hi. I have a problem.
When I run theano program, "CNMEM_STATUS_OUT_OF_MEMORY" error occured, but
I have enough GPU Memory (geforce 1070, 8GB). I used only 6.3GB.
It seems like cumem problem. So I change cumem value.
I settings cumem = 0.85, but error occured.
cumem = 0.9 raise error
cumem = 1.0 raise error
What should I do. Below is full error code
____________________________________________________________________________________
Traceback (most recent call last):
File "seq2seq2.py", line 552, in <module>
seq_to_1hot(seq_by_mini_batch_input, seq_by_mini_batch_target,
MINIBATCH_UNIT, ended_i)
File "seq2seq2.py", line 436, in seq_to_1hot
print("result of train function(loss or update) :", seq2seq.train(si,
st) )
File "seq2seq2.py", line 349, in train
return self._train(seq_input, seq_target)
File
"/usr/local/lib/python2.7/dist-packages/theano/compile/function_module.py",
line 871, in __call__
storage_map=getattr(self.fn, 'storage_map', None))
File "/usr/local/lib/python2.7/dist-packages/theano/gof/link.py", line
314, in raise_with_op
reraise(exc_type, exc_value, exc_trace)
File
"/usr/local/lib/python2.7/dist-packages/theano/compile/function_module.py",
line 859, in __call__
outputs = self.fn()
MemoryError: Error allocating 750015000 bytes of device memory
(CNMEM_STATUS_OUT_OF_MEMORY).
Apply node that caused the error:
GpuAlloc{memset_0=True}(CudaNdarrayConstant{[[[ 0.]]]},
Elemwise{Composite{((i0 * i1 * i2) // i3)}}.0, TensorConstant{15},
TensorConstant{100002})
Toposort index: 219
Inputs types: [CudaNdarrayType(float32, (True, True, True)),
TensorType(int64, scalar), TensorType(int64, scalar), TensorType(int64,
scalar)]
Inputs shapes: [(1, 1, 1), (), (), ()]
Inputs strides: [(0, 0, 0), (), (), ()]
Inputs values: [CudaNdarray([[[ 0.]]]), array(125), array(15),
array(100002)]
Outputs clients: [[GpuIncSubtensor{Inc;:int64:}(GpuAlloc{memset_0=True}.0,
GpuElemwise{Composite{((i0 * i1) / i2)}}[(0, 1)].0, ScalarFromTensor.0),
GpuIncSubtensor{InplaceInc;int64::}(GpuAlloc{memset_0=True}.0,
GpuIncSubtensor{Inc;:int64:}.0, Constant{0})]]
Debugprint of the apply node:
GpuAlloc{memset_0=True} [id A] <CudaNdarrayType(float32, 3D)> ''
|CudaNdarrayConstant{[[[ 0.]]]} [id B] <CudaNdarrayType(float32, (True,
True, True))>
|Elemwise{Composite{((i0 * i1 * i2) // i3)}} [id C] <TensorType(int64,
scalar)> ''
| |Elemwise{sub,no_inplace} [id D] <TensorType(int64, scalar)> ''
| | |Elemwise{add,no_inplace} [id E] <TensorType(int64, scalar)> ''
| | | |TensorConstant{1} [id F] <TensorType(int64, scalar)>
| | | |Shape_i{0} [id G] <TensorType(int64, scalar)> ''
| | | |<TensorType(float32, 3D)> [id H] <TensorType(float32, 3D)>
| | |Elemwise{Composite{Switch(LT(i0, i1), i0, i1)}} [id I]
<TensorType(int64, scalar)> ''
| | |TensorConstant{1} [id F] <TensorType(int64, scalar)>
| | |Elemwise{add,no_inplace} [id E] <TensorType(int64, scalar)> ''
| |Shape_i{0} [id J] <TensorType(int64, scalar)> ''
| | |y_t [id K] <CudaNdarrayType(float32, matrix)>
| |Shape_i{1} [id L] <TensorType(int64, scalar)> ''
| | |y_t [id K] <CudaNdarrayType(float32, matrix)>
| |TensorConstant{1500030} [id M] <TensorType(int64, scalar)>
|TensorConstant{15} [id N] <TensorType(int64, scalar)>
|TensorConstant{100002} [id O] <TensorType(int64, scalar)>
Storage map footprint:
- forall_inplace,gpu,scan_fn}.0, Shape: (126, 15, 100002), ElemSize: 4
