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‎CPythonTensor.sln

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Microsoft Visual Studio Solution File, Format Version 12.00
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# Visual Studio Version 17
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VisualStudioVersion = 17.8.34316.72
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MinimumVisualStudioVersion = 10.0.40219.1
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Project("{8BC9CEB8-8B4A-11D0-8D11-00A0C91BC942}") = "CPythonTensor", "CPythonTensor\CPythonTensor.vcxproj", "{79ABB953-907D-469F-9723-42ED1915A4B0}"
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EndProject
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Project("{888888A0-9F3D-457C-B088-3A5042F75D52}") = "PythonTensorTesting", "PythonTensorTesting\PythonTensorTesting.pyproj", "{99206FE6-CF46-4140-93B2-3F659D2CA890}"
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Global
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Debug|Any CPU = Debug|Any CPU
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Debug|x64 = Debug|x64
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Debug|x86 = Debug|x86
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Release|Any CPU = Release|Any CPU
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Release|x64 = Release|x64
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Release|x86 = Release|x86
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{79ABB953-907D-469F-9723-42ED1915A4B0}.Debug|x86.ActiveCfg = Debug|Win32
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{79ABB953-907D-469F-9723-42ED1915A4B0}.Debug|x86.Build.0 = Debug|Win32
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{79ABB953-907D-469F-9723-42ED1915A4B0}.Release|Any CPU.ActiveCfg = Release|x64
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{79ABB953-907D-469F-9723-42ED1915A4B0}.Release|Any CPU.Build.0 = Release|x64
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{79ABB953-907D-469F-9723-42ED1915A4B0}.Release|x64.ActiveCfg = Release|x64
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{79ABB953-907D-469F-9723-42ED1915A4B0}.Release|x64.Build.0 = Release|x64
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{79ABB953-907D-469F-9723-42ED1915A4B0}.Release|x86.ActiveCfg = Release|Win32
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{79ABB953-907D-469F-9723-42ED1915A4B0}.Release|x86.Build.0 = Release|Win32
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{99206FE6-CF46-4140-93B2-3F659D2CA890}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
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{99206FE6-CF46-4140-93B2-3F659D2CA890}.Debug|x64.ActiveCfg = Debug|Any CPU
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{99206FE6-CF46-4140-93B2-3F659D2CA890}.Debug|x86.ActiveCfg = Debug|Any CPU
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{99206FE6-CF46-4140-93B2-3F659D2CA890}.Release|Any CPU.ActiveCfg = Release|Any CPU
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{99206FE6-CF46-4140-93B2-3F659D2CA890}.Release|x64.ActiveCfg = Release|Any CPU
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{99206FE6-CF46-4140-93B2-3F659D2CA890}.Release|x86.ActiveCfg = Release|Any CPU
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GlobalSection(ExtensibilityGlobals) = postSolution
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SolutionGuid = {F504DBBF-809B-49DA-9604-93EE9EB84AB4}
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‎CPythonTensor/CPythonTensor.vcxproj

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‎CPythonTensor/CPythonTensor.vcxproj.filters

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‎CPythonTensor/module.c

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#include "module.h"
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#include <Python.h>
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typedef struct
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{
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PyObject_HEAD
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void* t;
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} PyTensorObject;
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static PyObject* Tensor_new(PyTypeObject* type, PyObject* args, PyObject* kwds)
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{
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static char* kwlist[] = { "dtype", "shape", "data", NULL};
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PyObject *dtype, *shape;
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Py_ssize_t data_ptr;
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PyArg_ParseTupleAndKeywords(args, kwds, "|OOn", kwlist, &dtype, &shape, &data_ptr);
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unsigned int* ca = calloc(PyTuple_GET_SIZE(shape), sizeof(unsigned int));
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for (Py_ssize_t i = 0; i < PyTuple_GET_SIZE(shape); i++)
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ca[i] = _PyLong_AsInt(PyTuple_GET_ITEM(shape, i));
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PyTensorObject* self;
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self = type->tp_alloc(type, 0);
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if (self != NULL) {
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self->t = call_tensor(PyTuple_GET_SIZE(shape), ca, data_ptr);
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}
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free(ca);
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return self;
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}
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static void Tensor_dealloc(PyTensorObject* self)
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{
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delete_tensor(self->t);
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Py_TYPE(self)->tp_free(self);
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}
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static PyObject*
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Tensor_ToString(PyTensorObject* self)
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{
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return PyUnicode_FromString(to_string(self->t));
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}
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static PyMethodDef Tensor_methods[] = {
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{NULL} /* Sentinel */
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};
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static PyTypeObject TensorType =
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{
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.ob_base = PyVarObject_HEAD_INIT(NULL, 0)
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.tp_name = "tensor.Tensor",
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.tp_doc = PyDoc_STR("Custom objects"),
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.tp_basicsize = sizeof(PyTensorObject),
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.tp_itemsize = 0,
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.tp_flags = Py_TPFLAGS_DEFAULT,
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.tp_new = Tensor_new,
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.tp_dealloc = Tensor_dealloc,
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.tp_methods = Tensor_methods,
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.tp_str = Tensor_ToString,
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};
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static PyModuleDef tensor_module =
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{
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PyModuleDef_HEAD_INIT,
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"tensor",
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NULL,
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-1
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};
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PyMODINIT_FUNC
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PyInit_tensor()
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{
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PyObject* m;
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if (PyType_Ready(&TensorType) < 0)
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return NULL;
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m = PyModule_Create(&tensor_module);
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if (m == NULL)
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return NULL;
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Py_INCREF(&TensorType);
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if (PyModule_AddObject(m, "Tensor", &TensorType) < 0) {
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Py_DECREF(&TensorType);
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Py_DECREF(m);
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return NULL;
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}
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return m;
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}

‎CPythonTensor/module.h

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#pragma once
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#ifdef __cplusplus
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extern "C"
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{
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#endif // __cplusplus
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void* call_tensor(unsigned int nd, unsigned int* dimensions, const void* data);
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void delete_tensor(void* t);
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const char* to_string(void* t);
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#ifdef __cplusplus
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}
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#endif // __cplusplus

‎CPythonTensor/py_tensor.cpp

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#include "module.h"
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#include <sstream>
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#include <tensor.hh>
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using namespace tensor_array::value;
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void* call_tensor(unsigned int nd, unsigned int* dimensions, const void* data)
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{
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return new Tensor(TensorBase(typeid(int), std::initializer_list(dimensions, dimensions + nd), data, tensor_array::devices::DEVICE_CPU_0, tensor_array::devices::DEVICE_CPU_0));
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}
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void delete_tensor(void* t)
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{
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delete t;
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}
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const char* to_string(void* t)
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{
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Tensor* t1 = static_cast<Tensor*>(t);
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std::ostringstream steam;
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steam << *t1;
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return steam.str().c_str();
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}

‎PythonTensorTesting/PyTensorArray/__init__.py

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import numpy as np
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import tensor as t
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class Tensor:
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def __init__(self, arr: np.ndarray):
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self.temp_tensor = t.Tensor(dtype = arr.dtype, shape = arr.shape, data = arr.ctypes.data)
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‎PythonTensorTesting/PyTensorArray/tensor.py

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