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ricardoV94ricardoV94
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Specialize TensorType string representation
1 parent e6861d7 commit 2d62f4b

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6 files changed

+68
-62
lines changed

6 files changed

+68
-62
lines changed

‎pytensor/tensor/type.py

Lines changed: 10 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -386,21 +386,27 @@ def __str__(self):
386386
if self.name:
387387
return self.name
388388
else:
389+
shape = self.shape
390+
len_shape = len(shape)
389391

390392
def shape_str(s):
391393
if s is None:
392394
return "?"
393395
else:
394396
return str(s)
395397

396-
formatted_shape = ", ".join([shape_str(s) for s in self.shape])
397-
if len(self.shape) == 1:
398+
formatted_shape = ", ".join([shape_str(s) for s in shape])
399+
if len_shape == 1:
398400
formatted_shape += ","
399401

400-
return f"TensorType({self.dtype}, ({formatted_shape}))"
402+
if len_shape > 2:
403+
name = f"Tensor{len_shape}"
404+
else:
405+
name = ("Scalar", "Vector", "Matrix")[len_shape]
406+
return f"{name}({self.dtype}, shape=({formatted_shape}))"
401407

402408
def __repr__(self):
403-
return str(self)
409+
return f"TensorType({self.dtype}, shape={self.shape})"
404410

405411
@staticmethod
406412
def may_share_memory(a, b):

‎pytensor/tensor/var.py

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -1030,7 +1030,7 @@ def __str__(self):
10301030
else:
10311031
val = f"{self.data}"
10321032
if len(val) > 20:
1033-
val = val[:10] + ".." + val[-10:]
1033+
val = val[:10].strip() + " ... " + val[-10:].strip()
10341034

10351035
if self.name is not None:
10361036
name = self.name

‎tests/compile/test_builders.py

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -580,10 +580,10 @@ def test_debugprint():
580580
581581
OpFromGraph{inline=False} [id A]
582582
← Add [id E]
583-
├─ *0-<TensorType(float64, (?, ?))> [id F]
583+
├─ *0-<Matrix(float64, shape=(?, ?))> [id F]
584584
└─ Mul [id G]
585-
├─ *1-<TensorType(float64, (?, ?))> [id H]
586-
└─ *2-<TensorType(float64, (?, ?))> [id I]
585+
├─ *1-<Matrix(float64, shape=(?, ?))> [id H]
586+
└─ *2-<Matrix(float64, shape=(?, ?))> [id I]
587587
"""
588588

589589
for truth, out in zip(exp_res.split("\n"), lines):

‎tests/scan/test_printing.py

Lines changed: 48 additions & 48 deletions
Original file line numberDiff line numberDiff line change
@@ -61,8 +61,8 @@ def test_debugprint_sitsot():
6161
6262
Scan{scan_fn, while_loop=False, inplace=none} [id C]
6363
← Mul [id W] (inner_out_sit_sot-0)
64-
├─ *0-<TensorType(float64, (?,))> [id X] -> [id E] (inner_in_sit_sot-0)
65-
└─ *1-<TensorType(float64, (?,))> [id Y] -> [id M] (inner_in_non_seqs-0)"""
64+
├─ *0-<Vector(float64, shape=(?,))> [id X] -> [id E] (inner_in_sit_sot-0)
65+
└─ *1-<Vector(float64, shape=(?,))> [id Y] -> [id M] (inner_in_non_seqs-0)"""
6666

6767
for truth, out in zip(expected_output.split("\n"), lines):
6868
assert truth.strip() == out.strip()
@@ -119,8 +119,8 @@ def test_debugprint_sitsot_no_extra_info():
119119
120120
Scan{scan_fn, while_loop=False, inplace=none} [id C]
121121
← Mul [id W]
122-
├─ *0-<TensorType(float64, (?,))> [id X] -> [id E]
123-
└─ *1-<TensorType(float64, (?,))> [id Y] -> [id M]"""
122+
├─ *0-<Vector(float64, shape=(?,))> [id X] -> [id E]
123+
└─ *1-<Vector(float64, shape=(?,))> [id Y] -> [id M]"""
124124