Byte(s), TotalSize: 756015120 Byte(s)
- GpuAlloc{memset_0=True}.0, Shape: (126, 15, 100002), ElemSize: 4
Byte(s), TotalSize: 756015120 Byte(s)
- <TensorType(float32, 3D)>, Input, Shape: (125, 15, 100002), ElemSize: 4
Byte(s), TotalSize: 750015000 Byte(s)
- GpuReshape{3}.0, Shape: (125, 15, 100002), ElemSize: 4 Byte(s),
TotalSize: 750015000 Byte(s)
- GpuReshape{3}.0, Shape: (125, 15, 100002), ElemSize: 4 Byte(s),
TotalSize: 750015000 Byte(s)
- GpuElemwise{clip,no_inplace}.0, Shape: (125, 15, 100002), ElemSize: 4
Byte(s), TotalSize: 750015000 Byte(s)
- GpuElemwise{Composite{Cast{float32}(AND(GE(i0, i1), LE(i0,
i2)))},no_inplace}.0, Shape: (125, 15, 100002), ElemSize: 4 Byte(s),
TotalSize: 750015000 Byte(s)
- Uf, Shared Input, Shape: (100002, 131), ElemSize: 4 Byte(s), TotalSize:
52401048 Byte(s)
- Uo, Shared Input, Shape: (100002, 131), ElemSize: 4 Byte(s), TotalSize:
52401048 Byte(s)
- Ui, Shared Input, Shape: (100002, 131), ElemSize: 4 Byte(s), TotalSize:
52401048 Byte(s)
- Ug, Shared Input, Shape: (100002, 131), ElemSize: 4 Byte(s), TotalSize:
52401048 Byte(s)
- Uf, Shared Input, Shape: (100002, 131), ElemSize: 4 Byte(s), TotalSize:
52401048 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (100002, 131),
ElemSize: 4 Byte(s), TotalSize: 52401048 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (100002, 131),
ElemSize: 4 Byte(s), TotalSize: 52401048 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (100002, 131),
ElemSize: 4 Byte(s), TotalSize: 52401048 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (131, 100002),
ElemSize: 4 Byte(s), TotalSize: 52401048 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (100002, 131),
ElemSize: 4 Byte(s), TotalSize: 52401048 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (131, 100002),
ElemSize: 4 Byte(s), TotalSize: 52401048 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (100002, 131),
ElemSize: 4 Byte(s), TotalSize: 52401048 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (100002, 131),
ElemSize: 4 Byte(s), TotalSize: 52401048 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (100002, 131),
ElemSize: 4 Byte(s), TotalSize: 52401048 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (100002, 131),
ElemSize: 4 Byte(s), TotalSize: 52401048 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (100002, 131),
ElemSize: 4 Byte(s), TotalSize: 52401048 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (100002, 131),
ElemSize: 4 Byte(s), TotalSize: 52401048 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (100002, 131),
ElemSize: 4 Byte(s), TotalSize: 52401048 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (100002, 131),
ElemSize: 4 Byte(s), TotalSize: 52401048 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (100002, 131),
ElemSize: 4 Byte(s), TotalSize: 52401048 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (100002, 131),
ElemSize: 4 Byte(s), TotalSize: 52401048 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (100002, 131),
ElemSize: 4 Byte(s), TotalSize: 52401048 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (100002, 131),
ElemSize: 4 Byte(s), TotalSize: 52401048 Byte(s)
- Ug, Shared Input, Shape: (100002, 131), ElemSize: 4 Byte(s), TotalSize:
52401048 Byte(s)
- Wh, Shared Input, Shape: (131, 100002), ElemSize: 4 Byte(s), TotalSize:
52401048 Byte(s)
- Uo, Shared Input, Shape: (100002, 131), ElemSize: 4 Byte(s), TotalSize:
