| /dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/python/tvm/relay/op/ |
| H A D | reduce.py | 26 def argmax(data, axis=None, keepdims=False, exclude=False): argument
57 def argmin(data, axis=None, keepdims=False, exclude=False): argument
88 def sum(data, axis=None, keepdims=False, exclude=False): argument
119 def all(data, axis=None, keepdims=False, exclude=False): argument
171 def any(data, axis=None, keepdims=False, exclude=False): argument
223 def max(data, axis=None, keepdims=False, exclude=False): argument
254 def min(data, axis=None, keepdims=False, exclude=False): argument
286 def mean(data, axis=None, keepdims=False, exclude=False): argument
422 def mean_std(data, axis=None, keepdims=False, exclude=False): argument
457 def prod(data, axis=None, keepdims=False, exclude=False): argument
[all …]
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| /dports/misc/py-tvm/incubator-tvm-0.6.1/python/tvm/relay/op/ |
| H A D | reduce.py | 25 def argmax(data, axis=None, keepdims=False, exclude=False): argument
55 def argmin(data, axis=None, keepdims=False, exclude=False): argument
86 def sum(data, axis=None, keepdims=False, exclude=False): argument
117 def all(data, axis=None, keepdims=False, exclude=False): argument
169 def any(data, axis=None, keepdims=False, exclude=False): argument
221 def max(data, axis=None, keepdims=False, exclude=False): argument
252 def min(data, axis=None, keepdims=False, exclude=False): argument
284 def mean(data, axis=None, keepdims=False, exclude=False): argument
315 def variance(data, axis=None, keepdims=False, exclude=False): argument
347 def std(data, axis=None, keepdims=False, exclude=False): argument
[all …]
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| /dports/misc/tvm/incubator-tvm-0.6.1/python/tvm/relay/op/ |
| H A D | reduce.py | 25 def argmax(data, axis=None, keepdims=False, exclude=False): argument
55 def argmin(data, axis=None, keepdims=False, exclude=False): argument
86 def sum(data, axis=None, keepdims=False, exclude=False): argument
117 def all(data, axis=None, keepdims=False, exclude=False): argument
169 def any(data, axis=None, keepdims=False, exclude=False): argument
221 def max(data, axis=None, keepdims=False, exclude=False): argument
252 def min(data, axis=None, keepdims=False, exclude=False): argument
284 def mean(data, axis=None, keepdims=False, exclude=False): argument
315 def variance(data, axis=None, keepdims=False, exclude=False): argument
347 def std(data, axis=None, keepdims=False, exclude=False): argument
[all …]
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| /dports/misc/tvm/incubator-tvm-0.6.1/topi/python/topi/ |
| H A D | reduction.py | 43 def sum(data, axis=None, keepdims=False): argument
68 def all(data, axis=None, keepdims=False): argument
93 def any(data, axis=None, keepdims=False): argument
118 def max(data, axis=None, keepdims=False): argument
143 def min(data, axis=None, keepdims=False): argument
168 def argmax(data, axis=None, keepdims=False): argument
193 def argmin(data, axis=None, keepdims=False): argument
218 def prod(data, axis=None, keepdims=False): argument
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| /dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/python/tvm/topi/ |
| H A D | reduction.py | 45 def sum(data, axis=None, keepdims=False): argument
70 def all(data, axis=None, keepdims=False): argument
95 def any(data, axis=None, keepdims=False): argument
120 def max(data, axis=None, keepdims=False): argument
145 def min(data, axis=None, keepdims=False): argument
170 def argmax(data, axis=None, keepdims=False): argument
195 def argmin(data, axis=None, keepdims=False): argument
220 def prod(data, axis=None, keepdims=False): argument
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| /dports/misc/py-tvm/incubator-tvm-0.6.1/topi/python/topi/ |
| H A D | reduction.py | 43 def sum(data, axis=None, keepdims=False): argument
68 def all(data, axis=None, keepdims=False): argument
93 def any(data, axis=None, keepdims=False): argument
118 def max(data, axis=None, keepdims=False): argument
143 def min(data, axis=None, keepdims=False): argument
168 def argmax(data, axis=None, keepdims=False): argument
193 def argmin(data, axis=None, keepdims=False): argument
218 def prod(data, axis=None, keepdims=False): argument
