[c:@sddlmZddlmZdZdxdxdxdZdxdxdxdZdxdxdxdxdxdZdxedxdxdxdZ dxdxdxdxdxd Z dxedxdxdxd Z dxdxdxdxdxd Z dxedxdxdxd Z dxedxdxdxd ZdxdxdxdxdxdZdxdxdxdxdxdZdxedxdxdxdZdxdxdxdxdxdZdxedxdxdxdZdxedxdxdxdZdxdxdxdxdxdZdxedxdxdxdZdxedxdxdxdZdxedxdxdxdZdxdxdxdxdxdZdxdxdxdxdxdZdxdxdxdxdxdZdxdxdxdxdxdZdxedxdxdxdZdxdxdxdxdxdZdxedxdxdxdZdxdxdxdxdxdZ dxedxdxdxd Z!dxdxdxdxdxd!Z"dxedxdxdxd"Z#dxdxdxdxdxd#Z$dxedxdxdxd$Z%d%Z&d&Z'dxdxdxd'Z(dxedxdxdxd(Z)dxdxdxdxdxd)Z*dxdxdxdxdxd*Z+dxedxdxdxd+Z,dxdxdxdxdxd,Z-dxedxdxdxd-Z.dxedxdxdxd.Z/dxedxdxdxd/Z0dxedxdxdxd0Z1dxedxdxdxd1Z2dxdxdxdxdxd2Z3eeeeeeedxdxdxd3 Z4dxdxdxd4Z5dxdxdxd5Z6dxdxdxd6Z7dxdxdxd7Z8dxdxdxd8Z9dxdxdxd9Z:dxdxdxd:Z;dxdxdxd;Z<dxdxdxd<Z=dxdxdxd=Z>dxdxdxd>Z?dxdxdxd?Z@dxdxdxd@ZAdxdxdxdAZBdxdxdxdBZCdxdxdxdCZDdxdxdxdDZEdxdxdxdEZFdxdxdxdFZGdxdxdxdGZHdxdxdxdHZIdxdxdxdIZJdxdxdxdJZKdxdxdxdKZLdxdxdxdLZMdxdxdxdMZNdxdxdxdNZOdxdxdxdOZPdxdxdxdPZQdxdxdxdQZRdxdxdxdRZSdxdxdxdSZTdxdxdxdTZUdxdxdxdUZVdxdxdxdVZWdxdxdxdWZXdxdxdxdXZYdxdxdxdYZZdxdxdxdZZ[dxdxdxd[Z\dxdxdxd\Z]dxdxdxd]Z^dxdxdxd^Z_dxdxdxd_Z`dxdxdxd`ZadxdxdxdaZbdxdxdxdbZcdxdxdxdcZddxdxdxddZedxdxdxdeZfdxdxdxdfZgdxdxdxdgZhdxdxdxdhZidxdxdxdiZjdxdxdxdjZkdxdxdxdkZldxdxdxdlZmdxdxdxdxdxdmZndxdxdxdnZodxdxdxdxdxdoZpdxdxdxdxdxdpZqdxdxdxdxdxdqZrdxdxdxdxdxdrZsdxdxdxdxdxdsZtdxdxdxdxdxdtZudxdxdxduZvdxdxdxdvZwdxdxdxdwZxdxdxdxdxZydxdxdxdyZzdxdxdxdzZ{dxdxdxd{Z|dxdxdxd|Z}dxdxdxd}Z~dxdxdxd~ZdxdxdxdZdxdxdxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdZeeedxdxdxdZedxdxdxdZeeeeeeeeedxdxdxd ZdxdxdxdZdxdxdxdxdxdZdxdxdxdxdxdZdxdxdxdZdxdxdxdxdxdZdxdxdxdZdxdxdxdZdxedxdxdxdZeeedxdxdxdZdxdxdxdxdxdZdxdxdxdZdxdxdxdxdxdZdxdxdxdxdxdZdxdxedxdxdxdZdxdxdxdZdxdxdxdZdxdxedxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdxdxdZdxdxdxdxdxdZdxdxdxdxdxdZdxdxdxdxdxdZdxdxdxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdZdxdxedxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdZdxdxedxdxdxdZdxdxdxdZdxdxedxdxdxdZdxdxdxdZdxedxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdZdxdxedxdxdxdZdxdxdxdZdxdxdxdxdxdZdxdxdxdxdxdZdxdxedxdxdxdZdxdxdxdxdxdZdxdxdxdxdxdZdxdxdxdZdxdxdxdZdxdxedxdxdxdZdxdxedxdxdxdZdxdxdxdxdxdZdxdxdxdZdxdxdxdxdxdZdxdxdxdxdxdZdxdxdxdxdxdZdxdxdxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdxdxdZdxdxdxdxdxdZdxdxdxdZdxdxdxdxdxdZdxdxdxdxdxdZdxdxdxdZdxdxdxdxdxdZdxdxdxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdxdxdZdxdxdxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdZdxdxdxdZdZdxdxdxdxdZdxdxdxdxdZdxdxeeedxdxdxdZdxeeeedxdxdxdZdxeeeeeeedxdxdxd ZdxeedxdxdxdZeeedxdxdxdZdxeeedxdxdxdZdxdxdxdxdxdZdxedxdxdxdZdxdxdxdxdxdZdxedxdxdxdZeeeeedxdxdxdZdZeeeedxdxdxdZdxdxdxdxdxdZdxdxdxdxdxdZdxdxdxdxdxdZdxedxdxdxdZdxedxdxdxdZdxdxeedxdxdxdZdxdxdxdxdxdZdxedxdxdxdZdxdxdxdxdxdZdxeeeeeeedxdxdxd ZdxdxdxdxdxdZdxdxdxdxdxdZdxedxdxdxdZdxedxdxdxdZdxdxdxdxdxdZdxedxdxdxdZdxdxdxdxdxdZdxedxdxdxdZdxdxdxdxdxdZdxedxdxdxdZdxdxdxdxdxdZ dxedxdxdxd Z dxdxdxdxdxd Z dxedxdxdxd Z dxdxdxdxdxd Z dxedxdxdxd ZdxdxdxdxdxdZdxedxdxdxdZdxdxdxdxdxdZdxedxdxdxdZdxdxdxdxdxdZdxedxdxdxdZdxdxdxdxdxdZeeedxdxdxdZdxdxdxdxdxdZdxedxdxdxdZdxdxdxdxdxdZdxedxdxdxdZeeeedxdxdxdZeeeeedxdxdxdZeeeeedxdxdxdZeeeeedxdxdxdZeeeeedxdxdxdZeeeedxdxdxdZ eeeeedxdxdxd Z!dxedxdxdxd!Z"dxedxdxdxd"Z#dxedxdxdxd#Z$dxedxdxdxd$Z%d%Z&dxedxdxdxd&Z'dxeedxdxdxd'Z(dxdxeedxdxdxd(Z)dxdxeedxdxdxd)Z*dxeeedxdxdxd*Z+dxdxeedxdxdxd+Z,dxdxeedxdxdxd,Z-dxeedxdxdxd-Z.dxdxeedxdxdxd.Z/eedxdxdxd/Z0dxdxdxdxdxd0Z1dxedxdxdxd1Z2dxedxdxdxd2Z3dxdxdxedxdxdxd3Z4edxdxdxd4Z5dxdxdxdxd5Z6dxdxeeedxdxdxd6Z7dxeeeedxdxdxd7Z8dxeeedxdxdxd8Z9dxdxdxdxdxd9Z:dxedxdxdxd:Z;d;Z<eeedxdxdxd<Z=eeedxdxdxd=Z>d>d?d@dAdBdCdDdEdFdGdHdIdJdKdLdMdNdOdPdQdRdSdTdUdVdWdXdYdZd[d\d]d^d_d`dadbdcdddedfdgdhdidjdkdldmdndodpdqdrdsdtdudvdwdxdydzd{d|d}d~ddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddd d d d d ddddddddddddddddddd d!d"d#d$d%d&d'd(d)d*d+d,d-d.d/d0d1d2d3d4d5d6d7d8d9d:d;d<d=d>d?d@dAdBdCdDdEdFdGdHdIdJdKdLdMdNdOdPdQdRdSdTdUdVdWdXdYdZd[d\d]d^d_d`dadbdcdddedfdgdhdidjdkdldmdndodpdqdrdsdtdudvdwg:Z?dxS(yi(t SymbolBasei(t_NullcOsdS(s Parameters ---------- data : Symbol[] input data list name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((tdatatkwargs((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _CachedOpscKsdS(sSpecial op to copy data cross device Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((tnametattrtoutR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_CrossDeviceCopyscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_CustomFunction)scKsdS(sTDivides arguments element-wise. The storage type of ``elemwise_div`` output is always dense Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((tlhstrhsRRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_Div:scKsdS(slDivide an array with a scalar. ``_div_scalar`` only operates on data array of input if input is sparse. For example, if input of shape (100, 100) has only 2 non zero elements, i.e. input.data = [5, 6], scalar = nan, it will result output.data = [nan, nan] instead of 10000 nans. Defined in src/operator/tensor/elemwise_binary_scalar_op_basic.cc:L171 Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RtscalarRRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _DivScalarRscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_EqualpscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _EqualScalarscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_GreaterscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_GreaterEqualScalarscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_GreaterScalarscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_Greater_EqualscKsdS(swGiven the "legs" of a right triangle, return its hypotenuse. Defined in src/operator/tensor/elemwise_binary_op_extended.cc:L79 Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_HypotscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _HypotScalarscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_LesserscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_LesserEqualScalar(scKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _LesserScalar<scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _Lesser_EqualPscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_LogicalAndScalardscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_LogicalOrScalarxscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_LogicalXorScalarscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _Logical_AndscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _Logical_OrscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _Logical_XorscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_MaximumscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_MaximumScalarscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_MinimumscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_MinimumScalarscKsdS(sSubtracts arguments element-wise. The storage type of ``elemwise_sub`` output depends on storage types of inputs - elemwise_sub(row_sparse, row_sparse) = row_sparse - elemwise_sub(csr, csr) = csr - elemwise_sub(default, csr) = default - elemwise_sub(csr, default) = default - elemwise_sub(default, rsp) = default - elemwise_sub(rsp, default) = default - otherwise, ``elemwise_sub`` generates output with default storage Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_Minus,scKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _MinusScalarLscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_Mod`scKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _ModScalartscKsdS(sMultiplies arguments element-wise. The storage type of ``elemwise_mul`` output depends on storage types of inputs - elemwise_mul(default, default) = default - elemwise_mul(row_sparse, row_sparse) = row_sparse - elemwise_mul(default, row_sparse) = row_sparse - elemwise_mul(row_sparse, default) = row_sparse - elemwise_mul(csr, csr) = csr - otherwise, ``elemwise_mul`` generates output with default storage Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_MulscKsdS(snMultiply an array with a scalar. ``_mul_scalar`` only operates on data array of input if input is sparse. For example, if input of shape (100, 100) has only 2 non zero elements, i.e. input.data = [5, 6], scalar = nan, it will result output.data = [nan, nan] instead of 10000 nans. Defined in src/operator/tensor/elemwise_binary_scalar_op_basic.cc:L149 Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _MulScalarscOsdS(sWStub for implementing an operator implemented in native frontend language with ndarray. Parameters ---------- data : Symbol[] Input data for the custom operator. info : ptr, required name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_NDArrayscOsdS(sStub for implementing an operator implemented in native frontend language. Parameters ---------- data : Symbol[] Input data for the custom operator. info : ptr, required need_top_grad : boolean, optional, default=1 Whether this layer needs out grad for backward. Should be false for loss layers. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_NativescKsdS(sPlace holder for variable who cannot perform gradient Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _NoGradientscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_NotEqualScalarscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _Not_EqualscKsdS(sAdds arguments element-wise. The storage type of ``elemwise_add`` output depends on storage types of inputs - elemwise_add(row_sparse, row_sparse) = row_sparse - elemwise_add(csr, csr) = csr - elemwise_add(default, csr) = default - elemwise_add(csr, default) = default - elemwise_add(default, rsp) = default - elemwise_add(rsp, default) = default - otherwise, ``elemwise_add`` generates output with default storage Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_Plus&scKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _PlusScalarFscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_PowerZscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _PowerScalarnscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _RDivScalarscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _RMinusScalarscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _RModScalarscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _RPowerScalarscKsdS(sAdds arguments element-wise. The storage type of ``elemwise_add`` output depends on storage types of inputs - elemwise_add(row_sparse, row_sparse) = row_sparse - elemwise_add(csr, csr) = csr - elemwise_add(default, csr) = default - elemwise_add(csr, default) = default - elemwise_add(default, rsp) = default - elemwise_add(rsp, default) = default - otherwise, ``elemwise_add`` generates output with default storage Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_addsc KsdS(sReturn evenly spaced values within a given interval. Similar to Numpy Parameters ---------- start : double, required Start of interval. The interval includes this value. The default start value is 0. stop : double or None, optional, default=None End of interval. The interval does not include this value, except in some cases where step is not an integer and floating point round-off affects the length of out. step : double, optional, default=1 Spacing between values. repeat : int, optional, default='1' The repeating time of all elements. E.g repeat=3, the element a will be repeated three times --> a, a, a. infer_range : boolean, optional, default=0 Whether to infer the stop position from the start, step, repeat, and output tensorsize. ctx : string, optional, default='' Context of output, in format [cpu|gpu|cpu_pinned](n).Only used for imperative calls. dtype : {'float16', 'float32', 'float64', 'int32', 'int64', 'int8', 'uint8'},optional, default='float32' Target data type. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i(( tstarttstoptsteptrepeatt infer_rangetctxtdtypeRRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_arangescKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_ActivationscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_BatchNorm!scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_BatchNorm_v12scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_BilinearSamplerCscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_CachedOpTscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_ConcatescKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_ConvolutionvscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_Convolution_v1scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_CorrelationscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_CropscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_CustomscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_CustomFunctionscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_DeconvolutionscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_DropoutscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_EmbeddingscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_FullyConnectedscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_GridGenerator scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt#_backward_IdentityAttachKLSparseReg1scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_InstanceNormBscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_L2NormalizationSscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _backward_LRNdscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_LayerNormuscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_LeakyReLUscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_MakeLossscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _backward_PadscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_PoolingscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_Pooling_v1scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _backward_RNNscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_ROIAlignscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_ROIPoolingscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_SVMOutputscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_SequenceLastscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_SequenceMask0scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_SequenceReverseAscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_SliceChannelRscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_SoftmaxcscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_SoftmaxActivationtscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_SoftmaxOutputscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_SparseEmbeddingscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_SpatialTransformerscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_SwapAxisscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_UpSamplingscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward__CrossDeviceCopyscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward__NDArrayscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward__NativescKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt(_backward__contrib_DeformableConvolution scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt)_backward__contrib_DeformablePSROIPoolingscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt$_backward__contrib_MultiBoxDetection/scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _backward__contrib_MultiBoxPrior@scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt!_backward__contrib_MultiBoxTargetQscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _backward__contrib_MultiProposalbscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward__contrib_PSROIPoolingsscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward__contrib_ProposalscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _backward__contrib_SyncBatchNormscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward__contrib_count_sketchscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward__contrib_fftscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward__contrib_ifftscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _backward_absscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _backward_addscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_arccosscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_arccoshscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_arcsin&scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_arcsinh:scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_arctanNscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_arctanhbscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_batch_dotvscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_broadcast_addscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_broadcast_divscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_broadcast_hypotscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_broadcast_maximumscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_broadcast_minimumscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_broadcast_modscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_broadcast_mulscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_broadcast_powerscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_broadcast_sub scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_cast scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_cbrt1 scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_clipE scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_condV scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt&_backward_contrib_AdaptiveAvgPooling2Dg scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt"_backward_contrib_BilinearResize2Dx scKsdS(s' Parameters ---------- is_ascend : boolean, optional, default=0 Use ascend order for scores instead of descending. Please set threshold accordingly. threshold : float, required Ignore matching when score < thresh, if is_ascend=false, or ignore score > thresh, if is_ascend=true. topk : int, optional, default='-1' Limit the number of matches to topk, set -1 for no limit name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((t is_ascendt thresholdttopkRRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt$_backward_contrib_bipartite_matching scKsdS(s Parameters ---------- format : {'center', 'corner'},optional, default='corner' The box encoding type. "corner" means boxes are encoded as [xmin, ymin, xmax, ymax], "center" means boxes are encodes as [x, y, width, height]. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((tformatRRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_contrib_box_iou sc KsdS(s Parameters ---------- overlap_thresh : float, optional, default=0.5 Overlapping(IoU) threshold to suppress object with smaller score. valid_thresh : float, optional, default=0 Filter input boxes to those whose scores greater than valid_thresh. topk : int, optional, default='-1' Apply nms to topk boxes with descending scores, -1 to no restriction. coord_start : int, optional, default='2' Start index of the consecutive 4 coordinates. score_index : int, optional, default='1' Index of the scores/confidence of boxes. id_index : int, optional, default='-1' Optional, index of the class categories, -1 to disable. force_suppress : boolean, optional, default=0 Optional, if set false and id_index is provided, nms will only apply to boxes belongs to the same category in_format : {'center', 'corner'},optional, default='corner' The input box encoding type. "corner" means boxes are encoded as [xmin, ymin, xmax, ymax], "center" means boxes are encodes as [x, y, width, height]. out_format : {'center', 'corner'},optional, default='corner' The output box encoding type. "corner" means boxes are encoded as [xmin, ymin, xmax, ymax], "center" means boxes are encodes as [x, y, width, height]. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i(( toverlap_thresht valid_threshRt coord_startt score_indextid_indextforce_suppresst in_formatt out_formatRRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_contrib_box_nms s"cKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_copy scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _backward_cos scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_cosh scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_ctc_loss scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_degrees scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_diag4 scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _backward_divE scKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_div_scalarV scKsdS(s Parameters ---------- transpose_a : boolean, optional, default=0 If true then transpose the first input before dot. transpose_b : boolean, optional, default=0 If true then transpose the second input before dot. forward_stype : {None, 'csr', 'default', 'row_sparse'},optional, default='None' The desired storage type of the forward output given by user, if thecombination of input storage types and this hint does not matchany implemented ones, the dot operator will perform fallback operationand still produce an output of the desired storage type. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((t transpose_at transpose_bt forward_stypeRRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _backward_dotj scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_expm1 scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_foreach scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_gamma scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_gammaln scKsdS(sAccumulates data according to indices and get the result. It's the backward of `gather_nd`. Given `data` with shape `(Y_0, ..., Y_{K-1}, X_M, ..., X_{N-1})` and indices with shape `(M, Y_0, ..., Y_{K-1})`, the output will have shape `(X_0, X_1, ..., X_{N-1})`, where `M <= N`. If `M == N`, data shape should simply be `(Y_0, ..., Y_{K-1})`. The elements in output is defined as follows:: output[indices[0, y_0, ..., y_{K-1}], ..., indices[M-1, y_0, ..., y_{K-1}], x_M, ..., x_{N-1}] += data[y_0, ..., y_{K-1}, x_M, ..., x_{N-1}] all other entries in output are 0 or the original value if AddTo is triggered. Examples:: data = [2, 3, 0] indices = [[1, 1, 0], [0, 1, 0]] shape = (2, 2) _backward_gather_nd(data, indices, shape) = [[0, 0], [2, 3]] # Same as scatter_nd # The difference between scatter_nd and scatter_nd_acc is the latter will accumulate # the values that point to the same index. data = [2, 3, 0] indices = [[1, 1, 0], [1, 1, 0]] shape = (2, 2) _backward_gather_nd(data, indices, shape) = [[0, 0], [0, 5]] Parameters ---------- data : Symbol data indices : Symbol indices shape : Shape(tuple), required Shape of output. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RtindicestshapeRRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_gather_nd s3cKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_hard_sigmoid scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_hypot scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input scalar : float scalar value name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_hypot_scalar$ scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_linalg_gelqf: scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_linalg_gemmK scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_linalg_gemm2\ scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_linalg_potrfm scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_linalg_potri~ scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_linalg_sumlogdiag scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_linalg_syevd scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_linalg_syrk scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_linalg_trmm scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_linalg_trsm scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_linear_reg_out scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _backward_log scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_log10 scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_log1p scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_log21 scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_log_softmaxE scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_logistic_reg_outY scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_mae_reg_outj scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _backward_max{ scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_maximum scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input scalar : float scalar value name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_maximum_scalar scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_mean scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _backward_min scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_minimum scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input scalar : float scalar value name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_minimum_scalar scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _backward_mod scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input scalar : float scalar value name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_mod_scalar scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _backward_mul# scKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_mul_scalar4 scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_nanprodH scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_nansumY scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_normj scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_pick{ scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_power scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input scalar : float scalar value name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_power_scalar scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_prod scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_radians scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_rcbrt scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input scalar : float scalar value name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_rdiv_scalar scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_reciprocalscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_reluscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_repeat*scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_reverse;scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input scalar : float scalar value name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_rmod_scalarLscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input scalar : float scalar value name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_rpower_scalarbscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_rsqrtxscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_sample_multinomialscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_sigmoidscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_signscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _backward_sinscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_sinhscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_slicescKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_slice_axisscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_slice_likescKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_smooth_l1 scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_softmax4scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_softmax_cross_entropyHscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_softminYscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_softsignmscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_sparse_retainscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_sqrtscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_squarescKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_square_sumscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_squeezescKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_stackscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _backward_subscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _backward_sumscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_takescKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _backward_tan scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_tanh4scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_tileHscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_topkYscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_wherejscKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_backward_while_loop{scKsdS(s Parameters ---------- name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_broadcast_backwardscOsdS(sRun a if-then-else using user-defined condition and computation From:src/operator/control_flow.cc:1379 This function support variable length of positional input. Parameters ---------- cond : Symbol Input graph for the condition. then_branch : Symbol Input graph for the then branch. else_branch : Symbol Input graph for the else branch. data : Symbol[] The input arrays that include data arrays and states. num_outputs : int, required The number of outputs of the subgraph. cond_input_locs : tuple of <>, required The locations of cond's inputs in the given inputs. then_input_locs : tuple of <>, required The locations of then's inputs in the given inputs. else_input_locs : tuple of <>, required The locations of else's inputs in the given inputs. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_conds!cKsdS(s+Returns a copy of the input. From:src/operator/tensor/elemwise_unary_op_basic.cc:200 Parameters ---------- data : Symbol The input array. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_copyscKsdS(s Parameters ---------- data : NDArray input data name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_copytosc KsdS(sBAssign the rhs to a cropped subset of lhs. Requirements ------------ - output should be explicitly given and be the same as lhs. - lhs and rhs are of the same data type, and on the same device. From:src/operator/tensor/matrix_op.cc:440 Parameters ---------- lhs : Symbol Source input rhs : Symbol value to assign begin : Shape(tuple), required starting indices for the slice operation, supports negative indices. end : Shape(tuple), required ending indices for the slice operation, supports negative indices. step : Shape(tuple), optional, default=[] step for the slice operation, supports negative values. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i(( R R tbegintendR;RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _crop_assigns c KsdS(s6(Assign the scalar to a cropped subset of the input. Requirements ------------ - output should be explicitly given and be the same as input ) From:src/operator/tensor/matrix_op.cc:465 Parameters ---------- data : Symbol Source input scalar : float, optional, default=0 The scalar value for assignment. begin : Shape(tuple), required starting indices for the slice operation, supports negative indices. end : Shape(tuple), required ending indices for the slice operation, supports negative indices. step : Shape(tuple), optional, default=[] step for the slice operation, supports negative values. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i(( RR RRR;RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_crop_assign_scalarsc KsdS(sPad image border with OpenCV. Parameters ---------- src : NDArray source image top : int, required Top margin. bot : int, required Bottom margin. left : int, required Left margin. right : int, required Right margin. type : int, optional, default='0' Filling type (default=cv2.BORDER_CONSTANT). value : double, optional, default=0 (Deprecated! Use ``values`` instead.) Fill with single value. values : tuple of , optional, default=[] Fill with value(RGB[A] or gray), up to 4 channels. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i(( tsrcttoptbottlefttrightttypetvaluetvaluesRRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_cvcopyMakeBorder)scKsdS(sDDecode image with OpenCV. Note: return image in RGB by default, instead of OpenCV's default BGR. Parameters ---------- buf : NDArray Buffer containing binary encoded image flag : int, optional, default='1' Convert decoded image to grayscale (0) or color (1). to_rgb : boolean, optional, default=1 Whether to convert decoded image to mxnet's default RGB format (instead of opencv's default BGR). name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((tbuftflagtto_rgbRRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _cvimdecodeJscKsdS(sYRead and decode image with OpenCV. Note: return image in RGB by default, instead of OpenCV's default BGR. Parameters ---------- filename : string, required Name of the image file to be loaded. flag : int, optional, default='1' Convert decoded image to grayscale (0) or color (1). to_rgb : boolean, optional, default=1 Whether to convert decoded image to mxnet's default RGB format (instead of opencv's default BGR). name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((tfilenameRRRRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _cvimreadascKsdS(sResize image with OpenCV. Parameters ---------- src : NDArray source image w : int, required Width of resized image. h : int, required Height of resized image. interp : int, optional, default='1' Interpolation method (default=cv2.INTER_LINEAR). name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R twthtinterpRRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _cvimresizexscKsdS(sTDivides arguments element-wise. The storage type of ``elemwise_div`` output is always dense Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_divscKsdS(slDivide an array with a scalar. ``_div_scalar`` only operates on data array of input if input is sparse. For example, if input of shape (100, 100) has only 2 non zero elements, i.e. input.data = [5, 6], scalar = nan, it will result output.data = [nan, nan] instead of 10000 nans. Defined in src/operator/tensor/elemwise_binary_scalar_op_basic.cc:L171 Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _div_scalarscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_equalscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _equal_scalarsc KsdS(sCReturn a 2-D array with ones on the diagonal and zeros elsewhere. Parameters ---------- N : , required Number of rows in the output. M : , optional, default=0 Number of columns in the output. If 0, defaults to N k : , optional, default=0 Index of the diagonal. 0 (the default) refers to the main diagonal.A positive value refers to an upper diagonal.A negative value to a lower diagonal. ctx : string, optional, default='' Context of output, in format [cpu|gpu|cpu_pinned](n).Only used for imperative calls. dtype : {'float16', 'float32', 'float64', 'int32', 'int64', 'int8', 'uint8'},optional, default='float32' Target data type. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i(( tNtMtkR>R?RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_eyescOsdS(sRun a for loop over an NDArray with user-defined computation From:src/operator/control_flow.cc:1256 This function support variable length of positional input. Parameters ---------- fn : Symbol Input graph. data : Symbol[] The input arrays that include data arrays and states. num_outputs : int, required The number of outputs of the subgraph. num_out_data : int, required The number of output data of the subgraph. in_state_locs : tuple of <>, required The locations of loop states among the inputs. in_data_locs : tuple of <>, required The locations of input data among the inputs. remain_locs : tuple of <>, required The locations of remaining data among the inputs. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_foreach scKsdS(ssfill target with a scalar value Parameters ---------- shape : Shape(tuple), optional, default=[] The shape of the output ctx : string, optional, default='' Context of output, in format [cpu|gpu|cpu_pinned](n).Only used for imperative calls. dtype : {'float16', 'float32', 'float64', 'int32', 'int64', 'int8', 'uint8'},optional, default='float32' Target data type. value : double, required Value with which to fill newly created tensor name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR>R?RRRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_full*scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _grad_addBscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_greaterVscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_greater_equaljscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_greater_equal_scalar~scKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_greater_scalarscKsdS(sThis operators implements the histogram function. Example:: x = [[0, 1], [2, 2], [3, 4]] histo, bin_edges = histogram(data=x, bin_bounds=[], bin_cnt=5, range=(0,5)) histo = [1, 1, 2, 1, 1] bin_edges = [0., 1., 2., 3., 4.] histo, bin_edges = histogram(data=x, bin_bounds=[0., 2.1, 3.]) histo = [4, 1] Defined in src/operator/tensor/histogram.cc:L132 Parameters ---------- data : Symbol Input ndarray bins : Symbol Input ndarray bin_cnt : int or None, optional, default='None' Number of bins for uniform case range : , optional, default=None The lower and upper range of the bins. if not provided, range is simply (a.min(), a.max()). values outside the range are ignored. the first element of the range must be less than or equal to the second. range affects the automatic bin computation as well. while bin width is computed to be optimal based on the actual data within range, the bin count will fill the entire range including portions containing no data. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((Rtbinstbin_cnttrangeRRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _histograms"cKsdS(swGiven the "legs" of a right triangle, return its hypotenuse. Defined in src/operator/tensor/elemwise_binary_op_extended.cc:L79 Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_hypotscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _hypot_scalarscKsdS(s Parameters ---------- lhs : Symbol First input. rhs : Symbol Second input. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_identity_with_attr_like_rhssc KsdS(sDecode an image, clip to (x0, y0, x1, y1), subtract mean, and write to buffer Parameters ---------- mean : Symbol image mean index : int buffer position for output x0 : int x0 y0 : int y0 x1 : int x1 y1 : int y1 c : int channel size : int length of str_img name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i(( tmeantindextx0ty0tx1ty1tctsizeRRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _imdecode scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_lesser*scKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _lesser_equal>scKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_lesser_equal_scalarRscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_lesser_scalarfscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _logical_andzscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_logical_and_scalarscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _logical_orscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_logical_or_scalarscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _logical_xorscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_logical_xor_scalarscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_maximumscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_maximum_scalarscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_minimumscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_minimum_scalar.scKsdS(sSubtracts arguments element-wise. The storage type of ``elemwise_sub`` output depends on storage types of inputs - elemwise_sub(row_sparse, row_sparse) = row_sparse - elemwise_sub(csr, csr) = csr - elemwise_sub(default, csr) = default - elemwise_sub(csr, default) = default - elemwise_sub(default, rsp) = default - elemwise_sub(rsp, default) = default - otherwise, ``elemwise_sub`` generates output with default storage Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_minusBscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _minus_scalarbscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_modvscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _mod_scalarscKsdS(sMultiplies arguments element-wise. The storage type of ``elemwise_mul`` output depends on storage types of inputs - elemwise_mul(default, default) = default - elemwise_mul(row_sparse, row_sparse) = row_sparse - elemwise_mul(default, row_sparse) = row_sparse - elemwise_mul(row_sparse, default) = row_sparse - elemwise_mul(csr, csr) = csr - otherwise, ``elemwise_mul`` generates output with default storage Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_mulscKsdS(snMultiply an array with a scalar. ``_mul_scalar`` only operates on data array of input if input is sparse. For example, if input of shape (100, 100) has only 2 non zero elements, i.e. input.data = [5, 6], scalar = nan, it will result output.data = [nan, nan] instead of 10000 nans. Defined in src/operator/tensor/elemwise_binary_scalar_op_basic.cc:L149 Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _mul_scalarscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _not_equalscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_not_equal_scalarscKsdS(s Parameters ---------- lhs : NDArray Left operand to the function. rhs : NDArray Right operand to the function. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_onehot_encodescKsdS(sfill target with ones Parameters ---------- shape : Shape(tuple), optional, default=[] The shape of the output ctx : string, optional, default='' Context of output, in format [cpu|gpu|cpu_pinned](n).Only used for imperative calls. dtype : {'float16', 'float32', 'float64', 'int32', 'int64', 'int8', 'uint8'},optional, default='float32' Target data type. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR>R?RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_onesscKsdS(sAdds arguments element-wise. The storage type of ``elemwise_add`` output depends on storage types of inputs - elemwise_add(row_sparse, row_sparse) = row_sparse - elemwise_add(csr, csr) = csr - elemwise_add(default, csr) = default - elemwise_add(csr, default) = default - elemwise_add(default, rsp) = default - elemwise_add(rsp, default) = default - otherwise, ``elemwise_add`` generates output with default storage Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_plus-scKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _plus_scalarMscKsdS(s Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_powerascKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _power_scalaruscKsdS(s Draw random samples from an exponential distribution. Samples are distributed according to an exponential distribution parametrized by *lambda* (rate). Example:: exponential(lam=4, shape=(2,2)) = [[ 0.0097189 , 0.08999364], [ 0.04146638, 0.31715935]] Defined in src/operator/random/sample_op.cc:L115 Parameters ---------- lam : float, optional, default=1 Lambda parameter (rate) of the exponential distribution. shape : Shape(tuple), optional, default=[] Shape of the output. ctx : string, optional, default='' Context of output, in format [cpu|gpu|cpu_pinned](n). Only used for imperative calls. dtype : {'None', 'float16', 'float32', 'float64'},optional, default='None' DType of the output in case this can't be inferred. Defaults to float32 if not defined (dtype=None). name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((tlamRR>R?RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_random_exponentials c KsdS(svDraw random samples from a gamma distribution. Samples are distributed according to a gamma distribution parametrized by *alpha* (shape) and *beta* (scale). Example:: gamma(alpha=9, beta=0.5, shape=(2,2)) = [[ 7.10486984, 3.37695289], [ 3.91697288, 3.65933681]] Defined in src/operator/random/sample_op.cc:L100 Parameters ---------- alpha : float, optional, default=1 Alpha parameter (shape) of the gamma distribution. beta : float, optional, default=1 Beta parameter (scale) of the gamma distribution. shape : Shape(tuple), optional, default=[] Shape of the output. ctx : string, optional, default='' Context of output, in format [cpu|gpu|cpu_pinned](n). Only used for imperative calls. dtype : {'None', 'float16', 'float32', 'float64'},optional, default='None' DType of the output in case this can't be inferred. Defaults to float32 if not defined (dtype=None). name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i(( talphatbetaRR>R?RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _random_gammas"c KsdS(sDraw random samples from a generalized negative binomial distribution. Samples are distributed according to a generalized negative binomial distribution parametrized by *mu* (mean) and *alpha* (dispersion). *alpha* is defined as *1/k* where *k* is the failure limit of the number of unsuccessful experiments (generalized to real numbers). Samples will always be returned as a floating point data type. Example:: generalized_negative_binomial(mu=2.0, alpha=0.3, shape=(2,2)) = [[ 2., 1.], [ 6., 4.]] Defined in src/operator/random/sample_op.cc:L168 Parameters ---------- mu : float, optional, default=1 Mean of the negative binomial distribution. alpha : float, optional, default=1 Alpha (dispersion) parameter of the negative binomial distribution. shape : Shape(tuple), optional, default=[] Shape of the output. ctx : string, optional, default='' Context of output, in format [cpu|gpu|cpu_pinned](n). Only used for imperative calls. dtype : {'None', 'float16', 'float32', 'float64'},optional, default='None' DType of the output in case this can't be inferred. Defaults to float32 if not defined (dtype=None). name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i(( tmuRYRR>R?RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt%_random_generalized_negative_binomials%c KsdS(sDraw random samples from a negative binomial distribution. Samples are distributed according to a negative binomial distribution parametrized by *k* (limit of unsuccessful experiments) and *p* (failure probability in each experiment). Samples will always be returned as a floating point data type. Example:: negative_binomial(k=3, p=0.4, shape=(2,2)) = [[ 4., 7.], [ 2., 5.]] Defined in src/operator/random/sample_op.cc:L149 Parameters ---------- k : int, optional, default='1' Limit of unsuccessful experiments. p : float, optional, default=1 Failure probability in each experiment. shape : Shape(tuple), optional, default=[] Shape of the output. ctx : string, optional, default='' Context of output, in format [cpu|gpu|cpu_pinned](n). Only used for imperative calls. dtype : {'None', 'float16', 'float32', 'float64'},optional, default='None' DType of the output in case this can't be inferred. Defaults to float32 if not defined (dtype=None). name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i(( R"tpRR>R?RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_random_negative_binomials$c KsdS(sDraw random samples from a normal (Gaussian) distribution. .. note:: The existing alias ``normal`` is deprecated. Samples are distributed according to a normal distribution parametrized by *loc* (mean) and *scale* (standard deviation). Example:: normal(loc=0, scale=1, shape=(2,2)) = [[ 1.89171135, -1.16881478], [-1.23474145, 1.55807114]] Defined in src/operator/random/sample_op.cc:L85 Parameters ---------- loc : float, optional, default=0 Mean of the distribution. scale : float, optional, default=1 Standard deviation of the distribution. shape : Shape(tuple), optional, default=[] Shape of the output. ctx : string, optional, default='' Context