52401048 Byte(s)
- Ui, Shared Input, Shape: (100002, 131), ElemSize: 4 Byte(s), TotalSize:
52401048 Byte(s)
- GpuDimShuffle{0,x,1}.0, Shape: (125, 1, 100002), ElemSize: 4 Byte(s),
TotalSize: 50001000 Byte(s)
- <TensorType(float32, 3D)>, Input, Shape: (2, 15, 100002), ElemSize: 4
Byte(s), TotalSize: 12000240 Byte(s)
- GpuFromHost.0, Shape: (2, 15, 100002), ElemSize: 4 Byte(s), TotalSize:
12000240 Byte(s)
- y_t, Shared Input, Shape: (15, 100002), ElemSize: 4 Byte(s), TotalSize:
6000120 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (15, 100002),
ElemSize: 4 Byte(s), TotalSize: 6000120 Byte(s)
- bh, Shared Input, Shape: (15, 100002), ElemSize: 4 Byte(s), TotalSize:
6000120 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (15, 100002),
ElemSize: 4 Byte(s), TotalSize: 6000120 Byte(s)
- forall_inplace,gpu,scan_fn}.1, Shape: (126, 15, 131), ElemSize: 4
Byte(s), TotalSize: 990360 Byte(s)
- forall_inplace,gpu,scan_fn}.2, Shape: (126, 15, 131), ElemSize: 4
Byte(s), TotalSize: 990360 Byte(s)
- Wo, Shared Input, Shape: (131, 131), ElemSize: 4 Byte(s), TotalSize:
68644 Byte(s)
- Wi, Shared Input, Shape: (131, 131), ElemSize: 4 Byte(s), TotalSize:
68644 Byte(s)
- Wg, Shared Input, Shape: (131, 131), ElemSize: 4 Byte(s), TotalSize:
68644 Byte(s)
- Wf, Shared Input, Shape: (131, 131), ElemSize: 4 Byte(s), TotalSize:
68644 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (131, 131),
ElemSize: 4 Byte(s), TotalSize: 68644 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (131, 131),
ElemSize: 4 Byte(s), TotalSize: 68644 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (131, 131),
ElemSize: 4 Byte(s), TotalSize: 68644 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (131, 131),
ElemSize: 4 Byte(s), TotalSize: 68644 Byte(s)
- Wg, Shared Input, Shape: (131, 131), ElemSize: 4 Byte(s), TotalSize:
68644 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (131, 131),
ElemSize: 4 Byte(s), TotalSize: 68644 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (131, 131),
ElemSize: 4 Byte(s), TotalSize: 68644 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (131, 131),
ElemSize: 4 Byte(s), TotalSize: 68644 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (131, 131),
ElemSize: 4 Byte(s), TotalSize: 68644 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (131, 131),
ElemSize: 4 Byte(s), TotalSize: 68644 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (131, 131),
ElemSize: 4 Byte(s), TotalSize: 68644 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (131, 131),
ElemSize: 4 Byte(s), TotalSize: 68644 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (131, 131),
ElemSize: 4 Byte(s), TotalSize: 68644 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (131, 131),
ElemSize: 4 Byte(s), TotalSize: 68644 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (131, 131),
ElemSize: 4 Byte(s), TotalSize: 68644 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (131, 131),
ElemSize: 4 Byte(s), TotalSize: 68644 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (131, 131),
ElemSize: 4 Byte(s), TotalSize: 68644 Byte(s)
- Wo, Shared Input, Shape: (131, 131), ElemSize: 4 Byte(s), TotalSize:
68644 Byte(s)
- Wi, Shared Input, Shape: (131, 131), ElemSize: 4 Byte(s), TotalSize:
68644 Byte(s)
- Wf, Shared Input, Shape: (131, 131), ElemSize: 4 Byte(s), TotalSize:
68644 Byte(s)
