/dports/misc/py-mxnet/incubator-mxnet-1.9.0/src/operator/contrib/ |
H A D | ifft-inl.h | 90 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
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H A D | fft-inl.h | 93 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
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H A D | bounding_box-inl.h | 102 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()
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/dports/misc/mxnet/incubator-mxnet-1.9.0/src/operator/contrib/ |
H A D | fft-inl.h | 93 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
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H A D | ifft-inl.h | 90 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
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H A D | bounding_box-inl.h | 102 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()
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/dports/math/R-cran-VGAM/VGAM/R/ |
H A D | family.aunivariate.R | 27 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 …]
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H A D | family.censored.R | 730 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,
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H A D | family.extremes.R | 206 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,
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/src/operator/numpy/ |
H A D | np_matrix_op.cc | 1509 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()
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/dports/misc/mxnet/incubator-mxnet-1.9.0/src/operator/numpy/ |
H A D | np_matrix_op.cc | 1509 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()
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/src/operator/ |
H A D | convolution_v1-inl.h | 326 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()
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/src/operator/nn/ |
H A D | deconvolution-inl.h | 458 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]),
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/dports/misc/mxnet/incubator-mxnet-1.9.0/src/operator/nn/ |
H A D | deconvolution-inl.h | 458 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]),
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/dports/misc/mxnet/incubator-mxnet-1.9.0/src/operator/ |
H A D | convolution_v1-inl.h | 326 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()
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/dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/tests/python/frontend/pytorch/ |
H A D | test_forward.py | 1541 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 …]
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/dports/science/lammps/lammps-stable_29Sep2021/src/ASPHERE/ |
H A D | pair_gayberne.cpp | 397 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()
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H A D | pair_resquared.cpp | 349 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()
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/dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/python/tvm/relay/frontend/ |
H A D | pytorch.py | 2868 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())
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/dports/cad/calculix-ccx/CalculiX/ccx_2.18/src/ |
H A D | robustdesign.c | 89 nfield,iforce,*iponod2dto3d=NULL,*iponk2dto3d=NULL,ishape=0,ndesibou, in robustdesign() local 305 &icoordinate,&inorm,&irand,&ishape); in robustdesign()
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H A D | frd_sen.c | 35 ITG *irand,ITG *ishape){ in frd_sen() argument 135 }else if(*ishape==1){ in frd_sen()
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/dports/math/R-cran-VGAM/VGAM/man/ |
H A D | weibullR.Rd | 15 iscale = NULL, ishape = NULL, lss = TRUE, nrfs = 1, 28 \item{ishape, iscale}{
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/dports/math/py-theano/Theano-1.0.5/theano/gpuarray/ |
H A D | dnn.py | 672 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,
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/src/c_api/ |
H A D | c_api_function.cc | 67 const mxnet::ShapeVector& ishape, in CreateState() argument
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/dports/misc/mxnet/incubator-mxnet-1.9.0/src/c_api/ |
H A D | c_api_function.cc | 67 const mxnet::ShapeVector& ishape, in CreateState() argument
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