
+*************...........................................%%%%%%%%%%%%%%%%%%%%%.%%%%%%%.%%%.%%%%%%%%%%....................
+************................................................%%%%%%%%%%%%%%%%%.%%%%%%%%%%%%%%%%%%%.......................
+***********.....................................................%%%%%%.%%%%%%%%%%%%%%%%%%%%%%%..........................
+***********........................................................%....%%%%%.%%..%%%%...%..............................|}
   in
   let result_deltas =
     List.map
@@ -2022,6 +2109,7 @@ Half-moons scatterplot and decision boundary:
         ("another_unknown_target_cc", another_unknown_target_cc);
         ("another_mac_arm64_target_cc", another_mac_arm64_target_cc);
         ("another_mac_target_cc", another_mac_target_cc);
+        ("yet_another_unknown_target_cc", yet_another_unknown_target_cc);
       ]
       ~f:(fun (name, target) -> (name, Expect_test_patdiff.patdiff target result))
   in