125125
for truth, out in zip(expected_output.split("\n"), lines):
126126
assert truth.strip() == out.strip()
@@ -185,10 +185,10 @@ def test_debugprint_nitsot():
185185
186186
Scan{scan_fn, while_loop=False, inplace=none} [id B]
187187
← Mul [id X] (inner_out_nit_sot-0)
188-
├─ *0-<TensorType(float64, ())> [id Y] -> [id S] (inner_in_seqs-0)
188+
├─ *0-<Scalar(float64, shape=())> [id Y] -> [id S] (inner_in_seqs-0)
189189
└─ Pow [id Z]
190-
├─ *2-<TensorType(float64, ())> [id BA] -> [id W] (inner_in_non_seqs-0)
191-
└─ *1-<TensorType(int64, ())> [id BB] -> [id U] (inner_in_seqs-1)"""
190+
├─ *2-<Scalar(float64, shape=())> [id BA] -> [id W] (inner_in_non_seqs-0)
191+
└─ *1-<Scalar(int64, shape=())> [id BB] -> [id U] (inner_in_seqs-1)"""
192192

193193
for truth, out in zip(expected_output.split("\n"), lines):
194194
assert truth.strip() == out.strip()
@@ -265,22 +265,22 @@ def compute_A_k(A, k):
265265
Scan{scan_fn, while_loop=False, inplace=none} [id B]
266266
← Mul [id Y] (inner_out_nit_sot-0)
267267
├─ ExpandDims{axis=0} [id Z]
268-
│ └─ *0-<TensorType(float64, ())> [id BA] -> [id S] (inner_in_seqs-0)
268+
│ └─ *0-<Scalar(float64, shape=())> [id BA] -> [id S] (inner_in_seqs-0)
269269
└─ Pow [id BB]
270270
├─ Subtensor{i} [id BC]
271271
│ ├─ Subtensor{start:} [id BD]
272272
│ │ ├─ Scan{scan_fn, while_loop=False, inplace=none} [id BE] (outer_out_sit_sot-0)
273-
│ │ │ ├─ *3-<TensorType(int32, ())> [id BF] -> [id X] (inner_in_non_seqs-1) (n_steps)
273+
│ │ │ ├─ *3-<Scalar(int32, shape=())> [id BF] -> [id X] (inner_in_non_seqs-1) (n_steps)
274274
│ │ │ ├─ SetSubtensor{:stop} [id BG] (outer_in_sit_sot-0)
275275
│ │ │ │ ├─ AllocEmpty{dtype='float64'} [id BH]
276276
│ │ │ │ │ ├─ Add [id BI]
277-
│ │ │ │ │ │ ├─ *3-<TensorType(int32, ())> [id BF] -> [id X] (inner_in_non_seqs-1)
277+
│ │ │ │ │ │ ├─ *3-<Scalar(int32, shape=())> [id BF] -> [id X] (inner_in_non_seqs-1)
278278
│ │ │ │ │ │ └─ Subtensor{i} [id BJ]
279279
│ │ │ │ │ │ ├─ Shape [id BK]
280280
│ │ │ │ │ │ │ └─ Unbroadcast{0} [id BL]
281281
│ │ │ │ │ │ │ └─ ExpandDims{axis=0} [id BM]
282282
│ │ │ │ │ │ │ └─ Second [id BN]
283-
│ │ │ │ │ │ │ ├─ *2-<TensorType(float64, (?,))> [id BO] -> [id W] (inner_in_non_seqs-0)
283+
│ │ │ │ │ │ │ ├─ *2-<Vector(float64, shape=(?,))> [id BO] -> [id W] (inner_in_non_seqs-0)
284284
│ │ │ │ │ │ │ └─ ExpandDims{axis=0} [id BP]
285285
│ │ │ │ │ │ │ └─ TensorConstant{1.0} [id BQ]
286286
│ │ │ │ │ │ └─ ScalarConstant{0} [id BR]
@@ -294,16 +294,16 @@ def compute_A_k(A, k):
294294
│ │ │ │ └─ ScalarFromTensor [id BV]
295295
│ │ │ │ └─ Subtensor{i} [id BJ]
296296
│ │ │ │ └─ ···
297-
│ │ │ └─ *2-<TensorType(float64, (?,))> [id BO] -> [id W] (inner_in_non_seqs-0) (outer_in_non_seqs-0)
297+
│ │ │ └─ *2-<Vector(float64, shape=(?,))> [id BO] -> [id W] (inner_in_non_seqs-0) (outer_in_non_seqs-0)
298298
│ │ └─ ScalarConstant{1} [id BW]
299299
│ └─ ScalarConstant{-1} [id BX]
300300
└─ ExpandDims{axis=0} [id BY]
301-
└─ *1-<TensorType(int64, ())> [id BZ] -> [id U] (inner_in_seqs-1)
301+
└─ *1-<Scalar(int64, shape=())> [id BZ] -> [id U] (inner_in_seqs-1)
302302
303303
Scan{scan_fn, while_loop=False, inplace=none} [id BE]
304304
← Mul [id CA] (inner_out_sit_sot-0)
305-
├─ *0-<TensorType(float64, (?,))> [id CB] -> [id BG] (inner_in_sit_sot-0)
306-
└─ *1-<TensorType(float64, (?,))> [id CC] -> [id BO] (inner_in_non_seqs-0)"""
305+
├─ *0-<Vector(float64, shape=(?,))> [id CB] -> [id BG] (inner_in_sit_sot-0)
306+
└─ *1-<Vector(float64, shape=(?,))> [id CC] -> [id BO] (inner_in_non_seqs-0)"""
307307

