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Update test expectations
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-32
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6 files changed

+49
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‎test/einsum/test_einsum_parser.expected‎

Lines changed: 23 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,23 @@
1+
Testing mode detection:
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✓ 'abc' -> single-char (expected single-char)
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✓ 'a,b,c' -> multichar (expected multichar)
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✓ '2*a+b' -> multichar (expected multichar)
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✓ 'a+b' -> multichar (expected multichar)
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✓ 'a*b' -> multichar (expected multichar)
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✓ 'a^b' -> multichar (expected multichar)
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✓ 'a&b' -> multichar (expected multichar)
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✓ 'a|b->c' -> single-char (expected single-char)
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✓ '...a..b' -> single-char (expected single-char)
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Testing single-char mode:
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'abc' -> 3 output axes
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'b|i->o' -> batch:1 input:1 output:1
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'ij;jk=>ik' -> (0,2);(0,2)=>(0,2)
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Testing multichar mode:
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'a, b, c' -> 3 output axes
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'a, b,' -> 2 output axes
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'2*o+k' -> 1 output axes
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'2*o+3*k, x' -> 2 output axes
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All tests passed!

‎test/einsum/test_interleave.ml‎

Lines changed: 12 additions & 18 deletions
Original file line numberDiff line numberDiff line change
@@ -1,25 +1,19 @@
1-
open Base
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open Ocannl
3-
open Nn_blocks.DSL_modules
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open! Base
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open! Ocannl
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open! Nn_blocks.DSL_modules
44

55
let () =
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(* FIXME: NOT IMPLEMENTED YET *)
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Tensor.unsafe_reinitialize ();
7-
let%op t1 = [ 1.0; 2.0; 3.0 ] in
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(* let%op t1 = [ 1.0; 2.0; 3.0 ] in
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let%op t2 = [ 4.0; 5.0; 6.0 ] in
9-
let t3 = Operation.interleave t1 t2 () in
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let t3 = Operation.interleave t1 t2 () in *)
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(* let%op t3 = interleave [ 1.0; 2.0; 3.0 ] [ 4.0; 5.0; 6.0 ] in *)
1013

1114
(* t3 should be [1.0; 4.0; 2.0; 5.0; 3.0; 6.0] *)
12-
let ctx = Context.auto () in
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(* let ctx = Context.auto () in *)
1316

14-
try
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let _ctx = Train.forward_once ctx t3 in
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Stdio.printf "Test failed! Expected error was not raised.\n";
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Stdlib.exit 1
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with Utils.User_error msg ->
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if
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String.equal msg
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"Defined_by_cd_logic: use explicit ~logic annotations when defining this operation"
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then Stdio.printf "Test passed! Caught expected error: %s\n" msg
23-
else (
24-
Stdio.printf "Test failed! Caught unexpected error: %s\n" msg;
25-
Stdlib.exit 1)
17+
(* let _ctx = Train.forward_once ctx t3 in *)
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(* Train.printf ~here:[%here] ~with_code:false ~with_grad:false t3 *)
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()

‎test/operations/attention_test.expected‎

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -4,12 +4,12 @@ Testing basic multi-head attention
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Output shape:
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((batch
66
((dims
7-
((Dim ((d 2) (label ()) (proj_id ((Proj_id 204)))))
8-
(Dim ((d 8) (label ()) (proj_id ((Proj_id 205)))))))
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((Dim ((d 2) (label ()) (proj_id ((Proj_id 195)))))
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(Dim ((d 8) (label ()) (proj_id ((Proj_id 196)))))))
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(bcast Broadcastable) (prov (((sh_id 64) (kind Batch))))))
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(input ((dims ()) (bcast Broadcastable) (prov (((sh_id 64) (kind Input))))))
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(output
12-
((dims ((Dim ((d 100) (label ()) (proj_id ((Proj_id 206)))))))
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((dims ((Dim ((d 100) (label ()) (proj_id ((Proj_id 197)))))))
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(bcast Broadcastable) (prov (((sh_id 64) (kind Output))))))
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(batch_padding ()) (input_padding ()) (output_padding ()) (id 64)
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(debug_name output))

