Support numpy bridge (enabled by default in dygraph mode) #20983
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…le#20983) * add numpy bridge * fix template compile * add unittest, add default test=develop * fix unittest test=develop * fix unittest test=develop * zero_copy=True for to_variable, test=develop * bug fix test=develop * disable deprecated NumPy API test=develop * use better design of NumpyAllocator test=develop * fix Py_None check test=develop * reset c++ tracer when jump out dygraph guard test=develop * refine PADDLE_ENFORCE_xx format test=develop * bug fix of tracer switch test=develop * update decref test=develop
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…le#20983) * add numpy bridge * fix template compile * add unittest, add default test=develop * fix unittest test=develop * fix unittest test=develop * zero_copy=True for to_variable, test=develop * bug fix test=develop * disable deprecated NumPy API test=develop * use better design of NumpyAllocator test=develop * fix Py_None check test=develop * reset c++ tracer when jump out dygraph guard test=develop * refine PADDLE_ENFORCE_xx format test=develop * bug fix of tracer switch test=develop * update decref test=develop
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NumPy Bridge is used for zero-copy creation of a Tensor with a NumPy array.
zero_copyis enabled by default when place is aCPUPlaceand is in dygraph mode.The created Tensor and NumPy array will share their underlying memory locations (only when working with
CPUPlace), and change the numpy array will also change the corresponding Tensor.Example: