Great, that worked, and the error about float64 is gone. Thank you. By the way, is CuDNN v6 supported in this dev build?
On Thu, Apr 27, 2017 at 2:46 PM, Frédéric Bastien < frederic.bast...@gmail.com> wrote: > pip install --no-deps -U git+https://github.com/Theano/ > Theano.git#egg=Theano > > I added "-U" > > On Thu, Apr 27, 2017 at 5:45 PM Michael Klachko <michaelklac...@gmail.com> > wrote: > >> It does not want to update: >> >> C:\Users\Michael\>pip install --no-deps git+https://github.com/Theano/ >> Theano.git#egg=Theano >> Requirement already satisfied: Theano from git+https://github.com/Theano/ >> Theano.git#egg=Theano in c:\programdata\miniconda2\lib\site-packages >> >> On Tue, Apr 11, 2017 at 2:12 PM, Frédéric Bastien < >> frederic.bast...@gmail.com> wrote: >> >>> http://deeplearning.net/software/theano/install_ >>> ubuntu.html#bleeding-edge-installation-recommended >>> >>> >>> pip install --user --no-deps >>> git+https://github.com/Theano/Theano.git#egg=Theano >>> >>> >>> >>> On Tue, Apr 11, 2017 at 12:22 PM Michael Klachko < >>> michaelklac...@gmail.com> wrote: >>> >>>> Thanks! Currently I use the release version of Theano 0.9, installed >>>> with conda. What's the best way to switch to dev version? Should I just >>>> overwrite the >>>> C:\ProgramData\Miniconda2\pkgs\theano-0.9.0-py27_0\Lib\site-packages\theano >>>> folder? >>>> >>>> On Tue, Apr 11, 2017 at 8:02 AM, Frédéric Bastien < >>>> frederic.bast...@gmail.com> wrote: >>>> >>>> Just an updated, we fixed many such useless warning. Update Theano to >>>> the dev version. If you still see them, tell us. >>>> >>>> Fred >>>> >>>> On Sat, Mar 25, 2017 at 4:22 AM Michael Klachko < >>>> michaelklac...@gmail.com> wrote: >>>> >>>> Oh, looks like my message got truncated. Here's the complete graph: >>>> >>>> >>>> C:\ProgramData\Miniconda2\lib\site-packages\theano\gof\type.py:405: >>>> UserWarning: You are creating a TensorVariable with float64 dtype. You >>>> requested an action via the Theano flag >>>> warn_float64={ignore,warn,raise,pdb}. >>>> >>>> >>>> return utils.add_tag_trace(self.make_variable(name)) >>>> >>>> C:\ProgramData\Miniconda2\lib\site-packages\theano\gof\graph.py:447: >>>> UserWarning: You are creating a TensorVariable with float64 dtype. You >>>> requested an action via the Theano flag warn_float64={ignore,warn, >>>> raise,pdb}. >>>> >>>> cp = self.__class__(self.type, None, None, self.name) >>>> >>>> HostFromGpu(gpuarray) [id A] <TensorType(float32, scalar)> 'mean' 84 >>>> >>>> |GpuElemwise{Composite{(i0 / Cast{float32}((Composite{Switch(LT(i0, >>>> i1), i2, i0)}(Composite{Switch(GE(i0, i1), i2, i0)}(Composite{Switch(LT(i0, >>>> i1), i2, i0)}(Composite{Switch(LT(i0, i1), (i2 + i3), i4)}(i1, i2, i3, i4, >>>> i5), i6, i7), i8, i9), i10, i11) - Switch(LT(Composite{Switch(LT(i0, >>>> i1), i2, i0)}(Composite{Switch(GE(i0, i1), i2, i0)}(Composite{Switch(LT(i0, >>>> i1), i2, i0)}(Composite{Switch(LT(i0, i1), (i2 + i3), i4)}(i12, i13, i14, >>>> i15, i16), i17, i18), i19, i20), i21, i22), Composite{Switch(LT(i0, i1), >>>> i2, i0)}(Composite{Switch(GE(i0, i1), i2, i0)}(Composite{Switch(LT(i0, i1), >>>> i2, i0)}(Composite{Switch(LT(i0, i1), (i2 + i3), i4)}(i1, i2, i3, i4, i5), >>>> i6, i7), i8, i9), i10, i11)), Composite{Switch(LT(i0, i1), i2, >>>> i0)}(Composite{Switch(GE(i0, i1), i2, i0)}(Composite{Switch(LT(i0, i1), i2, >>>> i0)}(Composite{Switch(LT(i0, i1), (i2 + i3), i4)}(i12, i13, i14, i15, i16), >>>> i17, i18), i19, i20), i21, i22), Composite{Switch(LT(i0, i1), i2, >>>> i0)}(Composite{Switch(GE(i0, i1), i2, i0)}(Composite{Switch(LT(i0, i1), i2, >>>> i0)}(Composite{Switch(LT(i0, i1), (i2 + i3), i4)}(i1, i2, i3, i4, i5), i6, >>>> i7), i8, i9), i10, i11)))))}}[(0, 0)]<gpuarray> [id B] >>>> <GpuArrayType<None>(float32, ())> '' 83 >>>> >>>> |GpuCAReduceCuda{add} [id C] <GpuArrayType<None>(float32, ())> '' 82 >>>> >>>> | |GpuElemwise{Composite{EQ(Cast{int32}(i0), i1)}}[]<gpuarray> [id D] >>>> <GpuArrayType<None>(bool, (False,))> '' 81 >>>> >>>> | |GpuSubtensor{int64:int64:} [id E] <GpuArrayType<None>(float32, >>>> (False,))> '' 27 >>>> >>>> | | |<GpuArrayType<None>(float32, (False,))> [id F] >>>> <GpuArrayType<None>(float32, (False,))> >>>> >>>> | | |ScalarFromTensor [id G] <int64> '' 13 >>>> >>>> | | | |Elemwise{mul,no_inplace} [id H] <TensorType(int64, scalar)> '' 1 >>>> >>>> | | | |TensorConstant{128} [id I] <TensorType(int64, scalar)> >>>> >>>> | | | |<TensorType(int64, scalar)> [id J] <TensorType(int64, scalar)> >>>> >>>> | | |ScalarFromTensor [id K] <int64> '' 15 >>>> >>>> | | |Elemwise{Composite{(i0 * (i1 + i2))}} [id L] <TensorType(int64, >>>> scalar)> '' 2 >>>> >>>> | | |TensorConstant{128} [id I] <TensorType(int64, scalar)> >>>> >>>> | | |TensorConstant{1} [id M] <TensorType(int64, scalar)> >>>> >>>> | | |<TensorType(int64, scalar)> [id J] <TensorType(int64, scalar)> >>>> >>>> | |GpuFromHost<None> [id N] <GpuArrayType<None>(int64, (False,))> '' 80 >>>> >>>> | |Argmax [id O] <TensorType(int64, vector)> 'argmax' 79 >>>> >>>> | |HostFromGpu(gpuarray) [id P] <TensorType(float32, matrix)> '' 78 >>>> >>>> | | |GpuElemwise{Add}[(0, 0)]<gpuarray> [id Q] >>>> <GpuArrayType<None>(float32, (False, False))> '' 77 >>>> >>>> | | |GpuGemm{inplace=True} [id R] <GpuArrayType<None>(float32, (False, >>>> False))> '' 76 >>>> >>>> | | | |GpuAllocEmpty{dtype='float32', context_name=None} [id S] >>>> <GpuArrayType<None>(float32, (False, False))> '' 75 >>>> >>>> | | | | |Subtensor{int64} [id T] <TensorType(int64, scalar)> '' 74 >>>> >>>> | | | | | |Shape [id U] <TensorType(int64, vector)> '' 73 >>>> >>>> | | | | | | |GpuReshape{2} [id V] <GpuArrayType<None>(float32, (False, >>>> False))> '' 72 >>>> >>>> | | | | | | |GpuElemwise{Composite{(i0 * ((i1 * (i2 + i3)) + (i4 * >>>> Abs((i2 + i3)))))}}[(0, 2)]<gpuarray> [id W] <GpuArrayType<None>(float32, >>>> (False, False))> '' 71 >>>> >>>> | | | | | | | |GpuArrayConstant{[[ 0.5]]} [id X] >>>> <GpuArrayType<None>(float32, (True, True))> >>>> >>>> | | | | | | | |GpuArrayConstant{[[ 0.1]]} [id Y] >>>> <GpuArrayType<None>(float32, (True, True))> >>>> >>>> | | | | | | | |GpuGemm{inplace=True} [id Z] >>>> <GpuArrayType<None>(float32, (False, False))> '' 70 >>>> >>>> | | | | | | | | |GpuAllocEmpty{dtype='float32', context_name=None} [id >>>> BA] <GpuArrayType<None>(float32, (False, False))> '' 69 >>>> >>>> | | | | | | | | | |Subtensor{int64} [id BB] <TensorType(int64, scalar)> >>>> '' 68 >>>> >>>> | | | | | | | | | | |Shape [id BC] <TensorType(int64, vector)> '' 67 >>>> >>>> | | | | | | | | | | | |GpuReshape{2} [id