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 <[email protected]> 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 < > [email protected]> 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 < >> [email protected]> 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 < >>> [email protected]> 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 < >>> [email protected]> 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 >>> an email to [email protected]. >>> For more options, visit https://groups.google.com/d/optout. >>> >>> -- >>> >>> --- >>> You received this message because you are subscribed to a topic in the >>> Google Groups "theano-users" group. >>> To unsubscribe from this topic, visit >>> https://groups.google.com/d/topic/theano-users/-bAlrdp-IIQ/unsubscribe. >>> To unsubscribe from this group and all its topics, send an email to >>> [email protected]. >>> >>> >>> For more options, visit https://groups.google.com/d/optout. >>> >>> -- >>> >>> --- >>> You received this message because you are 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