Change the invoking method of settiem from numpy to set_value op when value isn't tensor #35701
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Thanks for your contribution! |
chenwhql
reviewed
Sep 15, 2021
paddle/fluid/pybind/imperative.cc
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| // cast numpy type form S to T, this may allocate new memory | ||
| template <class T, class S> | ||
| static py::array_t<T> cast_numpy_type(py::array_t<S> array) { |
paddle/fluid/pybind/imperative.cc
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| } | ||
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| template <class T> | ||
| static py::array_t<T> cast_numpy_array(const py::object &array) { |
paddle/fluid/pybind/imperative.cc
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| "Currently, VarBase.__getitem__() only allows None or integers in " | ||
| "slice item, but received %s.", | ||
| "Currently, slice indices only allows None, integers, and " | ||
| "int of tensor or numpy in slice item, but received %s.", |
paddle/fluid/pybind/imperative.cc
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| "Currently, VarBase.__getitem__() only allows None or integers in " | ||
| "slice item, but received %s.", | ||
| "Currently, slice indices only allows None, integers, and " | ||
| "int of tensor or numpy in slice item, but received %s.", |
| @@ -408,13 +500,36 @@ static int _PySlice_GetIndices(PySliceObject *r, Py_ssize_t length, | |||
| } else { | |||
| if (PyCheckInteger(r->stop) || IsNumpyType(r->stop)) { | |||
| *stop = PyLong_AsLong(r->stop); | |||
| } else if (PyCheckTensor(r->stop)) { | |||
paddle/fluid/pybind/imperative.cc
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| @@ -554,7 +669,7 @@ static void ParseIndexingSlice( | |||
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| } else { | |||
| PADDLE_THROW(platform::errors::InvalidArgument( | |||
| "Currently, VarBase.__getitem__() only allows indexing " | |||
| "Currently, VarBase.__indices__() only allows indexing " | |||
AnnaTrainingG
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to AnnaTrainingG/Paddle
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Sep 29, 2021
… value isn't tensor (PaddlePaddle#35701) * Change the invoking method of settiem from numpy to set_value op when value is not tensor * fix the check logic for inplace in setitem * fix the unittest problem caused by setitem doesn't support fp16 * modify some code format in setitem
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Change the invoking method of settiem from numpy to set_value op when value isn't tensor
当执行如下代码时：( 右边的值为非tensor)
修改前的setitem由numpy完成底层逻辑处理
修改后的setitem由set_value op完成底层逻辑处理