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| /dports/math/py-numpy/numpy-1.20.3/numpy/lib/ |
| H A D | nanfunctions.py | 224 def _nanmin_dispatcher(a, axis=None, out=None, keepdims=None): argument
229 def nanmin(a, axis=None, out=None, keepdims=np._NoValue): argument
339 def _nanmax_dispatcher(a, axis=None, out=None, keepdims=None): argument
344 def nanmax(a, axis=None, out=None, keepdims=np._NoValue): argument
558 def nansum(a, axis=None, dtype=None, out=None, keepdims=np._NoValue): argument
656 def nanprod(a, axis=None, dtype=None, out=None, keepdims=np._NoValue): argument
1018 a, axis=None, out=None, overwrite_input=None, keepdims=None): argument
1122 interpolation=None, keepdims=None): argument
1128 interpolation='linear', keepdims=np._NoValue): argument
1248 interpolation=None, keepdims=None): argument
[all …]
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| /dports/math/py-numpy/numpy-1.20.3/numpy/core/ |
| H A D | _methods.py | 37 def _amax(a, axis=None, out=None, keepdims=False, argument
41 def _amin(a, axis=None, out=None, keepdims=False, argument
45 def _sum(a, axis=None, dtype=None, out=None, keepdims=False, argument
49 def _prod(a, axis=None, dtype=None, out=None, keepdims=False, argument
53 def _any(a, axis=None, dtype=None, out=None, keepdims=False, *, where=True): argument
59 def _all(a, axis=None, dtype=None, out=None, keepdims=False, *, where=True): argument
65 def _count_reduce_items(arr, axis, keepdims=False, where=True): argument
161 def _mean(a, axis=None, dtype=None, out=None, keepdims=False, *, where=True): argument
194 def _var(a, axis=None, dtype=None, out=None, ddof=0, keepdims=False, *, argument
259 def _std(a, axis=None, dtype=None, out=None, ddof=0, keepdims=False, *, argument
[all …]
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| /dports/misc/mxnet/incubator-mxnet-1.9.0/python/mxnet/ |
| H A D | _numpy_op_doc.py | 23 def _np_all(a, axis=None, keepdims=False, out=None): argument
70 def _np_any(a, axis=None, keepdims=False, out=None): argument
124 def _np_sometrue(a, axis=None, keepdims=False, out=None): argument
386 def _np_sum(a, axis=None, dtype=None, keepdims=False, initial=None, out=None): argument
854 def _np_max(a, axis=None, keepdims=False, out=None): argument
918 def _np_amax(a, axis=None, keepdims=False, out=None): argument
982 def _np_min(a, axis=None, keepdims=False, out=None): argument
1043 def _np_amin(a, axis=None, keepdims=False, out=None): argument
1104 def _np_prod(a, axis=None, dtype=None, out=None, keepdims=False): argument
1187 def _np_product(a, axis=None, dtype=None, out=None, keepdims=False): argument
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| /dports/misc/py-mxnet/incubator-mxnet-1.9.0/python/mxnet/ |
| H A D | _numpy_op_doc.py | 23 def _np_all(a, axis=None, keepdims=False, out=None): argument
70 def _np_any(a, axis=None, keepdims=False, out=None): argument
124 def _np_sometrue(a, axis=None, keepdims=False, out=None): argument
386 def _np_sum(a, axis=None, dtype=None, keepdims=False, initial=None, out=None): argument
854 def _np_max(a, axis=None, keepdims=False, out=None): argument
918 def _np_amax(a, axis=None, keepdims=False, out=None): argument
982 def _np_min(a, axis=None, keepdims=False, out=None): argument
1043 def _np_amin(a, axis=None, keepdims=False, out=None): argument
1104 def _np_prod(a, axis=None, dtype=None, out=None, keepdims=False): argument
1187 def _np_product(a, axis=None, dtype=None, out=None, keepdims=False): argument
|
| /dports/misc/tvm/incubator-tvm-0.6.1/topi/tests/python/ |
| H A D | test_topi_reduce.py | 25 def _my_npy_argmax(arr, axis, keepdims): argument
37 def _my_npy_argmin(arr, axis, keepdims): argument
46 def verify_reduce_map_ele(in_shape, axis, keepdims, type="sum", dtype="float32"): argument
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| /dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/tests/python/relay/ |
| H A D | test_op_grad_level4.py | 22 def verify_reduction_grad(red_fn, d_shape, axis=None, keepdims=False, exclude=False): argument
29 def _unbiased_variance(x, axis=None, keepdims=False, exclude=False): argument
39 def verify_max_grad(d_shape, axis=None, keepdims=False, exclude=False): argument
|
| H A D | test_op_level4.py | 186 def verify_reduce(funcs, data, axis, keepdims, exclude, output, dtype="float32"): argument