308308
for truth, out in zip(expected_output.split("\n"), lines):
309309
assert truth.strip() == out.strip()
@@ -356,28 +356,28 @@ def compute_A_k(A, k):
356356
Inner graphs:
357357
358358
Scan{scan_fn, while_loop=False, inplace=none} [id E]
359-
→ *0-<TensorType(float64, ())> [id Y] -> [id U] (inner_in_seqs-0)
360-
→ *1-<TensorType(int64, ())> [id Z] -> [id W] (inner_in_seqs-1)
361-
→ *2-<TensorType(float64, (?,))> [id BA] -> [id C] (inner_in_non_seqs-0)
362-
→ *3-<TensorType(int32, ())> [id BB] -> [id B] (inner_in_non_seqs-1)
359+
→ *0-<Scalar(float64, shape=())> [id Y] -> [id U] (inner_in_seqs-0)
360+
→ *1-<Scalar(int64, shape=())> [id Z] -> [id W] (inner_in_seqs-1)
361+
→ *2-<Vector(float64, shape=(?,))> [id BA] -> [id C] (inner_in_non_seqs-0)
362+
→ *3-<Scalar(int32, shape=())> [id BB] -> [id B] (inner_in_non_seqs-1)
363363
← Mul [id BC] (inner_out_nit_sot-0)
364364
├─ ExpandDims{axis=0} [id BD]
365-
│ └─ *0-<TensorType(float64, ())> [id Y] (inner_in_seqs-0)
365+
│ └─ *0-<Scalar(float64, shape=())> [id Y] (inner_in_seqs-0)
366366
└─ Pow [id BE]
367367
├─ Subtensor{i} [id BF]
368368
│ ├─ Subtensor{start:} [id BG]
369369
│ │ ├─ Scan{scan_fn, while_loop=False, inplace=none} [id BH] (outer_out_sit_sot-0)
370-
│ │ │ ├─ *3-<TensorType(int32, ())> [id BB] (inner_in_non_seqs-1) (n_steps)
370+
│ │ │ ├─ *3-<Scalar(int32, shape=())> [id BB] (inner_in_non_seqs-1) (n_steps)
371371
│ │ │ ├─ SetSubtensor{:stop} [id BI] (outer_in_sit_sot-0)
372372
│ │ │ │ ├─ AllocEmpty{dtype='float64'} [id BJ]
373373
│ │ │ │ │ ├─ Add [id BK]
374-
│ │ │ │ │ │ ├─ *3-<TensorType(int32, ())> [id BB] (inner_in_non_seqs-1)
374+
│ │ │ │ │ │ ├─ *3-<Scalar(int32, shape=())> [id BB] (inner_in_non_seqs-1)
375375
│ │ │ │ │ │ └─ Subtensor{i} [id BL]
376376
│ │ │ │ │ │ ├─ Shape [id BM]
377377
│ │ │ │ │ │ │ └─ Unbroadcast{0} [id BN]
378378
│ │ │ │ │ │ │ └─ ExpandDims{axis=0} [id BO]
379379
│ │ │ │ │ │ │ └─ Second [id BP]
380-
│ │ │ │ │ │ │ ├─ *2-<TensorType(float64, (?,))> [id BA] (inner_in_non_seqs-0)
380+
│ │ │ │ │ │ │ ├─ *2-<Vector(float64, shape=(?,))> [id BA] (inner_in_non_seqs-0)
381381
│ │ │ │ │ │ │ └─ ExpandDims{axis=0} [id BQ]
382382
│ │ │ │ │ │ │ └─ TensorConstant{1.0} [id BR]
383383
│ │ │ │ │ │ └─ ScalarConstant{0} [id BS]
@@ -391,18 +391,18 @@ def compute_A_k(A, k):
391391
│ │ │ │ └─ ScalarFromTensor [id BW]
392392
│ │ │ │ └─ Subtensor{i} [id BL]
393393
│ │ │ │ └─ ···
394-
│ │ │ └─ *2-<TensorType(float64, (?,))> [id BA] (inner_in_non_seqs-0) (outer_in_non_seqs-0)
394+
│ │ │ └─ *2-<Vector(float64, shape=(?,))> [id BA] (inner_in_non_seqs-0) (outer_in_non_seqs-0)
395395
│ │ └─ ScalarConstant{1} [id BX]
396396
│ └─ ScalarConstant{-1} [id BY]
397397
└─ ExpandDims{axis=0} [id BZ]
398-
└─ *1-<TensorType(int64, ())> [id Z] (inner_in_seqs-1)
398+
└─ *1-<Scalar(int64, shape=())> [id Z] (inner_in_seqs-1)
399399
400400
Scan{scan_fn, while_loop=False, inplace=none} [id BH]
401-
→ *0-<TensorType(float64, (?,))> [id CA] -> [id BI] (inner_in_sit_sot-0)
402-
→ *1-<TensorType(float64, (?,))> [id CB] -> [id BA] (inner_in_non_seqs-0)
401+
→ *0-<Vector(float64, shape=(?,))> [id CA] -> [id BI] (inner_in_sit_sot-0)
402+
→ *1-<Vector(float64, shape=(?,))> [id CB] -> [id BA] (inner_in_non_seqs-0)
403403
← Mul [id CC] (inner_out_sit_sot-0)
404-
├─ *0-<TensorType(float64, (?,))> [id CA] (inner_in_sit_sot-0)
405-
└─ *1-<TensorType(float64, (?,))> [id CB] (inner_in_non_seqs-0)"""
404+
├─ *0-<Vector(float64, shape=(?,))> [id CA] (inner_in_sit_sot-0)
405+
└─ *1-<Vector(float64, shape=(?,))> [id CB] (inner_in_non_seqs-0)"""
406406

