| /dports/science/hdf5/hdf5-1.10.6/fortran/test/ |
| H A D | tH5T_F03.F90 | 1043 INTEGER(HSIZE_T), DIMENSION(1:1) :: data_dims = (/4/)
1071 CALL h5screate_simple_f(1, data_dims , dspace_id, error)
2311 INTEGER(HSIZE_T), DIMENSION(2) :: data_dims = (/sdim,dim0/) local
2341 CALL h5dwrite_vl_f(dset, filetype, wdata, data_dims, str_len, error, space)
2385 CALL h5dread_vl_f(dset, filetype, rdata, data_dims, str_len, error, space)
2806 INTEGER(hsize_t), DIMENSION(1:2) :: data_dims = (/0,0/) local
2839 data_dims(1) = line_length
2840 data_dims(2) = n
2851 … CALL h5dwrite_vl_f(dataset0, string_id, data_in(1:n), data_dims, line_lengths(1:n), error, space)
2856 … CALL h5dread_vl_f(dataset0, string_id, data_out(1:n), data_dims, line_lengths(1:n), error, space)
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| /dports/math/py-arviz/arviz-0.11.4/arviz/tests/external_tests/ |
| H A D | test_data_pymc.py | 245 data_dims = ("date", "city")
246 data = pm.Data("data", df_data, dims=data_dims)
247 _ = pm.Normal("likelihood", mu=city_temperature, sd=0.5, observed=data, dims=data_dims)
|
| /dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/mkldnn/tests/benchdnn/bnorm/ |
| H A D | bnorm.cpp | 422 dnnl_dim_t *data_dims = prb->ndims == 5 in init_pd() local
427 SAFE(init_md(&data_d, prb->ndims, data_dims, prb->dt, prb->tag), CRIT); in init_pd()
440 data_dims, prb->dt, dnnl_format_tag_any), in init_pd()
|
| /dports/math/onednn/oneDNN-2.5.1/tests/benchdnn/bnorm/ |
| H A D | bnorm.cpp | 422 dnnl_dim_t *data_dims = prb->ndims == 5 in init_pd() local
427 SAFE(init_md(&data_d, prb->ndims, data_dims, prb->dt, prb->tag), CRIT); in init_pd()
440 data_dims, prb->dt, dnnl_format_tag_any), in init_pd()
|
| /dports/math/vtk8/VTK-8.2.0/IO/Xdmf2/ |
| H A D | vtkXdmfHeavyData.cxx | 1167 XdmfInt64 data_dims[XDMF_MAX_DIMENSION]; in ReadAttribute() local
1168 int data_rank = xmfDataItem.GetDataDesc()->GetShape(data_dims); in ReadAttribute()
1199 count[data_dimensionality] = data_dims[data_dimensionality]; in ReadAttribute()
|
| /dports/math/vtk6/VTK-6.2.0/IO/Xdmf2/ |
| H A D | vtkXdmfHeavyData.cxx | 1081 XdmfInt64 data_dims[XDMF_MAX_DIMENSION]; in ReadAttribute() local
1082 int data_rank = xmfDataItem.GetDataDesc()->GetShape(data_dims); in ReadAttribute()
1113 count[data_dimensionality] = data_dims[data_dimensionality]; in ReadAttribute()
|
| /dports/devel/upp/upp/uppsrc/plugin/Eigen/unsupported/Eigen/CXX11/src/Tensor/ |
| H A D | TensorBlock.h | 763 const Scalar* data, const DataDimensions& data_dims,
783 if (data_dims[dim] != desc.dimensions()[dim]) break;
812 TensorBlockIOSrc src(internal::strides<Layout>(Dimensions(data_dims)),
|
| /dports/misc/openmvg/openMVG-2.0/src/third_party/eigen/unsupported/Eigen/CXX11/src/Tensor/ |
| H A D | TensorBlock.h | 763 const Scalar* data, const DataDimensions& data_dims,
783 if (data_dims[dim] != desc.dimensions()[dim]) break;
812 TensorBlockIOSrc src(internal::strides<Layout>(Dimensions(data_dims)),
|
| /dports/math/PDL/PDL-2.019/IO/Misc/ |
| H A D | misc.pd | 1217 my @data_dims;
1218 dsa_data_size('IMAGE',5, my $data_ndims, \@data_dims, my $data_elements,
1223 @data_dims = @data_dims[0..$data_ndims-1];
1224 print "Dims of $file = @data_dims\n" if $PDL::verbose;
1226 $pdl->setdims([@data_dims]);
|
| /dports/devel/py-xarray/xarray-0.20.1/xarray/tests/ |
| H A D | test_interp.py | 791 for data_dims in permutations(da.dims, data_ndim):
795 {dim: len(da.coords[dim]) // 2 for dim in da.dims if dim not in data_dims}
|
| /dports/lang/yorick/yorick-y_2_2_04/i/ |
| H A D | fits.i | 2092 data_dims = dimsof(data);
2094 data_ndims = data_dims(1);
2097 if (data_dims(i+1) != file_dims(i+1))
|