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/dports/misc/mxnet/incubator-mxnet-1.9.0/benchmark/python/sparse/
H A Dsparse_op.py108 csr_data = []
113 csr_data.append(data)
116 bag_of_data = [csr_data, dns_data]
161 csr_data = rand_ndarray(data_shape, 'csr', density)
162 dns_data = csr_data.tostype('default')
167 data = [dns_data, csr_data]
190 csr_data = rand_ndarray(data_shape, 'csr', density)
191 dns_data = csr_data.tostype('default')
196 data = [dns_data, csr_data]
H A Ddot.py173 csr_data = train_iter.getdata()
174 dns_data = csr_data.tostype('default')
175 …cost_sparse = measure_cost(num_repeat, False, False, mx.nd.sparse.dot, csr_data, weight, transpose…
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/benchmark/python/sparse/
H A Dsparse_op.py108 csr_data = []
113 csr_data.append(data)
116 bag_of_data = [csr_data, dns_data]
161 csr_data = rand_ndarray(data_shape, 'csr', density)
162 dns_data = csr_data.tostype('default')
167 data = [dns_data, csr_data]
190 csr_data = rand_ndarray(data_shape, 'csr', density)
191 dns_data = csr_data.tostype('default')
196 data = [dns_data, csr_data]
H A Ddot.py173 csr_data = train_iter.getdata()
174 dns_data = csr_data.tostype('default')
175 …cost_sparse = measure_cost(num_repeat, False, False, mx.nd.sparse.dot, csr_data, weight, transpose…
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/src/operator/tensor/
H A Delemwise_binary_op-inl.h420 const DType* csr_data, const IType* csr_indices, in Map()
426 OP::Map(dns_data[i * num_cols + csr_indices[j]], csr_data[j])); in Map()
448 const DType* csr_data, const IType* csr_indices, in Map()
456 OP::Map(dns_data[row_id * num_cols + csr_indices[j]], csr_data[j])); in Map()
483 TBlob csr_data = csr.data(); in DnsCsrDnsOp() local
486 MSHADOW_SGL_DBL_TYPE_SWITCH(csr_data.type_flag_, DType, { in DnsCsrDnsOp()
531 const DType* csr_data, const IType* csr_indices, in Map()
569 TBlob csr_data = csr.data(); in DnsCsrCsrOp() local
572 MSHADOW_SGL_DBL_TYPE_SWITCH(csr_data.type_flag_, DType, { in DnsCsrCsrOp()
579 csr_data.dptr<DType>(), csr_indices.dptr<IType>(), csr_indptr.dptr<CType>(), in DnsCsrCsrOp()
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H A Delemwise_binary_op_basic.cu187 TBlob csr_data = csr.data(); in DnsCsrDnsOp() local
190 MSHADOW_SGL_DBL_TYPE_SWITCH(csr_data.type_flag_, DType, { in DnsCsrDnsOp()
200 output.data().dptr<DType>(), csr_data.dptr<DType>(), csr_indices.dptr<IType>(), in DnsCsrDnsOp()
210 output.data().dptr<DType>(), csr_data.dptr<DType>(), csr_indices.dptr<IType>(), in DnsCsrDnsOp()
H A Delemwise_binary_broadcast_op.h285 MSHADOW_XINLINE static void Map(index_t row, const DType *csr_data, const CType *csr_indices, in Map()
290 KERNEL_ASSIGN(out[iter], req, OP::Map(csr_data[iter], in Map()
304 MSHADOW_XINLINE static void Map(index_t i, const DType *csr_data, const DType* scalar_ptr, in Map()
308 KERNEL_ASSIGN(out[i], req, OP::Map(csr_data[i], scale)); in Map()
316 MSHADOW_XINLINE static void Map(index_t row, const DType *csr_data, const CType *csr_indices, in Map()
325 reverse ? OP::Map(out[target], csr_data[iter]) : in Map()
326 OP::Map(csr_data[iter], out[target])); in Map()