BD] >>>> <GpuArrayType<None>(float32, (False, False))> '' 66 >>>> >>>> | | | | | | | | | | | |GpuElemwise{Composite{(i0 * ((i1 * (i2 + i3)) + >>>> (i4 * Abs((i2 + i3)))))}}[(0, 2)]<gpuarray> [id BE] >>>> <GpuArrayType<None>(float32, (False, False, False, False))> '' 65 >>>> >>>> | | | | | | | | | | | | |GpuArrayConstant{[[[[ 0.5]]]]} [id BF] >>>> <GpuArrayType<None>(float32, (True, True, True, True))> >>>> >>>> | | | | | | | | | | | | |GpuArrayConstant{[[[[ 0.095]]]]} [id BG] >>>> <GpuArrayType<None>(float32, (True, True, True, True))> >>>> >>>> | | | | | | | | | | | | |GpuDnnConv{algo='time_on_shape_change', >>>> inplace=True} [id BH] <GpuArrayType<None>(float32, (False, False, False, >>>> False))> '' 64 >>>> >>>> | | | | | | | | | | | | | |GpuContiguous [id BI] >>>> <GpuArrayType<None>(float32, (False, False, False, False))> '' 51 >>>> >>>> | | | | | | | | | | | | | | |GpuReshape{4} [id BJ] >>>> <GpuArrayType<None>(float32, (False, False, False, False))> '' 50 >>>> >>>> | | | | | | | | | | | | | | |GpuElemwise{Composite{(i0 * ((i1 * (i2 + >>>> i3)) + (i4 * Abs((i2 + i3)))))}}[(0, 2)]<gpuarray> [id BK] >>>> <GpuArrayType<None>(float32, (False, False, False, False))> '' 49 >>>> >>>> | | | | | | | | | | | | | | | |GpuArrayConstant{[[[[ 0.5]]]]} [id BF] >>>> <GpuArrayType<None>(float32, (True, True, True, True))> >>>> >>>> | | | | | | | | | | | | | | | |GpuArrayConstant{[[[[ 0.1]]]]} [id BL] >>>> <GpuArrayType<None>(float32, (True, True, True, True))> >>>> >>>> | | | | | | | | | | | | | | | |GpuDnnConv{algo='time_on_shape_change', >>>> inplace=True} [id BM] <GpuArrayType<None>(float32, (False, False, False, >>>> False))> '' 48 >>>> >>>> | | | | | | | | | | | | | | | | |GpuContiguous [id BN] >>>> <GpuArrayType<None>(float32, (False, False, False, False))> '' 35 >>>> >>>> | | | | | | | | | | | | | | | | | |GpuReshape{4} [id BO] >>>> <GpuArrayType<None>(float32, (False, False, False, False))> '' 32 >>>> >>>> | | | | | | | | | | | | | | | | | |GpuSubtensor{int64:int64:} [id BP] >>>> <GpuArrayType<None>(float32, (False, False))> '' 26 >>>> >>>> | | | | | | | | | | | | | | | | | | |<GpuArrayType<None>(float32, >>>> (False, False))> [id BQ] <GpuArrayType<None>(float32, (False, False))> >>>> >>>> | | | | | | | | | | | | | | | | | | |ScalarFromTensor [id G] <int64> '' >>>> 13 >>>> >>>> | | | | | | | | | | | | | | | | | | |ScalarFromTensor [id K] <int64> '' >>>> 15 >>>> >>>> | | | | | | | | | | | | | | | | | |TensorConstant{[128 3 32 32]} [id >>>> BR] <TensorType(int32, vector)> >>>> >>>> | | | | | | | | | | | | | | | | |GpuContiguous [id BS] >>>> <GpuArrayType<None>(float32, (False, False, False, False))> '' 10 >>>> >>>> | | | | | | | | | | | | | | | | | |<GpuArrayType<None>(float32, (False, >>>> False, False, False))> [id BT] <GpuArrayType<None>(float32, (False, False, >>>> False, False))> >>>> >>>> | | | | | | | | | | | | | | | | |GpuAllocEmpty{dtype='float32', >>>> context_name=None} [id BU] <GpuArrayType<None>(float32, (False, False, >>>> False, False))> '' 47 >>>> >>>> | | | | | | | | | | | | | | | | | |Assert{msg='The convolution would >>>> produce an invalid shape (dim[0] < 0).'