| /external/ComputeLibrary/src/dynamic_fusion/sketch/gpu/template_writer/cl/ |
| D | ClTemplateLogits1DNorm.cpp | 42 _sum{},
47 _sum = this->tensors().get_const_tensor(TensorType::ACL_SRC_1);
50 ARM_COMPUTE_ERROR_ON_NULLPTR(_sum);
111 _sum, in declare_variables()
130 lut["sum"] = vtable.get_variable(_sum); in get_tag_lut()
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| D | ClTemplateLogits1DMaxShiftExpSum.cpp | 46 _sum{},
51 _sum = this->tensors().get_const_tensor(TensorType::ACL_DST_0);
54 ARM_COMPUTE_ERROR_ON_NULLPTR(_sum);
202 _sum, in declare_variables()
221 lut["sum"] = vtable.get_variable(_sum); in get_tag_lut()
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| D | ClTemplateLogits1DMaxShiftExpSum.h | 97 const ITensorInfo *_sum; // exponentiated and summed input variable
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| D | ClTemplateLogits1DNorm.h | 97 const ITensorInfo *_sum; // exponentiated and summed input variable
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| /external/grpc-grpc/src/python/grpcio_tests/tests/qps/ |
| D | histogram.py | 31 self._sum = 0
41 self._sum = 0
50 self._sum += val
63 data.sum = self._sum
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| /external/ComputeLibrary/src/core/CL/kernels/ |
| D | CLL2NormalizeLayerKernel.cpp | 75 : _input(nullptr), _sum(nullptr), _output(nullptr), _actual_axis(0), _epsilon(1e-12) in CLL2NormalizeLayerKernel()
92 _sum = sum; in configure()
172 add_2D_tensor_argument(idx, _sum, sum_slice); in run()
188 add_2D_tensor_argument(idx, _sum, sum_slice); in run()
204 add_3D_tensor_argument(idx, _sum, sum_slice); in run()
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| D | CLL2NormalizeLayerKernel.h | 94 const ICLTensor *_sum; variable
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| /external/ComputeLibrary/src/core/NEON/kernels/ |
| D | NEL2NormalizeLayerKernel.cpp | 150 : _input(nullptr), _sum(nullptr), _output(nullptr), _actual_axis(0), _epsilon(1e-12) in NEL2NormalizeLayerKernel()
160 _sum = sum; in configure()
195 uk->ukernel(_input, _sum, _output, _epsilon, window, _actual_axis); in run()
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| D | NEL2NormalizeLayerKernel.h | 84 const ITensor *_sum; variable
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| /external/ImageMagick/Magick++/lib/ |
| D | Statistic.cpp | 290 _sum(0.0), in ChannelStatistics()
310 _sum(channelStatistics_._sum), in ChannelStatistics()
379 return(_sum); in sum()
414 _sum(channelStatistics_->sum), in ChannelStatistics()
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| /external/python/cpython3/Lib/ |
| D | statistics.py | 150 def _sum(data): function
329 T, total, count = _sum(data)
425 _, sum_weights, _ = _sum(w for w in _fail_neg(weights, errmsg))
428 T, total, count = _sum(w / x if w else 0 for w, x in zip(weights, data))
706 T, total, count = _sum((x-c)**2 for x in data)
708 T, total, count = _sum(data)
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| /external/deqp/framework/delibs/depool/ |
| D | dePoolMultiSet.h | 196 deBool TYPENAME##_sum (DE_PTR_TYPE(TYPENAME) to, const TYPENAME* a, const TYPENAME* b); \
249 deBool TYPENAME##_sum (DE_PTR_TYPE(TYPENAME) to, const TYPENAME* a, const TYPENAME* b) \
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| /external/ImageMagick/Magick++/lib/Magick++/ |
| D | Statistic.h | 211 double _sum; variable
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| /external/python/cpython3/Lib/test/ |
| D | test_statistics.py | 1233 T, value, n = statistics._sum(*args)
1244 self.func = statistics._sum
1299 self.assertEqual(statistics._sum([1, 1e100, 1, -1e100]*10000),
1301 self.assertEqual(statistics._sum([1e100, 1, 1, -1e100]*10000),
1303 T, num, count = statistics._sum([1e-100, 1, 1e-100, -1]*10000)
1315 result = statistics._sum([1, nan, 2])[1]
1328 result = statistics._sum([1, 2, inf, 3])[1]
1331 result = statistics._sum([1, 2, inf, 3, inf, 4])[1]
1347 result = statistics._sum([1, 2, inf, 3, -inf, 4])[1]
1355 self.assertTrue(math.isnan(statistics._sum(data)[1]))
[all …]
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| /external/tensorflow/tensorflow/python/distribute/ |
| D | input_lib_test.py | 1298 def _sum(value): function
1304 per_replica_sums = distribution.run(_sum, args=(per_replica_values,))
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| /external/tensorflow/tensorflow/python/ops/ |
| D | array_ops.py | 6874 repeated_dim_size = gen_math_ops._sum(
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| D | math_ops.py | 2324 gen_math_ops._sum(input_tensor, dims, keepdims, name=name))
|