407407
for truth, out in zip(expected_output.split("\n"), lines):
408408
assert truth.strip() == out.strip()
@@ -440,7 +440,7 @@ def fn(a_m2, a_m1, b_m2, b_m1):
440440
│ │ │ │ └─ Subtensor{i} [id H]
441441
│ │ │ │ ├─ Shape [id I]
442442
│ │ │ │ │ └─ Subtensor{:stop} [id J]
443-
│ │ │ │ │ ├─ <TensorType(int64, (?,))> [id K]
443+
│ │ │ │ │ ├─ <Vector(int64, shape=(?,))> [id K]
444444
│ │ │ │ │ └─ ScalarConstant{2} [id L]
445445
│ │ │ │ └─ ScalarConstant{0} [id M]
446446
│ │ │ ├─ Subtensor{:stop} [id J]
@@ -455,7 +455,7 @@ def fn(a_m2, a_m1, b_m2, b_m1):
455455
│ │ │ └─ Subtensor{i} [id R]
456456
│ │ │ ├─ Shape [id S]
457457
│ │ │ │ └─ Subtensor{:stop} [id T]
458-
│ │ │ │ ├─ <TensorType(int64, (?,))> [id U]
458+
│ │ │ │ ├─ <Vector(int64, shape=(?,))> [id U]
459459
│ │ │ │ └─ ScalarConstant{2} [id V]
460460
│ │ │ └─ ScalarConstant{0} [id W]
461461
│ │ ├─ Subtensor{:stop} [id T]
@@ -473,11 +473,11 @@ def fn(a_m2, a_m1, b_m2, b_m1):
473473
474474
Scan{scan_fn, while_loop=False, inplace=none} [id C]
475475
← Add [id BB] (inner_out_mit_sot-0)
476-
├─ *1-<TensorType(int64, ())> [id BC] -> [id E] (inner_in_mit_sot-0-1)
477-
└─ *0-<TensorType(int64, ())> [id BD] -> [id E] (inner_in_mit_sot-0-0)
476+
├─ *1-<Scalar(int64, shape=())> [id BC] -> [id E] (inner_in_mit_sot-0-1)
477+
└─ *0-<Scalar(int64, shape=())> [id BD] -> [id E] (inner_in_mit_sot-0-0)
478478
← Add [id BE] (inner_out_mit_sot-1)
479-
├─ *3-<TensorType(int64, ())> [id BF] -> [id O] (inner_in_mit_sot-1-1)
480-
└─ *2-<TensorType(int64, ())> [id BG] -> [id O] (inner_in_mit_sot-1-0)"""
479+
├─ *3-<Scalar(int64, shape=())> [id BF] -> [id O] (inner_in_mit_sot-1-1)
480+
└─ *2-<Scalar(int64, shape=())> [id BG] -> [id O] (inner_in_mit_sot-1-0)"""
481481

