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, ())>
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