- forall_inplace,gpu,scan_fn}.1, Shape: (3, 15, 131), ElemSize: 4 Byte(s),
TotalSize: 23580 Byte(s)
- forall_inplace,gpu,scan_fn}.0, Shape: (3, 15, 131), ElemSize: 4 Byte(s),
TotalSize: 23580 Byte(s)
- GpuAlloc{memset_0=True}.0, Shape: (3, 15, 131), ElemSize: 4 Byte(s),
TotalSize: 23580 Byte(s)
- GpuAlloc{memset_0=True}.0, Shape: (2, 15, 131), ElemSize: 4 Byte(s),
TotalSize: 15720 Byte(s)
- bo, Shared Input, Shape: (15, 131), ElemSize: 4 Byte(s), TotalSize: 7860
Byte(s)
- bi, Shared Input, Shape: (15, 131), ElemSize: 4 Byte(s), TotalSize: 7860
Byte(s)
- bg, Shared Input, Shape: (15, 131), ElemSize: 4 Byte(s), TotalSize: 7860
Byte(s)
- bf, Shared Input, Shape: (15, 131), ElemSize: 4 Byte(s), TotalSize: 7860
Byte(s)
- h_tm1, Shared Input, Shape: (15, 131), ElemSize: 4 Byte(s), TotalSize:
7860 Byte(s)
- c_tm1, Shared Input, Shape: (15, 131), ElemSize: 4 Byte(s), TotalSize:
7860 Byte(s)
- GpuSubtensor{int64}.0, Shape: (15, 131), ElemSize: 4 Byte(s), TotalSize:
7860 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (15, 131),
ElemSize: 4 Byte(s), TotalSize: 7860 Byte(s)
- GpuSubtensor{int64}.0, Shape: (15, 131), ElemSize: 4 Byte(s), TotalSize:
7860 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (15, 131),
ElemSize: 4 Byte(s), TotalSize: 7860 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (15, 131),
ElemSize: 4 Byte(s), TotalSize: 7860 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (15, 131),
ElemSize: 4 Byte(s), TotalSize: 7860 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (15, 131),
ElemSize: 4 Byte(s), TotalSize: 7860 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (15, 131),
ElemSize: 4 Byte(s), TotalSize: 7860 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (15, 131),
ElemSize: 4 Byte(s), TotalSize: 7860 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (15, 131),
ElemSize: 4 Byte(s), TotalSize: 7860 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (15, 131),
ElemSize: 4 Byte(s), TotalSize: 7860 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (15, 131),
ElemSize: 4 Byte(s), TotalSize: 7860 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (15, 131),
ElemSize: 4 Byte(s), TotalSize: 7860 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (15, 131),
ElemSize: 4 Byte(s), TotalSize: 7860 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (15, 131),
ElemSize: 4 Byte(s), TotalSize: 7860 Byte(s)
- c_tm1, Shared Input, Shape: (15, 131), ElemSize: 4 Byte(s), TotalSize:
7860 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (15, 131),
ElemSize: 4 Byte(s), TotalSize: 7860 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (15, 131),
ElemSize: 4 Byte(s), TotalSize: 7860 Byte(s)
- <CudaNdarrayType(float32, matrix)>, Shared Input, Shape: (15, 131),
ElemSize: 4 Byte(s), TotalSize: 7860 Byte(s)
- h_tm1, Shared Input, Shape: (15, 131), ElemSize: 4 Byte(s), TotalSize:
7860 Byte(s)
- bo, Shared Input, Shape: (15, 131), ElemSize: 4 Byte(s), TotalSize: 7860
Byte(s)
- bi, Shared Input, Shape: (15, 131), ElemSize: 4 Byte(s), TotalSize: 7860
Byte(s)
- bg, Shared Input, Shape: (15, 131), ElemSize: 4 Byte(s), TotalSize: 7860
Byte(s)
- bf, Shared Input, Shape: (15, 131), ElemSize: 4 Byte(s), TotalSize: 7860
Byte(s)
- TensorConstant{[ -1 ..15 100002]}, Shape: (3,), ElemSize: 8
Byte(s), TotalSize: 24 Byte(s)
- TensorConstant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