482482
for truth, out in zip(expected_output.split("\n"), lines):
483483
assert truth.strip() == out.strip()
@@ -601,19 +601,19 @@ def test_debugprint_mitmot():
601601
Scan{grad_of_scan_fn, while_loop=False, inplace=none} [id B]
602602
← Add [id CM] (inner_out_mit_mot-0-0)
603603
├─ Mul [id CN]
604-
│ ├─ *2-<TensorType(float64, (?,))> [id CO] -> [id BL] (inner_in_mit_mot-0-0)
605-
│ └─ *5-<TensorType(float64, (?,))> [id CP] -> [id P] (inner_in_non_seqs-0)
606-
└─ *3-<TensorType(float64, (?,))> [id CQ] -> [id BL] (inner_in_mit_mot-0-1)
604+
│ ├─ *2-<Vector(float64, shape=(?,))> [id CO] -> [id BL] (inner_in_mit_mot-0-0)
605+
│ └─ *5-<Vector(float64, shape=(?,))> [id CP] -> [id P] (inner_in_non_seqs-0)
606+
└─ *3-<Vector(float64, shape=(?,))> [id CQ] -> [id BL] (inner_in_mit_mot-0-1)
607607
← Add [id CR] (inner_out_sit_sot-0)
608608
├─ Mul [id CS]
609-
│ ├─ *2-<TensorType(float64, (?,))> [id CO] -> [id BL] (inner_in_mit_mot-0-0)
610-
│ └─ *0-<TensorType(float64, (?,))> [id CT] -> [id Z] (inner_in_seqs-0)
611-
└─ *4-<TensorType(float64, (?,))> [id CU] -> [id CE] (inner_in_sit_sot-0)
609+
│ ├─ *2-<Vector(float64, shape=(?,))> [id CO] -> [id BL] (inner_in_mit_mot-0-0)
610+
│ └─ *0-<Vector(float64, shape=(?,))> [id CT] -> [id Z] (inner_in_seqs-0)
611+
└─ *4-<Vector(float64, shape=(?,))> [id CU] -> [id CE] (inner_in_sit_sot-0)
612612
613613
Scan{scan_fn, while_loop=False, inplace=none} [id F]
614614
← Mul [id CV] (inner_out_sit_sot-0)
615-
├─ *0-<TensorType(float64, (?,))> [id CT] -> [id H] (inner_in_sit_sot-0)
616-
└─ *1-<TensorType(float64, (?,))> [id CW] -> [id P] (inner_in_non_seqs-0)"""
615+
├─ *0-<Vector(float64, shape=(?,))> [id CT] -> [id H] (inner_in_sit_sot-0)
616+
└─ *1-<Vector(float64, shape=(?,))> [id CW] -> [id P] (inner_in_non_seqs-0)"""
617617

618618
for truth, out in zip(expected_output.split("\n"), lines):
619619
assert truth.strip() == out.strip()
@@ -643,25 +643,25 @@ def no_shared_fn(n, x_tm1, M):
643643

