temp release

Author: BigNoobWasTaken

.devcontainer/Dockerfile

@@ -0,0 +1,8 @@
+FROM ghcr.io/tensor-array/tensor-array:master
+
+# [Optional] Uncomment this section to install additional vcpkg ports.
+# RUN su vscode -c "${VCPKG_ROOT}/vcpkg install <your-port-name-here>"
+
+# [Optional] Uncomment this section to install additional packages.
+# RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \
+#     && apt-get -y install --no-install-recommends <your-package-list-here>

.devcontainer/devcontainer.json

@@ -0,0 +1,40 @@
+// For format details, see https://aka.ms/devcontainer.json. For config options, see the
+// README at: https://github.com/devcontainers/templates/tree/main/src/cpp
+{
+	"name": "C++",
+	"build": {
+		"dockerfile": "Dockerfile"
+	},
+
+	"features": {
+		"ghcr.io/devcontainers/features/github-cli:1": {},
+		"ghcr.io/devcontainers/features/python:1": {}
+	},
+
+	"customizations": {
+		"vscode": {
+			"extensions": [
+				"ms-vscode.cpptools-extension-pack",
+				"ms-vscode.cmake-tools"
+			]
+		}
+	},
+
+	"hostRequirements": {
+		"gpu": "optional"
+	}
+	// Features to add to the dev container. More info: https://containers.dev/features.
+	// "features": {},
+
+	// Use 'forwardPorts' to make a list of ports inside the container available locally.
+	// "forwardPorts": [],
+
+	// Use 'postCreateCommand' to run commands after the container is created.
+	// "postCreateCommand": "gcc -v",
+
+	// Configure tool-specific properties.
+	// "customizations": {},
+
+	// Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root.
+	// "remoteUser": "root"
+}

.gitignore

@@ -3,6 +3,7 @@ build/
 bin/
 temp/
 __pycache__/
+*.egg-info/*
 */*.egg-info/*
 dist/
 *.so

.vscode/c_cpp_properties.json

@@ -5,7 +5,7 @@
             "includePath": [
                 "${workspaceFolder}/**",
                 "${workspaceFolder}/third_party/pybind11/include/**",
-                "/usr/include/python3.10/**",
+                "/usr/include/python3.*/**",
                 "${workspaceFolder}/tensor-array-repo/Tensor-Array/src/**"
             ],
             "defines": [],

MANIFEST.in

@@ -0,0 +1,6 @@
+include README.md LICENSE tensor-array-repo/Tensor-Array/LICENSE third_party/pybind11/LICENSE
+graft third_party/pybind11/include
+graft third_party/pybind11/tools
+graft tensor-array-repo/Tensor-Array/src
+graft src
+global-include CMakeLists.txt *.cmake Config.cmake.in

pyproject.toml

@@ -1,7 +1,6 @@
 [build-system]
 requires = [
   "setuptools",
-  "wheel",
   "ninja",
   "cmake"
 ]

setup.py

@@ -127,13 +127,13 @@ def main():
     with open(os.path.join(cwd, "README.md"), encoding="utf-8") as f:
         long_description = f.read()
 
-    packages = find_packages("src")
+    packages = find_packages("")
 
     print(packages)
 
     setup(
         name = "TensorArray",
-        version = "0.0.1a3",
+        version = "0.0.3",
         description = "A machine learning package",
         long_description=long_description,
         authors = "TensorArray-Creators",

src/tensor_array/_core/tensor_bind.cc

@@ -7,6 +7,7 @@
 
 using namespace tensor_array::value;
 using namespace tensor_array::datatype;
+using namespace tensor_array::wrapper;
 
 template <typename T>
 TensorBase convert_numpy_to_tensor_base(pybind11::array_t<T> py_buf)
@@ -93,7 +94,7 @@ Tensor python_tuple_slice(const Tensor& self, pybind11::tuple tuple_slice)
 			}
 		);
 	}
-	return self[tensor_array::wrapper::initializer_wrapper(t_slices.begin().operator->(), t_slices.end().operator->())];
+	return self[initializer_wrapper<Tensor::Slice>(t_slices.begin().operator->(), t_slices.end().operator->())];
 }
 
 Tensor python_slice(const Tensor& self, pybind11::slice py_slice)
@@ -139,7 +140,7 @@ Tensor tensor_cast_1(const Tensor& self, DataType dtype)
 
 pybind11::tuple tensor_shape(const Tensor& self)
 {
-	return pybind11::cast(std::vector(self.get_buffer().shape()));
+	return pybind11::cast(std::vector<unsigned int>(self.get_buffer().shape()));
 }
 
 DataType tensor_type(const Tensor& self)

src/tensor_array/core/constants.py

@@ -1,4 +1,4 @@
-from tensor_array.core.tensor2 import zeros as zerosWrapper
+from .tensor2 import zeros as zerosWrapper
 from .tensor import Tensor
 from .datatypes import DataTypes
 

src/tensor_array/core/datatypes.py

@@ -1,4 +1,4 @@
-from tensor_array.core.tensor2 import DataType as DataTypeWrapper
+from .tensor2 import DataType as DataTypeWrapper
 from enum import Enum
 
 class DataTypes(Enum):

src/tensor_array/core/operator.py

@@ -1,9 +1,9 @@
 from .tensor import Tensor
-from tensor_array.core.tensor2 import add as addWrapper
-from tensor_array.core.tensor2 import multiply as multiplyWrapper
-from tensor_array.core.tensor2 import divide as divideWrapper
-from tensor_array.core.tensor2 import matmul as matmulWrapper
-from tensor_array.core.tensor2 import condition as conditionWrapper
+from .tensor2 import add as addWrapper
+from .tensor2 import multiply as multiplyWrapper
+from .tensor2 import divide as divideWrapper
+from .tensor2 import matmul as matmulWrapper
+from .tensor2 import condition as conditionWrapper
 
 def add(value_1 : Tensor, value_2 : Tensor):
     return addWrapper(value_1, value_2)

src/tensor_array/core/tensor.py

@@ -1,4 +1,4 @@
-from tensor_array.core.tensor2 import Tensor as TensorWrapper
+from .tensor2 import Tensor as TensorWrapper
 from .datatypes import DataTypes
 
 class Tensor(TensorWrapper):