} [id BV] <TensorType(int64, >>>> scalar)> '' 44 >>>> >>>> | | | | | | | | | | | | | | | | | | |Shape_i{0} [id BW] >>>> <TensorType(int64, scalar)> '' 38 >>>> >>>> | | | | | | | | | | | | | | | | | | | |GpuContiguous [id BN] >>>> <GpuArrayType<None>(float32, (False, False, False, False))> '' 35 >>>> >>>> | | | | | | | | | | | | | | | | | | |Elemwise{ge,no_inplace} [id BX] >>>> <TensorType(bool, scalar)> '' 41 >>>> >>>> | | | | | | | | | | | | | | | | | | |Shape_i{0} [id BW] >>>> <TensorType(int64, scalar)> '' 38 >>>> >>>> | | | | | | | | | | | | | | | | | | |TensorConstant{0} [id BY] >>>> <TensorType(int8, scalar)> >>>> >>>> | | | | | | | | | | | | | | | | | |Assert{msg='The convolution would >>>> produce an invalid shape (dim[1] < 0).'} [id BZ] <TensorType(int64, >>>> scalar)> '' 34 >>>> >>>> | | | | | | | | | | | | | | | | | | |Shape_i{0} [id CA] >>>> <TensorType(int64, scalar)> '' 25 >>>> >>>> | | | | | | | | | | | | | | | | | | | |GpuContiguous [id BS] >>>> <GpuArrayType<None>(float32, (False, False, False, False))> '' 10 >>>> >>>> | | | | | | | | | | | | | | | | | | |Elemwise{ge,no_inplace} [id CB] >>>> <TensorType(bool, scalar)> '' 31 >>>> >>>> | | | | | | | | | | | | | | | | | | |Shape_i{0} [id CA] >>>> <TensorType(int64, scalar)> '' 25 >>>> >>>> | | | | | | | | | | | | | | | | | | |TensorConstant{0} [id CC] >>>> <TensorType(int8, scalar)> >>>> >>>> | | | | | | | | | | | | | | | | | |Assert{msg='The convolution would >>>> produce an invalid shape (dim[2] <= 0).'} [id CD] <TensorType(int64, >>>> scalar)> '' 46 >>>> >>>> | | | | | | | | | | | | | | | | | | |Elemwise{Composite{(((i0 - (((i1 - >>>> i2) * i3) + i4)) // i5) + i6)}}[(0, 0)] [id CE] <TensorType(int64, scalar)> >>>> '' 40 >>>> >>>> | | | | | | | | | | | | | | | | | | | |Shape_i{2} [id CF] >>>> <TensorType(int64, scalar)> '' 37 >>>> >>>> | | | | | | | | | | | | | | | | | | | | |GpuContiguous [id BN] >>>> <GpuArrayType<None>(float32, (False, False, False, False))> '' 35 >>>> >>>> | | | | | | | | | | | | | | | | | | | |Shape_i{2} [id CG] >>>> <TensorType(int64, scalar)> '' 24 >>>> >>>> | | | | | | | | | | | | | | | | | | | | |GpuContiguous [id BS] >>>> <GpuArrayType<None>(float32, (False, False, False, False))> '' 10 >>>> >>>> | | | | | | | | | | | | | | | | | | | |TensorConstant{1} [id CH] >>>> <TensorType(int8, scalar)> >>>> >>>> | | | | | | | | | | | | | | | | | | | |TensorConstant{1} [id CI] >>>> <TensorType(int32, scalar)> >>>> >>>> | | | | | | | | | | | | | | | | | | | |TensorConstant{1} [id CH] >>>> <TensorType(int8, scalar)> >>>> >>>> | | | | | | | | | | | | | | | | | | | |TensorConstant{2} [id CJ] >>>> <TensorType(int8, scalar)> >>>> >>>> | | | | | | | | | | | | | | | | | | | |TensorConstant{1} [id CH] >>>> <TensorType(int8, scalar)> >>>> >>>> | | | | | | | | | | | | | | | | | | |Elemwise{gt,no_inplace} [id CK] >>>> <TensorType(bool, scalar)> '' 43 >>>> >>>> | | | | | | | | | | | | | | | | | | |Elemwise{Composite{(((i0 - (((i1 - >>>> i2) * i3) + i4)) // i5) + i6)}}[(0, 0)] [id CE] <TensorType(int64, scalar)> >>>> '' 40 >>>> >>>> | | | | | | | | | | | | | | | | | | |TensorConstant{0} [id CL] >>>> <TensorType(int8, scalar)> >>>> >>>> | | | | | | | | | | | | | | | | | |Assert{msg='The convolution would >>>> produce an invalid shape (dim[3] <= 0).'