644644
expected_output = """Scan{scan_fn, while_loop=False, inplace=all} [id A] 2 (outer_out_sit_sot-0)
645645
├─ TensorConstant{20000} [id B] (n_steps)
646-
├─ TensorConstant{[ 0 ..998 19999]} [id C] (outer_in_seqs-0)
646+
├─ TensorConstant{[ 0 ... 998 19999]} [id C] (outer_in_seqs-0)
647647
├─ SetSubtensor{:stop} [id D] 1 (outer_in_sit_sot-0)
648648
│ ├─ AllocEmpty{dtype='int64'} [id E] 0
649649
│ │ └─ TensorConstant{20000} [id B]
650650
│ ├─ TensorConstant{(1,) of 0} [id F]
651651
│ └─ ScalarConstant{1} [id G]
652-
└─ <TensorType(float64, (20000, 2, 2))> [id H] (outer_in_non_seqs-0)
652+
└─ <Tensor3(float64, shape=(20000, 2, 2))> [id H] (outer_in_non_seqs-0)
653653
654654
Inner graphs:
655655
656656
Scan{scan_fn, while_loop=False, inplace=all} [id A]
657657
← Composite{switch(lt(i0, i1), i2, i0)} [id I] (inner_out_sit_sot-0)
658658
├─ TensorConstant{0} [id J]
659659
├─ Subtensor{i, j, k} [id K]
660-
│ ├─ *2-<TensorType(float64, (20000, 2, 2))> [id L] -> [id H] (inner_in_non_seqs-0)
660+
│ ├─ *2-<Tensor3(float64, shape=(20000, 2, 2))> [id L] -> [id H] (inner_in_non_seqs-0)
661661
│ ├─ ScalarFromTensor [id M]
662-
│ │ └─ *0-<TensorType(int64, ())> [id N] -> [id C] (inner_in_seqs-0)
662+
│ │ └─ *0-<Scalar(int64, shape=())> [id N] -> [id C] (inner_in_seqs-0)
663663
│ ├─ ScalarFromTensor [id O]
664-
│ │ └─ *1-<TensorType(int64, ())> [id P] -> [id D] (inner_in_sit_sot-0)
664+
│ │ └─ *1-<Scalar(int64, shape=())> [id P] -> [id D] (inner_in_sit_sot-0)
665665
│ └─ ScalarConstant{0} [id Q]
666666
└─ TensorConstant{1} [id R]
667667

‎tests/tensor/test_type.py

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -252,7 +252,7 @@ def test_fixed_shape_basic():
252252
assert t1.shape == (2, 3)
253253
assert t1.broadcastable == (False, False)
254254

255-
assert str(t1) == "TensorType(float64, (2, 3))"
255+
assert str(t1) == "Matrix(float64, shape=(2, 3))"
256256

257257
t1 = TensorType("float64", shape=(1,))
258258
assert t1.shape == (1,)

‎tests/test_printing.py

Lines changed: 5 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -282,7 +282,7 @@ def test_debugprint():
282282
│ │ └─ B
283283
│ ├─ TensorConstant{1.0}
284284
│ ├─ B
285-
│ ├─ <TensorType(float64, (?,))>
285+
│ ├─ <Vector(float64, shape=(?,))>
286286
│ └─ TensorConstant{0.0}
287287
├─ D
288288
└─ A
@@ -316,9 +316,9 @@ def test_debugprint_id_type():
316316

317317
exp_res = f"""Add [id {e_at.auto_name}]
318318
├─ dot [id {d_at.auto_name}]
319-
│ ├─ <TensorType(float64, (?, ?))> [id {b_at.auto_name}]
320-
│ └─ <TensorType(float64, (?,))> [id {a_at.auto_name}]
321-
└─ <TensorType(float64, (?,))> [id {a_at.auto_name}]
319+
│ ├─ <Matrix(float64, shape=(?, ?))> [id {b_at.auto_name}]
320+
│ └─ <Vector(float64, shape=(?,))> [id {a_at.auto_name}]
321+
└─ <Vector(float64, shape=(?,))> [id {a_at.auto_name}]
322322
"""
323323

324324
assert [l.strip() for l in s.split("\n")] == [
@@ -329,7 +329,7 @@ def test_debugprint_id_type():
329329
def test_pprint():
330330
x = dvector()
331331
y = x[1]
332-
assert pp(y) == "<TensorType(float64, (?,))>[1]"
332+
assert pp(y) == "<Vector(float64, shape=(?,))>[1]"
333333

334334

335335
def test_debugprint_inner_graph():

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