If setting cnmem=0.9 raises an exception, that means that at least 10% of your GPU memory, or 800MB, is already in use (maybe your X server, browser, game...). If you add the 6.313GB used by Theano, plus the 750 MB you are trying to allocate, we are already at 7.863GB. With work memory used by cuDNN and a bit of fragmentation, you may actually go over 8GB.
On Thu, Oct 20, 2016, Frédéric Bastien wrote: > Theano need memory for the intermediate computation. If your GPU have 8G > and you use 6G for weights, then you won't have enough space for > computation. > > Use a smaller model and/or lower batch size. > > If it is your dataset that take much space on the GPU, keep it on the CPU > and transfer just one mini-batch at a time to the GPU. > > On Wed, Oct 19, 2016 at 5:27 AM, GUKBEOM LEE <[email protected]> wrote: > > > 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, 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)), Composite{Switch(LT(i0, > > i1), i2, i0)}(Composite{Switch(i0, (i1 + i2 + i3), i1)}(i14, i15, 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))}(i12, i13, 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))}(i12, i13, 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))}(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, > > 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)), Composite{Switch(LT(i0, i1), i2, i0)}(Composite{Switch(i0, (i1 + i2 > > + i3), i1)}(i14, i15, 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))}(i12, i13, 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))}(i12, i13, i0, i3, i7, i8, i9, (i9 > > - i3)) + i3), i7))) + i3), i4)))}}.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{Switch(i0, i1, maximum(i2, (i3 - i4)))}}.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) > > - TensorConstant{-2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 > > Byte(s) > > - 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 > > Byte(s) > > - Constant{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(LT(i0, i1), (i0 + i2), (i0 - i2))}}.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) > > - 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, > > i1)), i5, maximum((i6 + i7), (i2 - i3))))}}.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) > > - TensorConstant{1500030}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 > > Byte(s) > > - Elemwise{minimum,no_inplace}.0, Shape: (), ElemSize: 8 Byte(s), > > TotalSize: 8.0 Byte(s) > > - Elemwise{Composite{(i0 - Switch(GE(Composite{Switch(LT(i0, i1), i2, > > i0)}(Composite{Switch(i0, (i1 + i2 + i3), i1)}(i1, i2, i3, i4), i5, i6), > > i7), i7, Composite{Switch(LT(i0, i1), i2, i0)}(Composite{Switch(i0, (i1 + > > i2 + i3), i1)}(i1, i2, i3, i4), i5, i6)))}}.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{Switch(LT(i0, (i0 - i1)), i0, (i0 - i1))}}.0, > > Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s) > > - Elemwise{Composite{Switch(LT(i0, i1), i0, i1)}}.0, Shape: (), > > ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s) > > - Elemwise{Composite{Switch(LT(i0, i1), (i0 + i2), (i0 - i2))}}.0, > > Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s) > > - Elemwise{Composite{maximum(maximum(((i0 - i1) + i2), i3), 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)}(i4, Composite{(((i0 - i1) // i1) + i1)}(i5, i2), i6, i2), i6, i4, i2), > > i6), 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)}(i4, Composite{(((i0 - i1) // i1) + i1)}(i5, i2), i6, i2), i6, i4, i2), > > i6), i7)) + i2), i3))}}.0, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 > > Byte(s) > > - Elemwise{Composite{Switch(i0, Switch(LT((i1 + i2), i3), i3, (i1 + i2)), > > Switch(LT(i1, i2), i1, i2))}}.0, Shape: (), ElemSize: 8 Byte(s), TotalSize: > > 8.0 Byte(s) > > - Elemwise{Composite{Switch(LT(i0, i1), (i0 + i2), (i0 - i2))}}.