- Elemwise{add,no_inplace}.0, Shape: (), ElemSize: 8 Byte(s), TotalSize:
8.0 Byte(s)
- Elemwise{Composite{Switch(LT((i0 + i1), i2), i2, (i0 + i1))}}.0, Shape:
(), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
- Elemwise{add,no_inplace}.0, Shape: (), ElemSize: 8 Byte(s), TotalSize:
8.0 Byte(s)
- Shape_i{0}.0, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
- Shape_i{1}.0, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
- Elemwise{sub,no_inplace}.0, Shape: (), ElemSize: 8 Byte(s), TotalSize:
8.0 Byte(s)
- Elemwise{Composite{maximum(maximum(((i0 - Switch(i1, (i2 + i0 + i3),
i2)) + i3), i4), maximum(maximum(((i0 - Switch(LT(Composite{Switch(LT(i0,
i1), i1, i0)}(Composite{Switch(LT(i0, i1), (i2 - i3), i0)}(Composite{((i0 -
(Switch(LT(i1, i2), i2, i1) - i3)) -
i3)}((Composite{Switch(GE(Composite{Switch(LT(i0, i1), i2,
i0)}(Composite{Switch(i0, (i1 + i2 + i3), i1)}(i0, i1, i2, i3), i4, i5),
i6), i7, Composite{Switch(LT(i0, i1), i2, i0)}(Composite{Switch(i0, (i1 +
i2 + i3), i1)}(i0, i1, i2, i3), i4, i5))}(i5, i6, i0, i3, i7, i8, i9, (i9 -
i3)) + i3), Composite{((((i0 - Switch(GE(i1, i2), i2, i1)) - i3) // i3) +
i3)}(Composite{Switch(GE(Composite{Switch(LT(i0, i1), i2,
i0)}(Composite{Switch(i0, (i1 + i2 + i3), i1)}(i0, i1, i2, i3), i4, i5),
i6), i7, Composite{Switch(LT(i0, i1), i2, i0)}(Composite{Switch(i0, (i1 +
i2 + i3), i1)}(i0, i1, i2, i3), i4, i5))}(i5, i6, i0, i3, i7, i8, i9, (i9 -
i3)), Composite{Switch(LT(i0, i1), i2, i0)}(Composite{Switch(i0, (i1 + i2 +
i3), i1)}(i10, i11, i0, i3), i7, i8), i9, i3), i7, i3), i7,
(Composite{Switch(GE(Composite{Switch(LT(i0, i1), i2,
i0)}(Composite{Switch(i0, (i1 + i2 + i3), i1)}(i0, i1, i2, i3), i4, i5),
i6), i7, Composite{Switch(LT(i0, i1), i2, i0)}(Composite{Switch(i0, (i1 +
i2 + i3), i1)}(i0, i1, i2, i3), i4, i5))}(i5, i6, i0, i3, i7, i8, i9, (i9 -
i3)) + i3), i3), i7), Composite{Switch(LT(i0, i1), i1,
i0)}((Composite{Switch(GE(Composite{Switch(LT(i0, i1), i2,
i0)}(Composite{Switch(i0, (i1 + i2 + i3), i1)}(i0, i1, i2, i3), i4, i5),
i6), i7, Composite{Switch(LT(i0, i1), i2, i0)}(Composite{Switch(i0, (i1 +
i2 + i3), i1)}(i0, i1, i2, i3), i4, i5))}(i5, i6, i0, i3, i7, i8, i9, (i9 -
i3)) + i3), i7)), Composite{Switch(LT(i0, i1), i1,
i0)}(Composite{Switch(LT(i0, i1), (i2 - i3), i0)}(Composite{((i0 -
(Switch(LT(i1, i2), i2, i1) - i3)) -
i3)}((Composite{Switch(GE(Composite{Switch(LT(i0, i1), i2,
i0)}(Composite{Switch(i0, (i1 + i2 + i3), i1)}(i0, i1, i2, i3), i4, i5),
i6), i7, Composite{Switch(LT(i0, i1), i2, i0)}(Composite{Switch(i0, (i1 +
i2 + i3), i1)}(i0, i1, i2, i3), i4, i5))}(i5, i6, i0, i3, i7, i8, i9, (i9 -
i3)) + i3), Composite{((((i0 - Switch(GE(i1, i2), i2, i1)) - i3) // i3) +
i3)}(Composite{Switch(GE(Composite{Switch(LT(i0, i1), i2,
i0)}(Composite{Switch(i0, (i1 + i2 + i3), i1)}(i0, i1, i2, i3), i4, i5),
i6), i7, Composite{Switch(LT(i0, i1), i2, i0)}(Composite{Switch(i0, (i1 +
i2 + i3), i1)}(i0, i1, i2, i3), i4, i5))}(i5, i6, i0, i3, i7, i8, i9, (i9 -
i3)), Composite{Switch(LT(i0, i1), i2, i0)}(Composite{Switch(i0, (i1 + i2 +
i3), i1)}(i10, i11, i0, i3), i7, i8), i9, i3), i7, i3), i7,
(Composite{Switch(GE(Composite{Switch(LT(i0, i1), i2,
i0)}(Composite{Switch(i0, (i1 + i2 + i3), i1)}(i0, i1, i2, i3), i4, i5),
i6), i7, Composite{Switch(LT(i0, i1), i2, i0)}(Composite{Switch(i0, (i1 +
i2 + i3), i1)}(i0, i1, i2, i3), i4, i5))}(i5, i6, i0, i3, i7, i8, i9, (i9 -