of output, in format [cpu|gpu|cpu_pinned](n). Only used for imperative calls. dtype : {'None', 'float16', 'float32', 'float64'},optional, default='None' DType of the output in case this can't be inferred. Defaults to float32 if not defined (dtype=None). name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i(( tloctscaleRR>R?RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_random_normals$cKsdS(sDraw random samples from a Poisson distribution. Samples are distributed according to a Poisson distribution parametrized by *lambda* (rate). Samples will always be returned as a floating point data type. Example:: poisson(lam=4, shape=(2,2)) = [[ 5., 2.], [ 4., 6.]] Defined in src/operator/random/sample_op.cc:L132 Parameters ---------- lam : float, optional, default=1 Lambda parameter (rate) of the Poisson distribution. shape : Shape(tuple), optional, default=[] Shape of the output. ctx : string, optional, default='' Context of output, in format [cpu|gpu|cpu_pinned](n). Only used for imperative calls. dtype : {'None', 'float16', 'float32', 'float64'},optional, default='None' DType of the output in case this can't be inferred. Defaults to float32 if not defined (dtype=None). name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RWRR>R?RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_random_poissonBs!c KsdS(sDraw random samples from a uniform distribution. .. note:: The existing alias ``uniform`` is deprecated. Samples are uniformly distributed over the half-open interval *[low, high)* (includes *low*, but excludes *high*). Example:: uniform(low=0, high=1, shape=(2,2)) = [[ 0.60276335, 0.85794562], [ 0.54488319, 0.84725171]] Defined in src/operator/random/sample_op.cc:L66 Parameters ---------- low : float, optional, default=0 Lower bound of the distribution. high : float, optional, default=1 Upper bound of the distribution. shape : Shape(tuple), optional, default=[] Shape of the output. ctx : string, optional, default='' Context of output, in format [cpu|gpu|cpu_pinned](n). Only used for imperative calls. dtype : {'None', 'float16', 'float32', 'float64'},optional, default='None' DType of the output in case this can't be inferred. Defaults to float32 if not defined (dtype=None). name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i(( tlowthighRR>R?RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_random_uniformes&cKsdS(s}Converts a batch of index arrays into an array of flat indices. The operator follows numpy conventions so a single multi index is given by a column of the input matrix. Examples:: A = [[3,6,6],[4,5,1]] ravel(A, shape=(7,6)) = [22,41,37] Defined in src/operator/tensor/ravel.cc:L41 Parameters ---------- data : Symbol Batch of multi-indices shape : Shape(tuple), optional, default=[] Shape of the array into which the multi-indices apply. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_ravel_multi_indexscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _rdiv_scalarscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_rminus_scalarscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _rmod_scalarscOsdS(sk This function support variable length of positional input. Parameters ---------- data : Symbol[] List of arrays to concatenate dim : int, optional, default='1' the dimension to be concated. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_rnn_param_concatscKsdS(s Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_rpower_scalarscKsdS(sConcurrent sampling from multiple exponential distributions with parameters lambda (rate). The parameters of the distributions are provided as an input array. Let *[s]* be the shape of the input array, *n* be the dimension of *[s]*, *[t]* be the shape specified as the parameter of the operator, and *m* be the dimension of *[t]*. Then the output will be a *(n+m)*-dimensional array with shape *[s]x[t]*. For any valid *n*-dimensional index *i* with respect to the input array, *output[i]* will be an *m*-dimensional array that holds randomly drawn samples from the distribution which is parameterized by the input value at index *i*. If the shape parameter of the operator is not set, then one sample will be drawn per distribution and the output array has the same shape as the input array. Examples:: lam = [ 1.0, 8.5 ] // Draw a single sample for each distribution sample_exponential(lam) = [ 0.51837951, 0.09994757] // Draw a vector containing two samples for each distribution sample_exponential(lam, shape=(2)) = [[ 0.51837951, 0.19866663], [ 0.09994757, 0.50447971]] Defined in src/operator/random/multisample_op.cc:L284 Parameters ---------- lam : Symbol Lambda (rate) parameters of the distributions. shape : Shape(tuple), optional, default=[] Shape to be sampled from each random distribution. dtype : {'None', 'float16', 'float32', 'float64'},optional, default='None' DType of the output in case this can't be inferred. Defaults to float32 if not defined (dtype=None). name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RWRR?RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_sample_exponentials.cKsdS(sConcurrent sampling from multiple gamma distributions with parameters *alpha* (shape) and *beta* (scale). The parameters of the distributions are provided as input arrays. Let *[s]* be the shape of the input arrays, *n* be the dimension of *[s]*, *[t]* be the shape specified as the parameter of the operator, and *m* be the dimension of *[t]*. Then the output will be a *(n+m)*-dimensional array with shape *[s]x[t]*. For any valid *n*-dimensional index *i* with respect to the input arrays, *output[i]* will be an *m*-dimensional array that holds randomly drawn samples from the distribution which is parameterized by the input values at index *i*. If the shape parameter of the operator is not set, then one sample will be drawn per distribution and the output array has the same shape as the input arrays. Examples:: alpha = [ 0.0, 2.5 ] beta = [ 1.0, 0.7 ] // Draw a single sample for each distribution sample_gamma(alpha, beta) = [ 0. , 2.25797319] // Draw a vector containing two samples for each distribution sample_gamma(alpha, beta, shape=(2)) = [[ 0. , 0. ], [ 2.25797319, 1.70734084]] Defined in src/operator/random/multisample_op.cc:L282 Parameters ---------- alpha : Symbol Alpha (shape) parameters of the distributions. shape : Shape(tuple), optional, default=[] Shape to be sampled from each random distribution. dtype : {'None', 'float16', 'float32', 'float64'},optional, default='None' DType of the output in case this can't be inferred. Defaults to float32 if not defined (dtype=None). beta : Symbol Beta (scale) parameters of the distributions. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RYRZRR?RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _sample_gamma?s1cKsdS(sConcurrent sampling from multiple generalized negative binomial distributions with parameters *mu* (mean) and *alpha* (dispersion). The parameters of the distributions are provided as input arrays. Let *[s]* be the shape of the input arrays, *n* be the dimension of *[s]*, *[t]* be the shape specified as the parameter of the operator, and *m* be the dimension of *[t]*. Then the output will be a *(n+m)*-dimensional array with shape *[s]x[t]*. For any valid *n*-dimensional index *i* with respect to the input arrays, *output[i]* will be an *m*-dimensional array that holds randomly drawn samples from the distribution which is parameterized by the input values at index *i*. If the shape parameter of the operator is not set, then one sample will be drawn per distribution and the output array has the same shape as the input arrays. Samples will always be returned as a floating point data type. Examples:: mu = [ 2.0, 2.5 ] alpha = [ 1.0, 0.1 ] // Draw a single sample for each distribution sample_generalized_negative_binomial(mu, alpha) = [ 0., 3.] // Draw a vector containing two samples for each distribution sample_generalized_negative_binomial(mu, alpha, shape=(2)) = [[ 0., 3.], [ 3., 1.]] Defined in src/operator/random/multisample_op.cc:L293 Parameters ---------- mu : Symbol Means of the distributions. shape : Shape(tuple), optional, default=[] Shape to be sampled from each random distribution. dtype : {'None', 'float16', 'float32', 'float64'},optional, default='None' DType of the output in case this can't be inferred. Defaults to float32 if not defined (dtype=None). alpha : Symbol Alpha (dispersion) parameters of the distributions. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R\RYRR?RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt%_sample_generalized_negative_binomialrs3cKsdS(s|Concurrent sampling from multiple multinomial distributions. *data* is an *n* dimensional array whose last dimension has length *k*, where *k* is the number of possible outcomes of each multinomial distribution. This operator will draw *shape* samples from each distribution. If shape is empty one sample will be drawn from each distribution. If *get_prob* is true, a second array containing log likelihood of the drawn samples will also be returned. This is usually used for reinforcement learning where you can provide reward as head gradient for this array to estimate gradient. Note that the input distribution must be normalized, i.e. *data* must sum to 1 along its last axis. Examples:: probs = [[0, 0.1, 0.2, 0.3, 0.4], [0.4, 0.3, 0.2, 0.1, 0]] // Draw a single sample for each distribution sample_multinomial(probs) = [3, 0] // Draw a vector containing two samples for each distribution sample_multinomial(probs, shape=(2)) = [[4, 2], [0, 0]] // requests log likelihood sample_multinomial(probs, get_prob=True) = [2, 1], [0.2, 0.3] Parameters ---------- data : Symbol Distribution probabilities. Must sum to one on the last axis. shape : Shape(tuple), optional, default=[] Shape to be sampled from each random distribution. get_prob : boolean, optional, default=0 Whether to also return the log probability of sampled result. This is usually used for differentiating through stochastic variables, e.g. in reinforcement learning. dtype : {'float16', 'float32', 'float64', 'int32', 'uint8'},optional, default='int32' DType of the output in case this can't be inferred. