| /dports/devel/hpx/hpx-1.2.1/hpx/parallel/segmented_algorithms/ |
| H A D | transform_reduce.hpp | 45 Reduce && red_op, Convert && conv_op, std::true_type) in segmented_transform_reduce() argument
77 std::true_type(), beg, end, red_op, conv_op) in segmented_transform_reduce()
116 Reduce && red_op, Convert && conv_op, std::false_type) in segmented_transform_reduce() argument
143 beg, end, red_op, conv_op) in segmented_transform_reduce()
156 beg, end, red_op, conv_op) in segmented_transform_reduce()
170 beg, end, red_op, conv_op) in segmented_transform_reduce()
183 beg, end, red_op, conv_op) in segmented_transform_reduce()
203 return red_op(val, curr.get()); in segmented_transform_reduce()
217 Reduce && red_op, Convert && conv_op, std::true_type) in transform_reduce_() argument
234 std::forward<T>(init), std::forward<Reduce>(red_op), in transform_reduce_()
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| H A D | reduce.hpp | 45 Reduce && red_op, std::true_type) in segmented_reduce() argument
64 overall_result = hpx::util::invoke(red_op, overall_result, in segmented_reduce()
66 std::true_type(), beg, end, red_op)); in segmented_reduce()
77 std::true_type(), beg, end, red_op) in segmented_reduce()
90 std::true_type(), beg, end, red_op) in segmented_reduce()
102 std::true_type(), beg, end, red_op) in segmented_reduce()
116 Reduce && red_op, std::false_type) in segmented_reduce() argument
143 beg, end, red_op) in segmented_reduce()
156 beg, end, red_op) in segmented_reduce()
170 beg, end, red_op) in segmented_reduce()
[all …]
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| /dports/devel/hpx/hpx-1.2.1/hpx/parallel/algorithms/ |
| H A D | transform_reduce.hpp | 121 T && init, Reduce && red_op, Convert && conv_op, std::false_type) in transform_reduce_() argument
141 std::forward<Reduce>(red_op), std::forward<Convert>(conv_op)); in transform_reduce_()
151 T && init, Reduce && red_op, Convert && conv_op, std::true_type);
266 T init, Reduce && red_op, Convert && conv_op) in transform_reduce() argument
282 std::forward<Reduce>(red_op), std::forward<Convert>(conv_op), in transform_reduce()
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| H A D | transform_reduce_binary.hpp | 428 FwdIter2 first2, T init, Reduce && red_op, Convert && conv_op) in transform_reduce() argument
457 std::forward<Reduce>(red_op), std::forward<Convert>(conv_op)); in transform_reduce()
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| /dports/math/py-theano/Theano-1.0.5/theano/gpuarray/c_code/ |
| H A D | dnn_redux.c | 111 switch (params->red_op) { in APPLY_SPECIFIC()
202 APPLY_SPECIFIC(red), params->red_op, in APPLY_SPECIFIC()
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| /dports/misc/py-mxnet/incubator-mxnet-1.9.0/src/operator/tensor/ |
| H A D | broadcast_reduce_op.h | 690 template <typename red_op, int req, int axis>
693 template <typename red_op, int req>
705 struct ReduceCsrKernel<red_op, req, 0> {
769 red_op::Reduce(sum[col], in_data[mid], residual[col]);
786 template <typename red_op, int req>
787 struct ReduceCsrKernel<red_op, req, 1> {
793 red_op::SetInitValue(sum, residual);
795 red_op::Reduce(sum, in_data[k], residual);
801 template <typename xpu, typename red_op, bool normalize = false>
857 Kernel<ReduceCsrKernel<red_op, req_type, 0>, xpu>::Launch(
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| /dports/misc/mxnet/incubator-mxnet-1.9.0/src/operator/tensor/ |
| H A D | broadcast_reduce_op.h | 690 template <typename red_op, int req, int axis>
693 template <typename red_op, int req>
705 struct ReduceCsrKernel<red_op, req, 0> {
769 red_op::Reduce(sum[col], in_data[mid], residual[col]);
786 template <typename red_op, int req>
787 struct ReduceCsrKernel<red_op, req, 1> {
793 red_op::SetInitValue(sum, residual);
795 red_op::Reduce(sum, in_data[k], residual);
801 template <typename xpu, typename red_op, bool normalize = false>
857 Kernel<ReduceCsrKernel<red_op, req_type, 0>, xpu>::Launch(
[all …]
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| /dports/math/py-theano/Theano-1.0.5/theano/gpuarray/ |
| H A D | dnn.py | 1703 params_type = ParamsType(red_op=cudnn.cudnnReduceTensorOp_t,
1708 def __init__(self, red_op, axis, acc_dtype, dtype, return_indices): argument
1710 assert cudnn.cudnnReduceTensorOp_t.has_alias(red_op)
1711 self.red_op = red_op
1727 if return_indices and (red_op != 'maximum' and red_op != 'minimum'):
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| /dports/math/py-theano/Theano-1.0.5/theano/gpuarray/tests/ |
| H A D | test_dnn.py | 1624 assert any(isinstance(node.op, dnn.GpuDnnReduction) and node.op.red_op == 'norm2'
1638 assert any(isinstance(node.op, dnn.GpuDnnReduction) and node.op.red_op == 'norm1'
1652 assert any(isinstance(node.op, dnn.GpuDnnReduction) and node.op.red_op == 'absmax'
1681 for fn, red_op in ((f1, 'add'), (f2, 'norm2'), (f3, 'norm1'), (f4, 'absmax')):
1682 assert any(isinstance(node.op, dnn.GpuDnnReduction) and node.op.red_op == red_op
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| /dports/math/octave/octave-6.4.0/etc/OLD-ChangeLogs/ |
| H A D | liboctave-ChangeLog | 4658 * boolNDArray.cc (boolNDArray::sum): Return NDArray, use do_mx-red_op.
|