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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/src/operator/contrib/
H A Difft-inl.h90 const mxnet::TShape& ishape = in_data[ifft::kData].shape_; in Forward() local
152 const mxnet::TShape& ishape = in_grad[ifft::kData].shape_; in Backward() local
H A Dfft-inl.h93 const mxnet::TShape& ishape = in_data[fft::kData].shape_; in Forward() local
155 const mxnet::TShape& ishape = in_grad[fft::kData].shape_; in Backward() local
H A Dbounding_box-inl.h102 mxnet::TShape& ishape = (*in_attrs)[0]; in BoxNMSShape() local
103 int indim = ishape.ndim(); in BoxNMSShape()
107 << ishape << " provided"; in BoxNMSShape()
108 int width_elem = ishape[indim - 1]; in BoxNMSShape()
141 mxnet::TShape oshape = ishape; in BoxNMSShape()
143 SHAPE_ASSIGN_CHECK(*out_attrs, 0, ishape); // out_shape[0] == in_shape in BoxNMSShape()
/dports/misc/mxnet/incubator-mxnet-1.9.0/src/operator/contrib/
H A Dfft-inl.h93 const mxnet::TShape& ishape = in_data[fft::kData].shape_; in Forward() local
155 const mxnet::TShape& ishape = in_grad[fft::kData].shape_; in Backward() local
H A Difft-inl.h90 const mxnet::TShape& ishape = in_data[ifft::kData].shape_; in Forward() local
152 const mxnet::TShape& ishape = in_grad[ifft::kData].shape_; in Backward() local
H A Dbounding_box-inl.h102 mxnet::TShape& ishape = (*in_attrs)[0]; in BoxNMSShape() local
103 int indim = ishape.ndim(); in BoxNMSShape()
107 << ishape << " provided"; in BoxNMSShape()
108 int width_elem = ishape[indim - 1]; in BoxNMSShape()
141 mxnet::TShape oshape = ishape; in BoxNMSShape()
143 SHAPE_ASSIGN_CHECK(*out_attrs, 0, ishape); // out_shape[0] == in_shape in BoxNMSShape()
/dports/math/R-cran-VGAM/VGAM/R/
H A Dfamily.aunivariate.R27 stopifnot(ishape > 0)
1261 if (length(ishape) &&
1262 !is.Numeric(ishape, positive = TRUE))
1361 misc$ishape <- .ishape
1364 .ishape = ishape ))),
4356 ishape = NULL, argument
4361 if (length(ishape) && !is.Numeric(ishape, positive = TRUE))
4695 if (length(ishape) && !is.Numeric(ishape, positive = TRUE))
4755 .ishape = ishape, .N = N ))),
4943 if (length(ishape) && !is.Numeric(ishape, positive = TRUE))
[all …]
H A Dfamily.censored.R730 imean = NULL, ishape = NULL, argument
761 if (length(ishape))
762 if (!is.Numeric(ishape, positive = TRUE))
864 .imeann = imeann, .ishape = ishape,
993 iscale = NULL, ishape = NULL, argument
1028 if (length(ishape))
1029 if (!is.Numeric(ishape, positive = TRUE))
1154 .iscale = iscale, .ishape = ishape,
H A Dfamily.extremes.R206 iscale = NULL, ishape = NULL, argument
251 if (length(ishape) && !is.Numeric(ishape))
412 .ilocat = ilocat, .ishape = ishape, .iscale = iscale,
695 ilocation = NULL, iscale = NULL, ishape = NULL, argument
738 if (length(ishape) && !is.Numeric(ishape))
899 .ilocat = ilocat, .iscale = iscale, .ishape = ishape,
1648 ishape = NULL, argument
1802 .iscale = iscale, .ishape = ishape,
2743 iscale = NULL, ishape = NULL, argument
2860 .iscale = iscale, .ishape = ishape,
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/src/operator/numpy/
H A Dnp_matrix_op.cc1509 const mxnet::TShape& ishape = (*in_attrs)[0]; in NumpyDiagIndicesFromShape() local
1510 if (!mxnet::shape_is_known(ishape)) return false; in NumpyDiagIndicesFromShape()
1511 CHECK_GE(ishape.ndim(), 2) << "ValueError: Input array should be at least 2d"; in NumpyDiagIndicesFromShape()
1513 int size = ishape[0]; in NumpyDiagIndicesFromShape()
1514 for (int i = 1; i < ishape.ndim(); i++) { in NumpyDiagIndicesFromShape()
1515 CHECK_EQ(ishape[i], size) << "ValueError: All dimensions of " in NumpyDiagIndicesFromShape()
1520 oshape[0] = ishape.ndim(); in NumpyDiagIndicesFromShape()
/dports/misc/mxnet/incubator-mxnet-1.9.0/src/operator/numpy/
H A Dnp_matrix_op.cc1509 const mxnet::TShape& ishape = (*in_attrs)[0]; in NumpyDiagIndicesFromShape() local
1510 if (!mxnet::shape_is_known(ishape)) return false; in NumpyDiagIndicesFromShape()
1511 CHECK_GE(ishape.ndim(), 2) << "ValueError: Input array should be at least 2d"; in NumpyDiagIndicesFromShape()
1513 int size = ishape[0]; in NumpyDiagIndicesFromShape()
1514 for (int i = 1; i < ishape.ndim(); i++) { in NumpyDiagIndicesFromShape()
1515 CHECK_EQ(ishape[i], size) << "ValueError: All dimensions of " in NumpyDiagIndicesFromShape()
1520 oshape[0] = ishape.ndim(); in NumpyDiagIndicesFromShape()
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/src/operator/
H A Dconvolution_v1-inl.h326 inline index_t InitTemp(const mshadow::Shape<4> &ishape, in InitTemp() argument