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRtget_probR?RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_sample_multinomials2cKsdS(sConcurrent sampling from multiple negative binomial distributions with parameters *k* (failure limit) and *p* (failure probability). The parameters of the distributions are provided as input arrays. Let *[s]* be the shape of the input arrays, *n* be the dimension of *[s]*, *[t]* be the shape specified as the parameter of the operator, and *m* be the dimension of *[t]*. Then the output will be a *(n+m)*-dimensional array with shape *[s]x[t]*. For any valid *n*-dimensional index *i* with respect to the input arrays, *output[i]* will be an *m*-dimensional array that holds randomly drawn samples from the distribution which is parameterized by the input values at index *i*. If the shape parameter of the operator is not set, then one sample will be drawn per distribution and the output array has the same shape as the input arrays. Samples will always be returned as a floating point data type. Examples:: k = [ 20, 49 ] p = [ 0.4 , 0.77 ] // Draw a single sample for each distribution sample_negative_binomial(k, p) = [ 15., 16.] // Draw a vector containing two samples for each distribution sample_negative_binomial(k, p, shape=(2)) = [[ 15., 50.], [ 16., 12.]] Defined in src/operator/random/multisample_op.cc:L289 Parameters ---------- k : Symbol Limits of unsuccessful experiments. shape : Shape(tuple), optional, default=[] Shape to be sampled from each random distribution. dtype : {'None', 'float16', 'float32', 'float64'},optional, default='None' DType of the output in case this can't be inferred. Defaults to float32 if not defined (dtype=None). p : Symbol Failure probabilities in each experiment. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R"R^RR?RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_sample_negative_binomials3cKsdS(ssConcurrent sampling from multiple normal distributions with parameters *mu* (mean) and *sigma* (standard deviation). The parameters of the distributions are provided as input arrays. Let *[s]* be the shape of the input arrays, *n* be the dimension of *[s]*, *[t]* be the shape specified as the parameter of the operator, and *m* be the dimension of *[t]*. Then the output will be a *(n+m)*-dimensional array with shape *[s]x[t]*. For any valid *n*-dimensional index *i* with respect to the input arrays, *output[i]* will be an *m*-dimensional array that holds randomly drawn samples from the distribution which is parameterized by the input values at index *i*. If the shape parameter of the operator is not set, then one sample will be drawn per distribution and the output array has the same shape as the input arrays. Examples:: mu = [ 0.0, 2.5 ] sigma = [ 1.0, 3.7 ] // Draw a single sample for each distribution sample_normal(mu, sigma) = [-0.56410581, 0.95934606] // Draw a vector containing two samples for each distribution sample_normal(mu, sigma, shape=(2)) = [[-0.56410581, 0.2928229 ], [ 0.95934606, 4.48287058]] Defined in src/operator/random/multisample_op.cc:L279 Parameters ---------- mu : Symbol Means of the distributions. shape : Shape(tuple), optional, default=[] Shape to be sampled from each random distribution. dtype : {'None', 'float16', 'float32', 'float64'},optional, default='None' DType of the output in case this can't be inferred. Defaults to float32 if not defined (dtype=None). sigma : Symbol Standard deviations of the distributions. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R\tsigmaRR?RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_sample_normals1cKsdS(sConcurrent sampling from multiple Poisson distributions with parameters lambda (rate). The parameters of the distributions are provided as an input array. Let *[s]* be the shape of the input array, *n* be the dimension of *[s]*, *[t]* be the shape specified as the parameter of the operator, and *m* be the dimension of *[t]*. Then the output will be a *(n+m)*-dimensional array with shape *[s]x[t]*. For any valid *n*-dimensional index *i* with respect to the input array, *output[i]* will be an *m*-dimensional array that holds randomly drawn samples from the distribution which is parameterized by the input value at index *i*. If the shape parameter of the operator is not set, then one sample will be drawn per distribution and the output array has the same shape as the input array. Samples will always be returned as a floating point data type. Examples:: lam = [ 1.0, 8.5 ] // Draw a single sample for each distribution sample_poisson(lam) = [ 0., 13.] // Draw a vector containing two samples for each distribution sample_poisson(lam, shape=(2)) = [[ 0., 4.], [ 13., 8.]] Defined in src/operator/random/multisample_op.cc:L286 Parameters ---------- lam : Symbol Lambda (rate) parameters of the distributions. shape : Shape(tuple), optional, default=[] Shape to be sampled from each random distribution. dtype : {'None', 'float16', 'float32', 'float64'},optional, default='None' DType of the output in case this can't be inferred. Defaults to float32 if not defined (dtype=None). name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RWRR?RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_sample_poissonCs0cKsdS(saConcurrent sampling from multiple uniform distributions on the intervals given by *[low,high)*. The parameters of the distributions are provided as input arrays. Let *[s]* be the shape of the input arrays, *n* be the dimension of *[s]*, *[t]* be the shape specified as the parameter of the operator, and *m* be the dimension of *[t]*. Then the output will be a *(n+m)*-dimensional array with shape *[s]x[t]*. For any valid *n*-dimensional index *i* with respect to the input arrays, *output[i]* will be an *m*-dimensional array that holds randomly drawn samples from the distribution which is parameterized by the input values at index *i*. If the shape parameter of the operator is not set, then one sample will be drawn per distribution and the output array has the same shape as the input arrays. Examples:: low = [ 0.0, 2.5 ] high = [ 1.0, 3.7 ] // Draw a single sample for each distribution sample_uniform(low, high) = [ 0.40451524, 3.18687344] // Draw a vector containing two samples for each distribution sample_uniform(low, high, shape=(2)) = [[ 0.40451524, 0.18017688], [ 3.18687344, 3.68352246]] Defined in src/operator/random/multisample_op.cc:L277 Parameters ---------- low : Symbol Lower bounds of the distributions. shape : Shape(tuple), optional, default=[] Shape to be sampled from each random distribution. dtype : {'None', 'float16', 'float32', 'float64'},optional, default='None' DType of the output in case this can't be inferred. Defaults to float32 if not defined (dtype=None). high : Symbol Upper bounds of the distributions. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RdReRR?RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_sample_uniformus1cKsdS(sJDraw random samples from an an approximately log-uniform or Zipfian distribution without replacement. This operation takes a 2-D shape `(batch_size, num_sampled)`, and randomly generates *num_sampled* samples from the range of integers [0, range_max) for each instance in the batch. The elements in each instance are drawn without replacement from the base distribution. The base distribution for this operator is an approximately log-uniform or Zipfian distribution: P(class) = (log(class + 2) - log(class + 1)) / log(range_max + 1) Additionaly, it also returns the number of trials used to obtain `num_sampled` samples for each instance in the batch. Example:: samples, trials = _sample_unique_zipfian(750000, shape=(4, 8192)) unique(samples[0]) = 8192 unique(samples[3]) = 8192 trials[0] = 16435 Defined in src/operator/random/unique_sample_op.cc:L66 Parameters ---------- range_max : int, required The number of possible classes. shape : Shape(tuple), optional, default=[] 2-D shape of the output, where shape[0] is the batch size, and shape[1] is the number of candidates to sample for each batch. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((t range_maxRRRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_sample_unique_zipfians*cKsdS(sIDivides arguments element-wise. If the left-hand-side input is 'row_sparse', then only the values which exist in the left-hand sparse array are computed. The 'missing' values are ignored. The storage type of ``_scatter_elemwise_div`` output depends on storage types of inputs - _scatter_elemwise_div(row_sparse, row_sparse) = row_sparse - _scatter_elemwise_div(row_sparse, dense) = row_sparse - _scatter_elemwise_div(row_sparse, csr) = row_sparse - otherwise, ``_scatter_elemwise_div`` behaves exactly like elemwise_div and generates output with default storage Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_scatter_elemwise_divscKsdS(sSubtracts a scalar to a tensor element-wise. If the left-hand-side input is 'row_sparse' or 'csr', then only the values which exist in the left-hand sparse array are computed. The 'missing' values are ignored. The storage type of ``_scatter_minus_scalar`` output depends on storage types of inputs - _scatter_minus_scalar(row_sparse, scalar) = row_sparse - _scatter_minus_scalar(csr, scalar) = csr - otherwise, ``_scatter_minus_scalar`` behaves exactly like _minus_scalar and generates output with default storage Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_scatter_minus_scalarscKsdS(sAdds a scalar to a tensor element-wise. If the left-hand-side input is 'row_sparse' or 'csr', then only the values which exist in the left-hand sparse array are computed. The 'missing' values are ignored. The storage type of ``_scatter_plus_scalar`` output depends on storage types of inputs - _scatter_plus_scalar(row_sparse, scalar) = row_sparse - _scatter_plus_scalar(csr, scalar) = csr - otherwise, ``_scatter_plus_scalar`` behaves exactly like _plus_scalar and generates output with default storage Parameters ---------- data : Symbol source input scalar : float scalar input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_scatter_plus_scalarscKsdS(sIThis operator has the same functionality as scatter_nd except that it does not reset the elements not indexed by the input index `NDArray` in the input data `NDArray`. output should be explicitly given and be the same as lhs. .. note:: This operator is for internal use only. Examples:: data = [2, 3, 0] indices = [[1, 1, 0], [0, 1, 0]] out = [[1, 1], [1, 1]] _scatter_set_nd(lhs=out, rhs=data, indices=indices, out=out) out = [[0, 1], [2, 3]] Parameters ---------- lhs : Symbol source input rhs : Symbol value to assign indices : Symbol indices shape : Shape(tuple), required Shape of output. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_scatter_set_nd2s%cKsdS(s Parameters ---------- src : real_t Source input to the function. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _set_valueYscKsdS(sRandomly shuffle the elements. This shuffles the array along the first axis. The order of the elements in each subarray does not change. For example, if a 2D array is given, the order of the rows randomly changes, but the order of the elements in each row does not change. Parameters ---------- data : Symbol Data to be shuffled. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_shuffleksc KsdS(sBAssign the rhs to a cropped subset of lhs. Requirements ------------ - output should be explicitly given and be the same as lhs. - lhs and rhs are of the same data type, and on the same device. From:src/operator/tensor/matrix_op.cc:440 Parameters ---------- lhs : Symbol Source input rhs : Symbol value to assign begin : Shape(tuple), required starting indices for the slice operation, supports negative indices. end : Shape(tuple), required ending indices for the slice operation, supports negative indices. step : Shape(tuple), optional, default=[] step for the slice operation, supports negative values. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i(( R R RRR;RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _slice_assigns c KsdS(s6(Assign the scalar to a cropped subset of the input. Requirements ------------ - output should be explicitly given and be the same as input ) From:src/operator/tensor/matrix_op.cc:465 Parameters ---------- data : Symbol Source input scalar : float, optional, default=0 The scalar value for assignment. begin : Shape(tuple), required starting indices for the slice operation, supports negative indices. end : Shape(tuple), required ending indices for the slice operation, supports negative indices. step : Shape(tuple), optional, default=[] step for the slice operation, supports negative values. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i(( RR RRR;RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_slice_assign_scalarscKsdS(shComputes the square sum of array elements over a given axis for row-sparse matrix. This is a temporary solution for fusing ops square and sum together for row-sparse matrix to save memory for storing gradients. It will become deprecated once the functionality of fusing operators is finished in the future. Example:: dns = mx.nd.array([[0, 0], [1, 2], [0, 0], [3, 4], [0, 0]]) rsp = dns.tostype('row_sparse') sum = mx.nd._internal._square_sum(rsp, axis=1) sum = [0, 5, 0, 25, 0] Defined in src/operator/tensor/square_sum.cc:L63 Parameters ---------- data : Symbol The input axis : Shape or None, optional, default=None The axis or axes along which to perform the reduction. The default, `axis=()`, will compute over all elements into a scalar array with shape `(1,)`. If `axis` is int, a reduction is performed on a particular axis. If `axis` is a tuple of ints, a reduction is performed on all the axes specified in the tuple. If `exclude` is true, reduction will be performed on the axes that are NOT in axis instead. Negative values means indexing from right to left. keepdims : boolean, optional, default=0 If this is set to `True`, the reduced axes are left in the result as dimension with size one. exclude : boolean, optional, default=0 Whether to perform reduction on axis that are NOT in axis instead. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RtaxistkeepdimstexcludeRRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _square_sums1cKsdS(sSubtracts arguments element-wise. The storage type of ``elemwise_sub`` output depends on storage types of inputs - elemwise_sub(row_sparse, row_sparse) = row_sparse - elemwise_sub(csr, csr) = csr - elemwise_sub(default, csr) = default - elemwise_sub(csr, default) = default - elemwise_sub(default, rsp) = default - elemwise_sub(rsp, default) = default - otherwise, ``elemwise_sub`` generates output with default storage Parameters ---------- lhs : Symbol first input rhs : Symbol second input name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((R R RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_subscKsdS(s{Converts an array of flat indices into a batch of index arrays. The operator follows numpy conventions so a single multi index is given by a column of the output matrix. Examples:: A = [22,41,37] unravel(A, shape=(7,6)) = [[3,6,6],[4,5,1]] Defined in src/operator/tensor/ravel.cc:L65 Parameters ---------- data : Symbol Array of flat indices shape : Shape(tuple), optional, default=[] Shape of the array into which the multi-indices apply. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RRRRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_unravel_indexscOsdS(s=Run a while loop over with user-defined condition and computation From:src/operator/control_flow.cc:1317 This function support variable length of positional input. Parameters ---------- cond : Symbol Input graph for the loop condition. func : Symbol Input graph for the loop body. data : Symbol[] The input arrays that include data arrays and states. num_outputs : int, required The number of outputs of the subgraph. num_out_data : int, required The number of outputs from the function body. max_iterations : int, required Maximum number of iterations. cond_input_locs : tuple of <>, required The locations of cond's inputs in the given inputs. func_input_locs : tuple of <>, required The locations of func's inputs in the given inputs. func_var_locs : tuple of <>, required The locations of loop_vars among func's inputs. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt _while_loop6s#cKsdS(sfill target with zeros Parameters ---------- shape : Shape(tuple), optional, default=[] The shape of the output ctx : string, optional, default='' Context of output, in format [cpu|gpu|cpu_pinned](n).Only used for imperative calls. dtype : {'float16', 'float32', 'float64', 'int32', 'int64', 'int8', 'uint8'},optional, default='float32' Target data type. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR>R?RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_zeros[scKsdS(sfill target with zeros without default dtype Parameters ---------- shape : Shape(tuple), optional, default=[] The shape of the output ctx : string, optional, default='' Context of output, in format [cpu|gpu|cpu_pinned](n).Only used for imperative calls. dtype : int, optional, default='-1' Target data type. name : string, optional. Name of the resulting symbol. Returns ------- Symbol The result symbol. i(i((RR>R?RRRR((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pyt_zeros_without_dtypeqsRRR R RRRRRRRRRRRRRRRRRRR R!R"R#R$R%R&R'R(R)R*R+R,R-R.R/R0R1R2R3R4R5R6R7R8R@RARBRCRDRERFRGRHRIRJRKRLRMRNRORPRQRRRSRTRURVRWRXRYRZR[R\R]R^R_R`RaRbRcRdReRfRgRhRiRjRkRlRmRnRoRpRqRrRsRtRuRvRwRxRyRzR{R|R}R~RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR#R$R%R&R'R(R)R*R.R/R0R1R:R;R<R=R>R?R@RARBRCRDRERFRGRHRIRJRKRLRMRNRORPRQRRRSRTRURVRXR[R]R_RbRcRfRgRhRiRjRkRlRmRnRoRqRrRtRuRvRxRyRzR{R|R}R~RRRRRRRRN(@t _internalRtbaseRRtNoneRR R RRRRRRRRRRRRRRRRRRR R!R"R#R$R%R&R'R(R)R*R+R,R-R.R/R0R1R2R3R4R5R6R7R8R@RARBRCRDRERFRGRHRIRJRKRLRMRNRORPRQRRRSRTRURVRWRXRYRZR[R\R]R^R_R`RaRbRcRdReRfRgRhRiRjRkRlRmRnRoRpRqRrRsRtRuRvRwRxRyRzR{R|R}R~RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR#R$R%R&R'R(R)R*R.R/R0R1R:R;R<R=R>R?R@RARBRCRDRERFRGRHRIRJRKRLRMRNRORPRQRRRSRTRURVRXR[R]R_RbRcRfRgRhRiRjRkRlRmRnRoRqRrRtRuRvRxRyRzR{R|R}R~RRRRRRRRt__all__(((sZ/usr/local/lib/python2.7/site-packages/mxnet-1.3.1-py2.7.egg/mxnet/symbol/gen__internal.pytsx      '-$5 #!"!!*!! !$*   "!$!'!&!&#!( 03545323, '!"!!3  %