docs: add quixzoom-auth-core product to AAMOS

- Product documentation in docs/products/ - Updated MEMORY.md with product info - quiXzoom Auth Core as AAMOS Identity product
2026-07-14 09:58:53 +00:00
parent 58ca4e68db
commit 48ea61cdcc
2730 changed files with 293827 additions and 7213 deletions
@@ -0,0 +1,70 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+import {
+  CpuPinnedConstructorParameters,
+  GpuBufferConstructorParameters,
+  MLTensorConstructorParameters,
+  TextureConstructorParameters,
+} from './tensor-factory.js';
+import { Tensor } from './tensor-impl.js';
+
+/**
+ * calculate size from dims.
+ *
+ * @param dims the dims array. May be an illegal input.
+ */
+export const calculateSize = (dims: readonly unknown[]): number => {
+  let size = 1;
+  for (let i = 0; i < dims.length; i++) {
+    const dim = dims[i];
+    if (typeof dim !== 'number' || !Number.isSafeInteger(dim)) {
+      throw new TypeError(`dims[${i}] must be an integer, got: ${dim}`);
+    }
+    if (dim < 0) {
+      throw new RangeError(`dims[${i}] must be a non-negative integer, got: ${dim}`);
+    }
+    size *= dim;
+  }
+  return size;
+};
+
+/**
+ * implementation of Tensor.reshape()
+ */
+export const tensorReshape = (tensor: Tensor, dims: readonly number[]): Tensor => {
+  switch (tensor.location) {
+    case 'cpu':
+      return new Tensor(tensor.type, tensor.data, dims);
+    case 'cpu-pinned':
+      return new Tensor({
+        location: 'cpu-pinned',
+        data: tensor.data as CpuPinnedConstructorParameters['data'],
+        type: tensor.type as CpuPinnedConstructorParameters['type'],
+        dims,
+      });
+    case 'texture':
+      return new Tensor({
+        location: 'texture',
+        texture: tensor.texture,
+        type: tensor.type as TextureConstructorParameters['type'],
+        dims,
+      });
+    case 'gpu-buffer':
+      return new Tensor({
+        location: 'gpu-buffer',
+        gpuBuffer: tensor.gpuBuffer,
+        type: tensor.type as GpuBufferConstructorParameters['type'],
+        dims,
+      });
+    case 'ml-tensor':
+      return new Tensor({
+        location: 'ml-tensor',
+        mlTensor: tensor.mlTensor,
+        type: tensor.type as MLTensorConstructorParameters['type'],
+        dims,
+      });
+    default:
+      throw new Error(`tensorReshape: tensor location ${tensor.location} is not supported`);
+  }
+};