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{((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: (), 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), i7, 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) > > - Constant{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) > > - TensorConstant{100002}, 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{Switch(LT(Composite{Switch(LT(i0, i1), i1, > > i0)}(Composite{Switch(LT(i0, i1), i2, i0)}((i0 - i1), i2, i3), i2), i1), > > Composite{Switch(LT(i0, i1), i1, i0)}(Composite{Switch(LT(i0, i1), i2, > > i0)}((i0 - i1), i2, i3), i2), i1)}}.0, Shape: (), ElemSize: 8 Byte(s), > > TotalSize: 8.0 Byte(s) > > - Elemwise{minimum,no_inplace}.0, Shape: (), ElemSize: 8 Byte(s), > > TotalSize: 8.0 Byte(s) > > - Elemwise{Composite{Switch(LT(i0, i1), i1, i0)}}.0, Shape: (), > > ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s) > > - TensorConstant{2}, Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 > > Byte(s) > > - Elemwise{Composite{Switch(LT(Composite{Switch(i0, (i1 + i2 + i3), > > i1)}(i0, i1, i2, i3), i4), i5, Composite{Switch(i0, (i1 + i2 + i3), > > i1)}(i0, i1, i2, i3))}}.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{Composite{Switch(i0, Switch(LT((i1 + i2), i3), i3, (i1 + i2)), > > Switch(LT(i1, i2), i1, i2))}}.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, (i0 - i1)), i0, (i0 - i1))}}.0, > > Shape: (), ElemSize: 8 Byte(s), TotalSize: 8.0 Byte(s) > > - TensorConstant{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{add,no_inplace}.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), i7, 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) > > - Elemwise{Composite{maximum(maximum(((i0 - Switch(i1, (i2 + i3 + i4), > > i2)) + i4), i5), 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))}(i6, i7, i3, i4, i8, i9, (i3 + i4), ((i3 + i4) - i4)) + i4), > > 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))}(i6, i7, i3, i4, i8, i9, (i3 + > > i4), ((i3 + i4) - i4)), Composite{Switch(LT(i0, i1), i2, > > i0)}(Composite{Switch(i0, (i1 + i2 + i3), i1)}(i10, i11, i3, i4), i8, i9), > > (i3 + i4), i4), i8, i4), i8, (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))}(i6, i7, 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))}(i6, i7, i3, i4, i8, i9, (i3 + i4), ((i3 + i4) - i4)) + i4), i8)), > > 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))}(i6, i7, i3, i4, i8, i9, (i3 + > > i4), ((i3 + i4) - i4)) + i4), 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))}(i6, i7, i3, i4, i8, i9, (i3 > > + i4), ((i3 + i4) - i4)), Composite{Switch(LT(i0, i1), i2, > > i0)}(Composite{Switch(i0, (i1 + i2 + i3), i1)}(i10, i11, i3, i4), i8, i9), > > (i3 + i4), i4), i8, i4), i8, (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))}(i6, i7, 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))}(i6, i7, i3, i4, i8, i9, (i3 + i4), ((i3 + i4) - i4)) + i4), i8))) + > > i4), i5), 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, i3, i4, i8, i9, (i3 + i4), ((i3 + i4) - i4)) + i4), > > 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))}(i12, i13, i3, i4, i8, i9, (i3 + > > i4), ((i3 + i4) - i4)), Composite{Switch(LT(i0, i1), i2, > > i0)}(Composite{Switch(i0, (i1 + i2 + i3), i1)}(i14, i15, i3, i4), i8, i9), > > (i3 + i4), i4), i8, i4), i8, (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), 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)), > > 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, i3, i4, i8, i9, (i3 + > > i4), ((i3 + i4) - i4)) + i4), 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))}(i12, i13, i3, i4, i8, i9, > > (i3 + i4), ((i3 + i4) - i4)), Composite{Switch(LT(i0, i1), i2, > > i0)}(Composite{Switch(i0, (i1 + i2 + i3), i1)}(i14, i15, i3, i4), i8, i9), > > (i3 + i4), i4), i8, i4), i8, (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), 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'. > > > > > > -- > > > > --- > > You received this message because you are subscribed to the Google Groups > > "theano-users" group. > > To unsubscribe from this group and stop receiving emails from it, send an > > email to [email protected]. > > For more options, visit https://groups.google.com/d/optout. > > > > -- > > --- > You received this message because you are subscribed to the Google Groups > "theano-users" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > For more options, visit https://groups.google.com/d/optout. -- Pascal -- --- You received this message because you are subscribed to the Google Groups "theano-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