} [id CM] <TensorType(int64, >>>> scalar)> '' 45 >>>> >>>> | | | | | | | | | | | | | | | | | |Elemwise{Composite{(((i0 - (((i1 - >>>> i2) * i3) + i4)) // i5) + i6)}}[(0, 0)] [id CN] <TensorType(int64, scalar)> >>>> '' 39 >>>> >>>> | | | | | | | | | | | | | | | | | | |Shape_i{3} [id CO] >>>> <TensorType(int64, scalar)> '' 36 >>>> >>>> | | | | | | | | | | | | | | | | | | | |GpuContiguous [id BN] >>>> <GpuArrayType<None>(float32, (False, False, False, False))> '' 35 >>>> >>>> | | | | | | | | | | | | | | | | | | |Shape_i{3} [id CP] >>>> <TensorType(int64, scalar)> '' 23 >>>> >>>> | | | | | | | | | | | | | | | | | | | |GpuContiguous [id BS] >>>> <GpuArrayType<None>(float32, (False, False, False, False))> '' 10 >>>> >>>> | | | | | | | | | | | | | | | | | | |TensorConstant{1} [id CH] >>>> <TensorType(int8, scalar)> >>>> >>>> | | | | | | | | | | | | | | | | | | |TensorConstant{1} [id CI] >>>> <TensorType(int32, scalar)> >>>> >>>> | | | | | | | | | | | | | | | | | | |TensorConstant{1} [id CH] >>>> <TensorType(int8, scalar)> >>>> >>>> | | | | | | | | | | | | | | | | | | |TensorConstant{2} [id CJ] >>>> <TensorType(int8, scalar)> >>>> >>>> | | | | | | | | | | | | | | | | | | |TensorConstant{1} [id CH] >>>> <TensorType(int8, scalar)> >>>> >>>> | | | | | | | | | | | | | | | | | |Elemwise{gt,no_inplace} [id CQ] >>>> <TensorType(bool, scalar)> '' 42 >>>> >>>> | | | | | | | | | | | | | | | | | |Elemwise{Composite{(((i0 - (((i1 - >>>> i2) * i3) + i4)) // i5) + i6)}}[(0, 0)] [id CN] <TensorType(int64, scalar)> >>>> '' 39 >>>> >>>> | | | | | | | | | | | | | | | | | |TensorConstant{0} [id CR] >>>> <TensorType(int8, scalar)> >>>> >>>> | | | | | | | | | | | | | | | | |GpuDnnConvDesc{border_mode='valid', >>>> subsample=(2, 2), conv_mode='conv', precision='float32'} [id CS] >>>> <CDataType{cudnnConvolutionDescriptor_t}> >>>> '' 30 >>>> >>>> | | | | | | | | | | | | | | | | | |Shape [id CT] <TensorType(int64, >>>> vector)> '' 22 >>>> >>>> | | | | | | | | | | | | | | | | | |GpuContiguous [id BS] >>>> <GpuArrayType<None>(float32, (False, False, False, False))> '' 10 >>>> >>>> | | | | | | | | | | | | | | | | |Constant{1.0} [id CU] <float32> >>>> >>>> | | | | | | | | | | | | | | | | |Constant{0.0} [id CV] <float32> >>>> >>>> | | | | | | | | | | | | | | | |InplaceGpuDimShuffle{x,0,x,x} [id CW] >>>> <GpuArrayType<None>(float32, (True, False, True, True))> '' 9 >>>> >>>> | | | | | | | | | | | | | | | | |<GpuArrayType<None>(float32, >>>> (False,))> [id CX] <GpuArrayType<None>(float32, (False,))> >>>> >>>> | | | | | | | | | | | | | | | |GpuArrayConstant{[[[[ 0.1]]]]} [id BL] >>>> <GpuArrayType<None>(float32, (True, True, True, True))> >>>> >>>> | | | | | | | | | | | | | | |TensorConstant{[128 64 14 14]} [id CY] >>>> <TensorType(int32, vector)> >>>> >>>> | | | | | | | | | | | | | |GpuContiguous [id CZ] >>>> <GpuArrayType<None>(float32, (False, False, False, False))> '' 8 >>>> >>>> | | | | | | | | | | | | | | |<GpuArrayType<None>(float32, (False, >>>> False, False, False))> [id DA] <GpuArrayType<None>(float32, (False, False, >>>> False, False))> >>>> >>>> | | | | | | | | | | | | | |GpuAllocEmpty{dtype='float32', >>>> context_name=None} [id DB] <GpuArrayType<None>(float32, (False, False, >>>> False, False))> '' 63 >>>> >>>> | | | | | | | | | | | | | | |Assert{msg='The convolution would produce >>>> an invalid shape (dim[0] < 0).'