forked from mindspore-Ecosystem/mindspore
!470 pynative support reducemean
Merge pull request !470 from JoyLvliang/pynative-support-reducemean
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a55d8a144d
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@ -21,6 +21,7 @@
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#include <utility>
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#include <string>
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#include <memory>
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#include <set>
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#include <unordered_map>
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#include <unordered_set>
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@ -59,7 +60,7 @@ struct OpExecInfo {
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using OpExecInfoPtr = std::shared_ptr<OpExecInfo>;
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OpExecInfoPtr GenerateOpExecInfo(const py::args& args);
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const std::unordered_set<std::string> ignore_infer_prim = {"partial"};
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const std::set<std::string> ignore_infer_prim = {"partial", "make_ref"};
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} // namespace pynative
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} // namespace mindspore
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@ -24,7 +24,7 @@ from ..._checkparam import Rel
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from ...common import dtype as mstype
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from ...common.tensor import Tensor
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from .._utils import _get_broadcast_shape
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from ..primitive import PrimitiveWithInfer, prim_attr_register
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from ..primitive import PrimitiveWithInfer, prim_attr_register, _run_op
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def _infer_shape_reduce(x, axis, keep_dims, prim_name):
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@ -225,6 +225,11 @@ class _Reduce(PrimitiveWithInfer):
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validator.check_value_type('keep_dims', keep_dims, [bool], self.name)
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self.init_prim_io_names(inputs=['input_x', 'axis'], outputs=['y'])
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def __call__(self, x, axis=()):
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args = [x, axis]
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output = _run_op(self, self.name, args)
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return output
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def do_infer(self, input_x, axis, valid_dtype=mstype.number_type):
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axis_v = axis['value']
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input_shp = input_x['shape']
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