i3)) + i3), i3), i7), Composite{Switch(LT(i0, i1), i1,
i0)}((Composite{Switch(GE(Composite{Switch(LT(i0, i1), i2,
i0)}(Composite{Switch(i0, (i1 + i2 + i3), i1)}(i0, i1, i2, i3), i4, i5),
i6), i7, Composite{Switch(LT(i0, i1), i2, i0)}(Composite{Switch(i0, (i1 +
i2 + i3), i1)}(i0, i1, i2, i3), i4, i5))}(i5, i6, i0, i3, i7, i8, i9, (i9 -
i3)) + i3), i7))) + i3), i4), maximum(((i0 -
Switch(LT(Composite{Switch(LT(i0, i1), i1, i0)}(Composite{Switch(LT(i0,
i1), (i2 - i3), i0)}(Composite{((i0 - (Switch(LT(i1, i2), i2, i1) - i3)) -
i3)}((Composite{Switch(GE(Composite{Switch(LT(i0, i1), i2,
i0)}(Composite{Switch(i0, (i1 + i2 + i3), i1)}(i0, i1, i2, i3), i4, i5),
i6), i7, Composite{Switch(LT(i0, i1), i2, i0)}(Composite{Switch(i0, (i1 +
i2 + i3), i1)}(i0, i1, i2, i3), i4, i5))}(i12, i13, i0, i3, i7, i8, i9, (i9
- i3)) + i3), Composite{((((i0 - Switch(GE(i1, i2), i2, i1)) - i3) // i3) +
i3)}(Composite{Switch(GE(Composite{Switch(LT(i0, i1), i2,
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- Elemwise{add,no_inplace}.0, Shape: (), ElemSize: 8 Byte(s), TotalSize:
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- TensorConstant{-2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0
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- Elemwise{maximum,no_inplace}.0, Shape: (), ElemSize: 8 Byte(s),
TotalSize: 8.0 Byte(s)
- TensorConstant{15}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0
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- Constant{1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
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- Elemwise{Composite{Switch(LT(i0, i1), (i0 + i2), (i0 - i2))}}.0, Shape:
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- Elemwise{sub,no_inplace}.0, Shape: (), ElemSize: 8 Byte(s), TotalSize:
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- Constant{-1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
- Shape_i{0}.0, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
- Elemwise{Composite{Switch(i0, i1, Switch(AND(LT((i2 - i3), i1), GT(i4,
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- Elemwise{add,no_inplace}.0, Shape: (), ElemSize: 8 Byte(s), TotalSize:
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- TensorConstant{1500030}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0
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- Elemwise{Composite{(i0 - Switch(GE(Composite{Switch(LT(i0, i1), i2,
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- Elemwise{Composite{Switch(LT(i0, (i0 - i1)), i0, (i0 - i1))}}.0, Shape:
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- Elemwise{Composite{Switch(LT(i0, i1), i0, i1)}}.0, Shape: (), ElemSize:
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- Elemwise{Composite{Switch(LT(i0, i1), (i0 + i2), (i0 - i2))}}.0, Shape:
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i1), (i2 - i3), i0)}(Composite{((i0 - (Switch(LT(i1, i2), i2, i1) - i3)) -
i3)}(i4, Composite{(((i0 - i1) // i1) + i1)}(i5, i2), i6, i2), i6, i4, i2),
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i1), (i2 - i3), i0)}(Composite{((i0 - (Switch(LT(i1, i2), i2, i1) - i3)) -
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8.0 Byte(s)
- Elemwise{Composite{((i0 * i1 * i2) // i3)}}.0, Shape: (), ElemSize: 8
Byte(s), TotalSize: 8.0 Byte(s)