237 def _wrapper(data, axis=None, keepdims=False): argument
251 def _np_log_sum_exp(x, axis, keepdims=False): argument
260 def _unbiased_func(x, axis=None, keepdims=False, exclude=False): argument
266 def _unbiased_func(a, axis=None, dtype=None, keepdims=None): argument
307 def verify_mean_var_std(funcs, shape, axis, keepdims): argument
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| /dports/misc/py-tvm/incubator-tvm-0.6.1/topi/tests/python/ |
| H A D | test_topi_reduce.py | 25 def _my_npy_argmax(arr, axis, keepdims): argument
37 def _my_npy_argmin(arr, axis, keepdims): argument
46 def verify_reduce_map_ele(in_shape, axis, keepdims, type="sum", dtype="float32"): argument
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| /dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/tests/python/topi/python/ |
| H A D | test_topi_reduce.py | 27 def _my_npy_argmax(arr, axis, keepdims): argument
39 def _my_npy_argmin(arr, axis, keepdims): argument
48 def verify_reduce_map_ele(in_shape, axis, keepdims, type="sum", dtype="float32"): argument
|
| /dports/science/py-chainer/chainer-7.8.0/chainer/functions/math/ |
| H A D | prod.py | 13 keepdims = False variable in Prod
15 def __init__(self, axis=None, keepdims=False): argument
94 def prod(x, axis=None, keepdims=False): argument
|
| H A D | average.py | 15 def __init__(self, axis, keepdims): argument
78 def _mean(x, axis, keepdims=False): argument
83 def average(x, axis=None, weights=None, keepdims=False): argument
|
| H A D | sum.py | 15 keepdims = False variable in Sum
17 def __init__(self, axis=None, keepdims=False): argument
73 def sum(x, axis=None, keepdims=False): argument
|
| /dports/devel/py-dask/dask-2021.11.2/dask/array/ |
| H A D | reductions.py | 46 keepdims=False, argument
204 keepdims, argument
372 def min(a, axis=None, keepdims=False, split_every=None, out=None): argument
387 def max(a, axis=None, keepdims=False, split_every=None, out=None): argument
401 def any(a, axis=None, keepdims=False, split_every=None, out=None): argument
415 def all(a, axis=None, keepdims=False, split_every=None, out=None): argument
517 def nanmin(a, axis=None, keepdims=False, split_every=None, out=None): argument
531 def nanmax(a, axis=None, keepdims=False, split_every=None, out=None): argument
926 def _arg_combine(data, axis, argfunc, keepdims=False): argument
1601 def median(a, axis=None, keepdims=False, out=None): argument
[all …]
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| /dports/devel/py-pythran/pythran-0.11.0/pythran/pythonic/numpy/ |
| H A D | mean.hpp | 18 types::false_immediate keepdims) in mean()
28 types::false_immediate keepdims) -> decltype(sum(expr, axis, d)) in mean()
46 types::true_immediate keepdims) in mean()
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| /dports/misc/tvm/incubator-tvm-0.6.1/tests/python/relay/ |
| H A D | test_op_grad_level4.py | 22 def verify_sum_grad(d_shape, axis=None, keepdims=False, exclude=False): argument
35 def verify_max_grad(d_shape, axis=None, keepdims=False, exclude=False): argument
|
| H A D | test_op_level4.py | 145 def verify_reduce(funcs, data, axis, keepdims, exclude, output, dtype="float32"): argument
188 def _wrapper(data, axis=None, keepdims=False): argument
232 def verify_mean_var_std(funcs, shape, axis, keepdims): argument
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| /dports/misc/py-tvm/incubator-tvm-0.6.1/tests/python/relay/ |
| H A D | test_op_grad_level4.py | 22 def verify_sum_grad(d_shape, axis=None, keepdims=False, exclude=False): argument
35 def verify_max_grad(d_shape, axis=None, keepdims=False, exclude=False): argument
|
| /dports/science/py-chainer/chainer-7.8.0/chainerx_cc/chainerx/routines/ |
| H A D | statistics.cc | 21 Array AMax(const Array& a, const OptionalAxes& axis, bool keepdims) { in AMax()
66 Array AMin(const Array& a, const OptionalAxes& axis, bool keepdims) { in AMin()
113 Array Mean(const Array& a, const OptionalAxes& axis, bool keepdims) { in Mean()
147 Array Var(const Array& a, const OptionalAxes& axis, bool keepdims) { in Var()
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| /dports/misc/mxnet/incubator-mxnet-1.9.0/3rdparty/tvm/include/tvm/relay/attrs/ |
| H A D | reduce.h | 37 bool keepdims; member
66 bool keepdims; member
|