539 const TBlob& csr_data = csr.data(); in BinaryBroadcastCsrDnsDnsImpl() local
568 s, num_rows, csr_data.dptr<DType>(), csr_indices.dptr<CType>(), in BinaryBroadcastCsrDnsDnsImpl()
572 s, num_rows, csr_data.dptr<DType>(), csr_indices.dptr<CType>(), in BinaryBroadcastCsrDnsDnsImpl()
H A Dcast_storage-inl.h290 const DType* csr_data, in Map()
294 dns_data[offset+col_idx[j]] = csr_data[j]; in Map()
323 const DType* csr_data = csr.data().dptr<DType>(); in CastStorageCsrDnsImpl()
326 dns_data, col_idx, indptr, csr_data, num_cols); in CastStorageCsrDnsImpl()
/dports/misc/mxnet/incubator-mxnet-1.9.0/src/operator/tensor/
H A Delemwise_binary_op-inl.h420 const DType* csr_data, const IType* csr_indices, in Map()
426 OP::Map(dns_data[i * num_cols + csr_indices[j]], csr_data[j])); in Map()
448 const DType* csr_data, const IType* csr_indices, in Map()
456 OP::Map(dns_data[row_id * num_cols + csr_indices[j]], csr_data[j])); in Map()
483 TBlob csr_data = csr.data(); in DnsCsrDnsOp() local
486 MSHADOW_SGL_DBL_TYPE_SWITCH(csr_data.type_flag_, DType, { in DnsCsrDnsOp()
531 const DType* csr_data, const IType* csr_indices, in Map()
569 TBlob csr_data = csr.data(); in DnsCsrCsrOp() local
572 MSHADOW_SGL_DBL_TYPE_SWITCH(csr_data.type_flag_, DType, { in DnsCsrCsrOp()
579 csr_data.dptr<DType>(), csr_indices.dptr<IType>(), csr_indptr.dptr<CType>(), in DnsCsrCsrOp()
[all …]
H A Delemwise_binary_op_basic.cu187 TBlob csr_data = csr.data(); in DnsCsrDnsOp() local
190 MSHADOW_SGL_DBL_TYPE_SWITCH(csr_data.type_flag_, DType, { in DnsCsrDnsOp()
200 output.data().dptr<DType>(), csr_data.dptr<DType>(), csr_indices.dptr<IType>(), in DnsCsrDnsOp()
210 output.data().dptr<DType>(), csr_data.dptr<DType>(), csr_indices.dptr<IType>(), in DnsCsrDnsOp()
H A Delemwise_binary_broadcast_op.h285 MSHADOW_XINLINE static void Map(index_t row, const DType *csr_data, const CType *csr_indices, in Map()
290 KERNEL_ASSIGN(out[iter], req, OP::Map(csr_data[iter], in Map()
304 MSHADOW_XINLINE static void Map(index_t i, const DType *csr_data, const DType* scalar_ptr, in Map()
308 KERNEL_ASSIGN(out[i], req, OP::Map(csr_data[i], scale)); in Map()
316 MSHADOW_XINLINE static void Map(index_t row, const DType *csr_data, const CType *csr_indices, in Map()
325 reverse ? OP::Map(out[target], csr_data[iter]) : in Map()
326 OP::Map(csr_data[iter], out[target])); in Map()
539 const TBlob& csr_data = csr.data(); in BinaryBroadcastCsrDnsDnsImpl() local
568 s, num_rows, csr_data.dptr<DType>(), csr_indices.dptr<CType>(), in BinaryBroadcastCsrDnsDnsImpl()
572 s, num_rows, csr_data.dptr<DType>(), csr_indices.dptr<CType>(), in BinaryBroadcastCsrDnsDnsImpl()
H A Dcast_storage-inl.h290 const DType* csr_data, in Map()
294 dns_data[offset+col_idx[j]] = csr_data[j]; in Map()
323 const DType* csr_data = csr.data().dptr<DType>(); in CastStorageCsrDnsImpl()
326 dns_data, col_idx, indptr, csr_data, num_cols); in CastStorageCsrDnsImpl()
/dports/misc/mxnet/incubator-mxnet-1.9.0/perl-package/AI-MXNet/examples/sparse/wide_deep/
H A Dtrain.pl60 my $csr_data = mx->symbol->Variable("csr_data", stype=>'csr');
68 my $dot = mx->symbol->sparse->dot($csr_data, $weight);