- Elemwise{Composite{Switch(LT(i0, i1), (i0 + i2), (i0 - i2))}}.0, Shape:
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- Elemwise{Composite{Switch(GE(Composite{Switch(LT(i0, i1), i2,
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- Constant{0}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
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- TensorConstant{100002}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0
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i0)}(Composite{Switch(i0, (i1 + i2 + i3), i1)}(i0, i1, i2, i3), i4,
i5))}(i12, i13, i3, i4, i8, i9, (i3 + i4), ((i3 + i4) - i4)) + i4), i4),
i8), Composite{Switch(LT(i0, i1), i1,
i0)}((Composite{Switch(GE(Composite{Switch(LT(i0, i1), i2,
i0)}(Composite{Switch(i0, (i1 + i2 + i3), i1)}(i0, i1, i2, i3), i4, i5),
i6), i7, Composite{Switch(LT(i0, i1), i2, i0)}(Composite{Switch(i0, (i1 +
i2 + i3), i1)}(i0, i1, i2, i3), i4, i5))}(i12, i13, i3, i4, i8, i9, (i3 +
i4), ((i3 + i4) - i4)) + i4), i8))) + i4), i5)))}}.0, Shape: (), ElemSize:
8 Byte(s), TotalSize: 8.0 Byte(s)
- Elemwise{Composite{Switch(LT(i0, i1), (i2 + (-i3)), Switch(GE(i0, i4),
(i5 + i6), Switch(LE(i4, i1), (i5 + i6), i6)))}}.0, Shape: (), ElemSize: 8
Byte(s), TotalSize: 8.0 Byte(s)
- Elemwise{add,no_inplace}.0, Shape: (), ElemSize: 8 Byte(s), TotalSize:
8.0 Byte(s)
- Shape_i{1}.0, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
- Shape_i{1}.0, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
- Shape_i{1}.0, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
- Shape_i{0}.0, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
- Elemwise{Composite{((i0 * i1 * i2) // i3)}}.0, Shape: (), ElemSize: 8
Byte(s), TotalSize: 8.0 Byte(s)
- Elemwise{Composite{Switch(i0, i1, Switch(AND(LT((i2 - i3), i1), GT(i4,
i1)), i5, maximum(i6, (i2 - i3))))}}.0, Shape: (), ElemSize: 8 Byte(s),
TotalSize: 8.0 Byte(s)
- Elemwise{Composite{maximum(maximum(((i0 -
Switch(LT(Composite{Switch(LT(i0, i1), i1, i0)}(Composite{Switch(LT(i0,
i1), (i2 - i3), i0)}(Composite{((i0 - (Switch(LT(i1, i2), i2, i1) - i3)) -
i3)}((Composite{Switch(i0, (i1 - i2), i3)}(i1, i2, i3, i4) + i3),
Composite{((((i0 - i1) - i2) // i2) + i2)}(Composite{Switch(i0, (i1 - i2),
i3)}(i1, i2, i3, i4), i5, i3), i6, i3), i6, (Composite{Switch(i0, (i1 -
i2), i3)}(i1, i2, i3, i4) + i3), i3), i6), Composite{Switch(LT(i0, i1), i1,
i0)}((Composite{Switch(i0, (i1 - i2), i3)}(i1, i2, i3, i4) + i3), i6)),
Composite{Switch(LT(i0, i1), i1, i0)}(Composite{Switch(LT(i0, i1), (i2 -
i3), i0)}(Composite{((i0 - (Switch(LT(i1, i2), i2, i1) - i3)) -
i3)}((Composite{Switch(i0, (i1 - i2), i3)}(i1, i2, i3, i4) + i3),
Composite{((((i0 - i1) - i2) // i2) + i2)}(Composite{Switch(i0, (i1 - i2),
i3)}(i1, i2, i3, i4), i5, i3), i6, i3), i6, (Composite{Switch(i0, (i1 -
i2), i3)}(i1, i2, i3, i4) + i3), i3), i6), Composite{Switch(LT(i0, i1), i1,
i0)}((Composite{Switch(i0, (i1 - i2), i3)}(i1, i2, i3, i4) + i3), i6))) +
i3), i7), maximum((i8 + i3), i7))}}.0, Shape: (), ElemSize: 8 Byte(s),
TotalSize: 8.0 Byte(s)
- TensorConstant{-1}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0
Byte(s)
- Elemwise{add,no_inplace}.0, Shape: (), ElemSize: 8 Byte(s), TotalSize:
8.0 Byte(s)
- Elemwise{Composite{Switch(i0, i1, maximum(minimum((i2 + i3), i4),
i5))}}.0, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s)
- Elemwise{Composite{Switch(GE(Composite{Switch(LT(i0, i1), i2,