} [id DC] <TensorType(int64, scalar)> '' 60 >>>> >>>> | | | | | | | | | | | | | | | |Shape_i{0} [id DD] <TensorType(int64, >>>> scalar)> '' 54 >>>> >>>> | | | | | | | | | | | | | | | | |GpuContiguous [id BI] >>>> <GpuArrayType<None>(float32, (False, False, False, False))> '' 51 >>>> >>>> | | | | | | | | | | | | | | | |Elemwise{ge,no_inplace} [id DE] >>>> <TensorType(bool, scalar)> '' 57 >>>> >>>> | | | | | | | | | | | | | | | |Shape_i{0} [id DD] <TensorType(int64, >>>> scalar)> '' 54 >>>> >>>> | | | | | | | | | | | | | | | |TensorConstant{0} [id DF] >>>> <TensorType(int8, scalar)> >>>> >>>> | | | | | | | | | | | | | | |Assert{msg='The convolution would produce >>>> an invalid shape (dim[1] < 0).'} [id DG] <TensorType(int64, scalar)> '' 33 >>>> >>>> | | | | | | | | | | | | | | | |Shape_i{0} [id DH] <TensorType(int64, >>>> scalar)> '' 21 >>>> >>>> | | | | | | | | | | | | | | | | |GpuContiguous [id CZ] >>>> <GpuArrayType<None>(float32, (False, False, False, False))> '' 8 >>>> >>>> | | | | | | | | | | | | | | | |Elemwise{ge,no_inplace} [id DI] >>>> <TensorType(bool, scalar)> '' 29 >>>> >>>> | | | | | | | | | | | | | | | |Shape_i{0} [id DH] <TensorType(int64, >>>> scalar)> '' 21 >>>> >>>> | | | | | | | | | | | | | | | |TensorConstant{0} [id DJ] >>>> <TensorType(int8, scalar)> >>>> >>>> | | | | | | | | | | | | | | |Assert{msg='The convolution would produce >>>> an invalid shape (dim[2] <= 0).'} [id DK] <TensorType(int64, scalar)> '' 62 >>>> >>>> | | | | | | | | | | | | | | | |Elemwise{Composite{(((i0 - (((i1 - i2) * >>>> i3) + i4)) // i5) + i6)}}[(0, 0)] [id DL] <TensorType(int64, scalar)> '' 56 >>>> >>>> | | | | | | | | | | | | | | | | |Shape_i{2} [id DM] <TensorType(int64, >>>> scalar)> '' 53 >>>> >>>> | | | | | | | | | | | | | | | | | |GpuContiguous [id BI] >>>> <GpuArrayType<None>(float32, (False, False, False, False))> '' 51 >>>> >>>> | | | | | | | | | | | | | | | | |Shape_i{2} [id DN] <TensorType(int64, >>>> scalar)> '' 20 >>>> >>>> | | | | | | | | | | | | | | | | | |GpuContiguous [id CZ] >>>> <GpuArrayType<None>(float32, (False, False, False, False))> '' 8 >>>> >>>> | | | | | | | | | | | | | | | | |TensorConstant{1} [id CH] >>>> <TensorType(int8, scalar)> >>>> >>>> | | | | | | | | | | | | | | | | |TensorConstant{1} [id CI] >>>> <TensorType(int32, scalar)> >>>> >>>> | | | | | | | | | | | | | | | | |TensorConstant{1} [id CH] >>>> <TensorType(int8, scalar)> >>>> >>>> | | | | | | | | | | | | | | | | |TensorConstant{2} [id CJ] >>>> <TensorType(int8, scalar)> >>>> >>>> | | | | | | | | | | | | | | | | |TensorConstant{1} [id CH] >>>> <TensorType(int8, scalar)> >>>> >>>> | | | | | | | | | | | | | | | |Elemwise{gt,no_inplace} [id DO] >>>> <TensorType(bool, scalar)> '' 59 >>>> >>>> | | | | | | | | | | | | | | | |Elemwise{Composite{(((i0 - (((i1 - i2) * >>>> i3) + i4)) // i5) + i6)}}[(0, 0)] [id DL] <TensorType(int64, scalar)> '' 56 >>>> >>>> | | | | | | | | | | | | | | | |TensorConstant{0} [id DP] >>>> <TensorType(int8, scalar)> >>>> >>>> | | | | | | | | | | | | | | |Assert{msg='The convolution would produce >>>> an invalid shape (dim[3] <= 0).'