244 data => Hash::Ordered->new(csr_data => $train_csr, dns_data => $train_dns),
251 data => Hash::Ordered->new(csr_data => $val_csr, val_data => $val_dns),
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/perl-package/AI-MXNet/examples/sparse/wide_deep/
H A Dtrain.pl60 my $csr_data = mx->symbol->Variable("csr_data", stype=>'csr');
68 my $dot = mx->symbol->sparse->dot($csr_data, $weight);
244 data => Hash::Ordered->new(csr_data => $train_csr, dns_data => $train_dns),
251 data => Hash::Ordered->new(csr_data => $val_csr, val_data => $val_dns),
/dports/misc/mxnet/incubator-mxnet-1.9.0/example/sparse/wide_deep/
H A Dmodel.py24 csr_data = mx.symbol.Variable("csr_data", stype='csr')
32 dot = mx.symbol.sparse.dot(csr_data, weight)
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/sparse/wide_deep/
H A Dmodel.py24 csr_data = mx.symbol.Variable("csr_data", stype='csr')
32 dot = mx.symbol.sparse.dot(csr_data, weight)
/dports/sysutils/boxbackup-devel/boxbackup-0.11_trunk_2979/contrib/bbadmin/
H A Daccounts.cgi198 my $csr_data = "";
203 $csr_data .= $line;
223 my $req = Convert::X509::Request->new($csr_data);
/dports/science/py-scipy/scipy-1.7.1/scipy/sparse/csgraph/
H A D_shortest_path.pyx573 csr_data = np.ones(csgraph.data.shape)
575 csr_data = csgraph.data
580 csr_data, csgraph.indices,
591 csrT_data = csr_data
1043 csr_data = np.ones(csgraph.data.shape)
1045 csr_data = csgraph.data
1049 csr_data, csgraph.indices,
1287 csr_data = csgraph.data.copy()
1293 ret = _johnson_directed(csr_data, csgraph.indices,
1296 ret = _johnson_undirected(csr_data, csgraph.indices,
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/dports/sysutils/ansible/ansible-4.7.0/ansible_collections/dellemc/openmanage/playbooks/ome/application/
H A Dome_application_certificate.yml31 dest: "csr_data.txt"
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/src/operator/
H A Dregression_output-inl.h125 const DType* csr_data, in Map()
132 OP::Map(dns_data[row_i + csr_idx[j]], csr_data[j])); in Map()
/dports/misc/mxnet/incubator-mxnet-1.9.0/src/operator/
H A Dregression_output-inl.h125 const DType* csr_data, in Map()
132 OP::Map(dns_data[row_i + csr_idx[j]], csr_data[j])); in Map()
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/src/ndarray/
H A Dndarray_function.cu203 const TBlob& csr_data = nds[1].data(); in ElementwiseSumDnsCsrDnsImpl()
213 csr_data.dptr<DType>(), csr_indices.dptr<IType>(), in ElementwiseSumDnsCsrDnsImpl()
H A Dndarray_function.cc189 const TBlob& csr_data = nds[1].data(); in ElementwiseSumDnsCsrDnsImpl()
199 csr_data.dptr<DType>(), csr_indices.dptr<IType>(), in ElementwiseSumDnsCsrDnsImpl()
/dports/misc/mxnet/incubator-mxnet-1.9.0/src/ndarray/
H A Dndarray_function.cu203 const TBlob& csr_data = nds[1].data(); in ElementwiseSumDnsCsrDnsImpl()
213 csr_data.dptr<DType>(), csr_indices.dptr<IType>(), in ElementwiseSumDnsCsrDnsImpl()
H A Dndarray_function.cc189 const TBlob& csr_data = nds[1].data(); in ElementwiseSumDnsCsrDnsImpl()
199 csr_data.dptr<DType>(), csr_indices.dptr<IType>(), in ElementwiseSumDnsCsrDnsImpl()

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