330 shape_colunit_ = mshadow::Shape2(ishape[1] * ksize_y * ksize_x, in InitTemp()
339 (shape_colunit_.Size() + shape_dstunit_.Size()), ishape[0]), in InitTemp()
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/src/operator/nn/
H A Ddeconvolution-inl.h458 inline index_t InitTemp(const mshadow::Shape<4> &ishape,
461 shape_colunit_ = mshadow::Shape2(ishape[1] * ksize,
469 (shape_colunit_.Size() + shape_dstunit_.Size()), ishape[0]),
/dports/misc/mxnet/incubator-mxnet-1.9.0/src/operator/nn/
H A Ddeconvolution-inl.h458 inline index_t InitTemp(const mshadow::Shape<4> &ishape,
461 shape_colunit_ = mshadow::Shape2(ishape[1] * ksize,
469 (shape_colunit_.Size() + shape_dstunit_.Size()), ishape[0]),
/dports/misc/mxnet/incubator-mxnet-1.9.0/src/operator/
H A Dconvolution_v1-inl.h326 inline index_t InitTemp(const mshadow::Shape<4> &ishape, in InitTemp() argument
330 shape_colunit_ = mshadow::Shape2(ishape[1] * ksize_y * ksize_x, in InitTemp()
339 (shape_colunit_.Size() + shape_dstunit_.Size()), ishape[0]), in InitTemp()
/dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/tests/python/frontend/pytorch/
H A Dtest_forward.py1541 inp = torch.rand(ishape)
1721 inp = torch.rand(ishape)
1731 for ishape in [(1, 8, 10, 5, 10), (1, 8, 5, 8, 8), (1, 8, 13, 7, 7)]:
1732 inp = torch.rand(ishape)
2420 for ishape, min, max in (([4, 8], 0.1, 0.9), ([7, 6], 0.2, 0.5)):
2421 input_data = torch.rand(ishape).float()
3302 ishape = (4, 5)
3303 input_x = torch.rand(ishape, dtype=torch.float32)
3304 input_y = torch.randint(low=0, high=100, size=ishape, dtype=torch.int32)
3325 input_infos = [("input0", (ishape, "float")), ("input1", (ishape, "int"))]
[all …]
/dports/science/lammps/lammps-stable_29Sep2021/src/ASPHERE/
H A Dpair_gayberne.cpp397 int ishape = 0; in init_one() local
400 shape1[i][1] != shape1[i][2]) ishape = 1; in init_one()
401 if (setwell[i] == 1) ishape = 1; in init_one()
408 if (ishape == 0 && jshape == 0) in init_one()
410 else if (ishape == 0) { in init_one()
H A Dpair_resquared.cpp349 int ishape = 0; in init_one() local
350 if (shape1[i][0] != 0.0 && shape1[i][1] != 0.0 && shape1[i][2] != 0.0) ishape = 1; in init_one()
354 if (ishape == 0 && jshape == 0) { in init_one()
357 } else if (ishape == 0) { in init_one()
372 if (ishape == 0 && jshape == 0) { in init_one()
/dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/python/tvm/relay/frontend/
H A Dpytorch.py2868 def get_relay_ty(ishape, itype, pt_type): argument
2870 if not (_is_int_seq(ishape) or len(ishape) == 0):
2873 if (pt_type.dim() is not None and pt_type.dim() != len(ishape)) or (
2875 and any([s1 != s2 for s1, s2 in zip(pt_type.sizes(), ishape)])
2883 return TensorType(ishape, dtype)
2885 if not isinstance(ishape, tuple):
2889 [get_relay_ty(elem, itype, pt_t) for elem, pt_t in zip(ishape, pt_type.elements())]
2892 if not isinstance(ishape, list):
2896 elem_tys = [get_relay_ty(s, itype, pt_elemtype) for s in ishape]
2903 return get_relay_ty(ishape, itype, pt_type.getElementType())
/dports/cad/calculix-ccx/CalculiX/ccx_2.18/src/
H A Drobustdesign.c89 nfield,iforce,*iponod2dto3d=NULL,*iponk2dto3d=NULL,ishape=0,ndesibou, in robustdesign() local
305 &icoordinate,&inorm,&irand,&ishape); in robustdesign()
H A Dfrd_sen.c35 ITG *irand,ITG *ishape){ in frd_sen() argument
135 }else if(*ishape==1){ in frd_sen()
/dports/math/R-cran-VGAM/VGAM/man/
H A DweibullR.Rd15 iscale = NULL, ishape = NULL, lss = TRUE, nrfs = 1,
28 \item{ishape, iscale}{
/dports/math/py-theano/Theano-1.0.5/theano/gpuarray/
H A Ddnn.py672 def get_out_shape(ishape, kshape, border_mode, subsample, dilation): argument
682 if not isinstance(ishape, (list, tuple)):
683 ishape = [ishape[i] for i in range(len(subsample) + 2)]
688 ishape,
966 ishape = [shape_i_op(i)(img) for i in range(img.ndim)]
968 …out_shp = get_conv_output_shape(ishape, kshape, desc_op.border_mode, desc_op.subsample, filter_dil…
3323 ishape = [shape_i_op(i)(img) for i in range(img.ndim)]
3325 out_shp = get_conv_output_shape(ishape,
3428 ishape = [shape_i_op(i)(img) for i in range(img.ndim)]
3430 out_shp = get_conv_output_shape(ishape,
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/src/c_api/
H A Dc_api_function.cc67 const mxnet::ShapeVector& ishape, in CreateState() argument
/dports/misc/mxnet/incubator-mxnet-1.9.0/src/c_api/
H A Dc_api_function.cc67 const mxnet::ShapeVector& ishape, in CreateState() argument

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