} [id DQ] <TensorType(int64, scalar)> '' 61 >>>> >>>> | | | | | | | | | | | | | | |Elemwise{Composite{(((i0 - (((i1 - i2) * >>>> i3) + i4)) // i5) + i6)}}[(0, 0)] [id DR] <TensorType(int64, scalar)> '' 55 >>>> >>>> | | | | | | | | | | | | | | | |Shape_i{3} [id DS] <TensorType(int64, >>>> scalar)> '' 52 >>>> >>>> | | | | | | | | | | | | | | | | |GpuContiguous [id BI] >>>> <GpuArrayType<None>(float32, (False, False, False, False))> '' 51 >>>> >>>> | | | | | | | | | | | | | | | |Shape_i{3} [id DT] <TensorType(int64, >>>> scalar)> '' 19 >>>> >>>> | | | | | | | | | | | | | | | | |GpuContiguous [id CZ] >>>> <GpuArrayType<None>(float32, (False, False, False, False))> '' 8 >>>> >>>> | | | | | | | | | | | | | | | |TensorConstant{1} [id CH] >>>> <TensorType(int8, scalar)> >>>> >>>> | | | | | | | | | | | | | | | |TensorConstant{1} [id CI] >>>> <TensorType(int32, scalar)> >>>> >>>> | | | | | | | | | | | | | | | |TensorConstant{1} [id CH] >>>> <TensorType(int8, scalar)> >>>> >>>> | | | | | | | | | | | | | | | |TensorConstant{2} [id CJ] >>>> <TensorType(int8, scalar)> >>>> >>>> | | | | | | | | | | | | | | | |TensorConstant{1} [id CH] >>>> <TensorType(int8, scalar)> >>>> >>>> | | | | | | | | | | | | | | |Elemwise{gt,no_inplace} [id DU] >>>> <TensorType(bool, scalar)> '' 58 >>>> >>>> | | | | | | | | | | | | | | |Elemwise{Composite{(((i0 - (((i1 - i2) * >>>> i3) + i4)) // i5) + i6)}}[(0, 0)] [id DR] <TensorType(int64, scalar)> '' 55 >>>> >>>> | | | | | | | | | | | | | | |TensorConstant{0} [id DV] >>>> <TensorType(int8, scalar)> >>>> >>>> | | | | | | | | | | | | | |GpuDnnConvDesc{border_mode='valid', >>>> subsample=(2, 2), conv_mode='conv', precision='float32'} [id DW] >>>> <CDataType{cudnnConvolutionDescriptor_t}> >>>> '' 28 >>>> >>>> | | | | | | | | | | | | | | |Shape [id DX] <TensorType(int64, vector)> >>>> '' 18 >>>> >>>> | | | | | | | | | | | | | | |GpuContiguous [id CZ] >>>> <GpuArrayType<None>(float32, (False, False, False, False))> '' 8 >>>> >>>> | | | | | | | | | | | | | |Constant{1.0} [id CU] <float32> >>>> >>>> | | | | | | | | | | | | | |Constant{0.0} [id CV] <float32> >>>> >>>> | | | | | | | | | | | | |InplaceGpuDimShuffle{x,0,x,x} [id DY] >>>> <GpuArrayType<None>(float32, (True, False, True, True))> '' 7 >>>> >>>> | | | | | | | | | | | | | |<GpuArrayType<None>(float32, (False,))> [id >>>> DZ] <GpuArrayType<None>(float32, (False,))> >>>> >>>> | | | | | | | | | | | | |GpuArrayConstant{[[[[ 0.095]]]]} [id BG] >>>> <GpuArrayType<None>(float32, (True, True, True, True))> >>>> >>>> | | | | | | | | | | | |TensorConstant{[ 128 3200]} [id EA] >>>> <TensorType(int32, vector)> >>>> >>>> | | | | | | | | | | |Constant{0} [id EB] <int64> >>>> >>>> | | | | | | | | | |Subtensor{int64} [id EC] <TensorType(int64, scalar)> >>>> '' 17 >>>> >>>> | | | | | | | | | |Shape [id ED] <TensorType(int64, vector)> '' 6 >>>> >>>> | | | | | | | | | | |w [id EE] <GpuArrayType<None>(float32, (False, >>>> False))> >>>> >>>> | | | | | | | | | |Constant{1} [id EF] <int64> >>>> >>>> | | | | | | | | |TensorConstant{0.25} [id EG] <TensorType(float64, >>>> scalar)> >>>> >>>> | | | | | | | | |GpuReshape{2} [id BD] <GpuArrayType<None>(float32, >>>> (False, False))> '' 66 >>>> >>>> | | | | | | | | |w [id EE] <GpuArrayType<None>(float32, (False, False))> >>>> >>>> | | | | | | | | |TensorConstant{0.0} [id EH] <TensorType(float64, >>>> scalar)> >>>> >>>> | | | | | | | |InplaceGpuDimShuffle{x,0} [id EI] >>>> <GpuArrayType<None>(float32, (True, False))> '' 