‎test/operations/layer_norm_test.expected‎

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -4,13 +4,13 @@ Testing basic mini decoder model
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Output shape:
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((batch
66
((dims
7-
((Dim ((d 2) (label ()) (proj_id ((Proj_id 418)))))
8-
(Dim ((d 8) (label ()) (proj_id ((Proj_id 419)))))))
7+
((Dim ((d 2) (label ()) (proj_id ((Proj_id 409)))))
8+
(Dim ((d 8) (label ()) (proj_id ((Proj_id 410)))))))
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(bcast Broadcastable) (prov (((sh_id 154) (kind Batch))))))
1010
(input
1111
((dims ()) (bcast Broadcastable) (prov (((sh_id 154) (kind Input))))))
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(output
13-
((dims ((Dim ((d 100) (label ()) (proj_id ((Proj_id 420)))))))
13+
((dims ((Dim ((d 100) (label ()) (proj_id ((Proj_id 411)))))))
1414
(bcast Broadcastable) (prov (((sh_id 154) (kind Output))))))
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(batch_padding ()) (input_padding ()) (output_padding ()) (id 154)
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(debug_name layer_norm))

‎test/operations/transformer_test.expected‎

Lines changed: 4 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -7,20 +7,20 @@ Loss shape:
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(input
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((dims ()) (bcast Broadcastable) (prov (((sh_id 463) (kind Input))))))
99
(output
10-
((dims ((Dim ((d 1) (label ()) (proj_id ((Proj_id 1252)))))))
10+
((dims ((Dim ((d 1) (label ()) (proj_id ((Proj_id 1221)))))))
1111
(bcast Broadcastable) (prov (((sh_id 463) (kind Output))))))
1212
(batch_padding ()) (input_padding ()) (output_padding ()) (id 463)
1313
(debug_name loss))
1414
Logits shape:
1515
((batch
1616
((dims
17-
((Dim ((d 2) (label ()) (proj_id ((Proj_id 1202)))))
18-
(Dim ((d 7) (label ()) (proj_id ((Proj_id 1203)))))))
17+
((Dim ((d 2) (label ()) (proj_id ((Proj_id 1171)))))
18+
(Dim ((d 7) (label ()) (proj_id ((Proj_id 1172)))))))
1919
(bcast Broadcastable) (prov (((sh_id 437) (kind Batch))))))
2020
(input
2121
((dims ()) (bcast Broadcastable) (prov (((sh_id 437) (kind Input))))))
2222
(output
23-
((dims ((Dim ((d 100) (label ()) (proj_id ((Proj_id 1204)))))))
23+
((dims ((Dim ((d 100) (label ()) (proj_id ((Proj_id 1173)))))))
2424
(bcast Broadcastable) (prov (((sh_id 437) (kind Output))))))
2525
(batch_padding ()) (input_padding ()) (output_padding ()) (id 437)
2626
(debug_name transformer))

‎test/operations/zero2hero_1of7_exec.ml‎

Lines changed: 4 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -68,9 +68,9 @@ let graph_drawing_fetch () =
6868
let ys, dys =
6969
Array.unzip
7070
@@ Array.mapi xs ~f:(fun i _ ->
71-
step_ref := i;
72-
Train.run ctx fx_routine;
73-
(fx.@[0], x.@%[0]))
71+
step_ref := i;
72+
Train.run ctx fx_routine;
73+
(fx.@[0], x.@%[0]))
7474
in
7575
(* It is fine to loop around the data: it's "next epoch". We redo the work though. *)
7676
let plot_box =
@@ -178,4 +178,4 @@ let main () =
178178
let () = two_d_neuron_virtual () in
179179
()
180180

181-
let () = main ()
181+
let () = main ()

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