/dports/misc/mxnet/incubator-mxnet-1.9.0/benchmark/python/sparse/ |
H A D | sparse_op.py | 108 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]
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H A D | dot.py | 173 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…
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/benchmark/python/sparse/ |
H A D | sparse_op.py | 108 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]
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H A D | dot.py | 173 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…
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/src/operator/tensor/ |
H A D | elemwise_binary_op-inl.h | 420 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 …]
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H A D | elemwise_binary_op_basic.cu | 187 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()
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H A D | elemwise_binary_broadcast_op.h | 285 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()
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H A D | cast_storage-inl.h | 290 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()
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/dports/misc/mxnet/incubator-mxnet-1.9.0/src/operator/tensor/ |
H A D | elemwise_binary_op-inl.h | 420 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 …]
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H A D | elemwise_binary_op_basic.cu | 187 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()
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H A D | elemwise_binary_broadcast_op.h | 285 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()
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H A D | cast_storage-inl.h | 290 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()
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/dports/misc/mxnet/incubator-mxnet-1.9.0/perl-package/AI-MXNet/examples/sparse/wide_deep/ |
H A D | train.pl | 60 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),
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/perl-package/AI-MXNet/examples/sparse/wide_deep/ |
H A D | train.pl | 60 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),
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/dports/misc/mxnet/incubator-mxnet-1.9.0/example/sparse/wide_deep/ |
H A D | model.py | 24 csr_data = mx.symbol.Variable("csr_data", stype='csr') 32 dot = mx.symbol.sparse.dot(csr_data, weight)
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/sparse/wide_deep/ |
H A D | model.py | 24 csr_data = mx.symbol.Variable("csr_data", stype='csr') 32 dot = mx.symbol.sparse.dot(csr_data, weight)
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/dports/sysutils/boxbackup-devel/boxbackup-0.11_trunk_2979/contrib/bbadmin/ |
H A D | accounts.cgi | 198 my $csr_data = ""; 203 $csr_data .= $line; 223 my $req = Convert::X509::Request->new($csr_data);
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/dports/science/py-scipy/scipy-1.7.1/scipy/sparse/csgraph/ |
H A D | _shortest_path.pyx | 573 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, [all …]
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/dports/sysutils/ansible/ansible-4.7.0/ansible_collections/dellemc/openmanage/playbooks/ome/application/ |
H A D | ome_application_certificate.yml | 31 dest: "csr_data.txt"
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/src/operator/ |
H A D | regression_output-inl.h | 125 const DType* csr_data, in Map() 132 OP::Map(dns_data[row_i + csr_idx[j]], csr_data[j])); in Map()
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/dports/misc/mxnet/incubator-mxnet-1.9.0/src/operator/ |
H A D | regression_output-inl.h | 125 const DType* csr_data, in Map() 132 OP::Map(dns_data[row_i + csr_idx[j]], csr_data[j])); in Map()
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/src/ndarray/ |
H A D | ndarray_function.cu | 203 const TBlob& csr_data = nds[1].data(); in ElementwiseSumDnsCsrDnsImpl() 213 csr_data.dptr<DType>(), csr_indices.dptr<IType>(), in ElementwiseSumDnsCsrDnsImpl()
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H A D | ndarray_function.cc | 189 const TBlob& csr_data = nds[1].data(); in ElementwiseSumDnsCsrDnsImpl() 199 csr_data.dptr<DType>(), csr_indices.dptr<IType>(), in ElementwiseSumDnsCsrDnsImpl()
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/dports/misc/mxnet/incubator-mxnet-1.9.0/src/ndarray/ |
H A D | ndarray_function.cu | 203 const TBlob& csr_data = nds[1].data(); in ElementwiseSumDnsCsrDnsImpl() 213 csr_data.dptr<DType>(), csr_indices.dptr<IType>(), in ElementwiseSumDnsCsrDnsImpl()
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H A D | ndarray_function.cc | 189 const TBlob& csr_data = nds[1].data(); in ElementwiseSumDnsCsrDnsImpl() 199 csr_data.dptr<DType>(), csr_indices.dptr<IType>(), in ElementwiseSumDnsCsrDnsImpl()
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