5 >>>> >>>> | | | | | | | | |b [id EJ] <GpuArrayType<None>(float32, (False,))> >>>> >>>> | | | | | | | |GpuArrayConstant{[[ 0.1]]} [id Y] >>>> <GpuArrayType<None>(float32, (True, True))> >>>> >>>> | | | | | | |TensorConstant{[128 390]} [id EK] <TensorType(int32, >>>> vector)> >>>> >>>> | | | | | |Constant{0} [id EB] <int64> >>>> >>>> | | | | |Subtensor{int64} [id EL] <TensorType(int64, scalar)> '' 16 >>>> >>>> | | | | |Shape [id EM] <TensorType(int64, vector)> '' 4 >>>> >>>> | | | | | |w [id EN] <GpuArrayType<None>(float32, (False, False))> >>>> >>>> | | | | |Constant{1} [id EF] <int64> >>>> >>>> | | | |TensorConstant{0.25} [id EG] <TensorType(float64, scalar)> >>>> >>>> | | | |GpuReshape{2} [id V] <GpuArrayType<None>(float32, (False, >>>> False))> '' 72 >>>> >>>> | | | |w [id EN] <GpuArrayType<None>(float32, (False, False))> >>>> >>>> | | | |TensorConstant{0.0} [id EH] <TensorType(float64, scalar)> >>>> >>>> | | |InplaceGpuDimShuffle{x,0} [id EO] <GpuArrayType<None>(float32, >>>> (True, False))> '' 3 >>>> >>>> | | |b [id EP] <GpuArrayType<None>(float32, (False,))> >>>> >>>> | |TensorConstant{(1L,) of 1} [id EQ] <TensorType(int32, (True,))> >>>> >>>> |GpuFromHost<None> [id ER] <GpuArrayType<None>(int64, ())> '' 14 >>>> >>>> | |Elemwise{Composite{(i0 * (i1 + i2))}} [id L] <TensorType(int64, >>>> scalar)> '' 2 >>>> >>>> |GpuArrayConstant{0} [id ES] <GpuArrayType<None>(int8, ())> >>>> >>>> |GpuFromHost<None> [id ER] <GpuArrayType<None>(int64, ())> '' 14 >>>> >>>> |GpuFromHost<None> [id ET] <GpuArrayType<None>(int64, ())> '' 11 >>>> >>>> | |Shape_i{0} [id EU] <TensorType(int64, scalar)> '' 0 >>>> >>>> | |<GpuArrayType<None>(float32, (False,))> [id F] >>>> <GpuArrayType<None>(float32, (False,))> >>>> >>>> |GpuFromHost<None> [id ER] <GpuArrayType<None>(int64, ())> '' 14 >>>> >>>> |GpuArrayConstant{0} [id ES] <GpuArrayType<None>(int8, ())> >>>> >>>> |GpuArrayConstant{-1} [id EV] <GpuArrayType<None>(int8, ())> >>>> >>>> |GpuFromHost<None> [id ET] <GpuArrayType<None>(int64, ())> '' 11 >>>> >>>> |GpuFromHost<None> [id ET] <GpuArrayType<None>(int64, ())> '' 11 >>>> >>>> |GpuArrayConstant{0} [id ES] <GpuArrayType<None>(int8, ())> >>>> >>>> |GpuArrayConstant{0} [id ES] <GpuArrayType<None>(int8, ())> >>>> >>>> |GpuFromHost<None> [id EW] <GpuArrayType<None>(int64, ())> '' 12 >>>> >>>> | |Elemwise{mul,no_inplace} [id H] <TensorType(int64, scalar)> '' 1 >>>> >>>> |GpuArrayConstant{0} [id ES] <GpuArrayType<None>(int8, ())> >>>> >>>> |GpuFromHost<None> [id EW] <GpuArrayType<None>(int64, ())> '' 12 >>>> >>>> |GpuFromHost<None> [id ET] <GpuArrayType<None>(int64, ())> '' 11 >>>> >>>> |GpuFromHost<None> [id EW] <GpuArrayType<None>(int64, ())> '' 12 >>>> >>>> |GpuArrayConstant{0} [id ES] <GpuArrayType<None>(int8, ())> >>>> >>>> |GpuArrayConstant{0} [id ES] <GpuArrayType<None>(int8, ())> >>>> >>>> |GpuFromHost<None> [id ET] <GpuArrayType<None>(int64, ())> '' 11 >>>> >>>> |GpuFromHost<None> [id ET] <GpuArrayType<None>(int64, ())> '' 11 >>>> >>>> |GpuArrayConstant{0} [id ES] <GpuArrayType<None>(int8, ())> >>>> >>>> |GpuArrayConstant{0} [id ES] <GpuArrayType<None>(int8, ())> >>>> >>>> -- >>>> >>>> --- >>>> 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 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