i0)}(Composite{Switch(i0, (i1 + i2 + i3), i1)}(i0, i1, i2, i3), i4, i5),
i6), i6, Composite{Switch(LT(i0, i1), i2, i0)}(Composite{Switch(i0, (i1 +
i2 + i3), i1)}(i0, i1, i2, i3), i4, i5))}}.0, Shape: (), ElemSize: 8
Byte(s), TotalSize: 8.0 Byte(s)
- mean, Shape: (), ElemSize: 4 Byte(s), TotalSize: 4.0 Byte(s)
- CudaNdarrayConstant{0.0}, Shape: (), ElemSize: 4 Byte(s), TotalSize: 4.0
Byte(s)
- CudaNdarrayConstant{[[ 0.94999999]]}, Shape: (1, 1), ElemSize: 4
Byte(s), TotalSize: 4 Byte(s)
- CudaNdarrayConstant{[[ 9.99999997e-07]]}, Shape: (1, 1), ElemSize: 4
Byte(s), TotalSize: 4 Byte(s)
- CudaNdarrayConstant{[[[ 0.99999899]]]}, Shape: (1, 1, 1), ElemSize: 4
Byte(s), TotalSize: 4 Byte(s)
- CudaNdarrayConstant{[[[ 9.99999997e-07]]]}, Shape: (1, 1, 1), ElemSize:
4 Byte(s), TotalSize: 4 Byte(s)
- CudaNdarrayConstant{[[ 0.05]]}, Shape: (1, 1), ElemSize: 4 Byte(s),
TotalSize: 4 Byte(s)
- CudaNdarrayConstant{[[[ 1.]]]}, Shape: (1, 1, 1), ElemSize: 4 Byte(s),
TotalSize: 4 Byte(s)
- GpuSubtensor{int64}.0, Shape: (), ElemSize: 4 Byte(s), TotalSize: 4.0
Byte(s)
- CudaNdarrayConstant{[[[ 0.]]]}, Shape: (1, 1, 1), ElemSize: 4 Byte(s),
TotalSize: 4 Byte(s)
- GpuSubtensor{int64}.0, Shape: (), ElemSize: 4 Byte(s), TotalSize: 4.0
Byte(s)
- CudaNdarrayConstant{[[[-1.]]]}, Shape: (1, 1, 1), ElemSize: 4 Byte(s),
TotalSize: 4 Byte(s)
- Elemwise{lt,no_inplace}.0, Shape: (), ElemSize: 1 Byte(s), TotalSize:
1.0 Byte(s)
- Elemwise{lt,no_inplace}.0, Shape: (), ElemSize: 1 Byte(s), TotalSize:
1.0 Byte(s)
- TensorConstant{1}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
- Elemwise{lt,no_inplace}.0, Shape: (), ElemSize: 1 Byte(s), TotalSize:
1.0 Byte(s)
- TensorConstant{1}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
- Elemwise{ge,no_inplace}.0, Shape: (), ElemSize: 1 Byte(s), TotalSize:
1.0 Byte(s)
- Elemwise{lt,no_inplace}.0, Shape: (), ElemSize: 1 Byte(s), TotalSize:
1.0 Byte(s)
- Constant{1}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
- TensorConstant{1}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
- TensorConstant{1}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
- TensorConstant{1}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
- Elemwise{Composite{AND(LT(i0, i1), GT(i2, i1))}}.0, Shape: (), ElemSize:
1 Byte(s), TotalSize: 1.0 Byte(s)
- Elemwise{le,no_inplace}.0, Shape: (), ElemSize: 1 Byte(s), TotalSize:
1.0 Byte(s)
- TensorConstant{1}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
- TensorConstant{0}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
- Elemwise{lt,no_inplace}.0, Shape: (), ElemSize: 1 Byte(s), TotalSize:
1.0 Byte(s)
- Elemwise{lt,no_inplace}.0, Shape: (), ElemSize: 1 Byte(s), TotalSize:
1.0 Byte(s)
- TensorConstant{2}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
- TensorConstant{1}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0 Byte(s)
- TensorConstant{-1}, Shape: (), ElemSize: 1 Byte(s), TotalSize: 1.0
Byte(s)
TotalSize: 6778870848.0 Byte(s) 6.313 GB
TotalSize inputs: 2202711711.0 Byte(s) 2.051 GB
HINT: Re-running with most Theano optimization disabled could give you a
back-trace of when this node was created. This can be done with by setting
the Theano flag 'optimizer=fast_compile'. If that does not work, Theano
optimizations can be disabled with 'optimizer=None'.
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