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### Description Enabled the use of per channel Bias and Mean normalization when converting an image <--> tensor. Added a few bug fixes and updates to the relevant E2E tests. --------- Co-authored-by: shalvamist <shalva.mist@microsoft.com>
41 lines
1.3 KiB
TypeScript
41 lines
1.3 KiB
TypeScript
// Copyright (c) Microsoft Corporation. All rights reserved.
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// Licensed under the MIT License.
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import {Tensor, TensorToImageDataOptions, TypedTensor} from './tensor';
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interface Properties {
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/**
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* Get the number of elements in the tensor.
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*/
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readonly size: number;
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}
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export interface TypedShapeUtils<T extends Tensor.Type> {
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/**
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* Create a new tensor with the same data buffer and specified dims.
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*
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* @param dims - New dimensions. Size should match the old one.
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*/
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reshape(dims: readonly number[]): TypedTensor<T>;
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}
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// TODO: add more tensor utilities
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export interface TypedTensorUtils<T extends Tensor.Type> extends Properties, TypedShapeUtils<T> {
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/**
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* creates an DataURL instance from tensor
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*
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* @param options - Interface describing tensor instance - Defaults: RGB, 3 channels, 0-255, NHWC
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* 0-255, NHWC
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* @returns An DataURL instance which can be used to draw on canvas
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*/
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toDataURL(options?: TensorToImageDataOptions): string;
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/**
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* creates an ImageData instance from tensor
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*
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* @param tensorFormat - Interface describing tensor instance - Defaults: RGB, 3 channels, 0-255, NHWC
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* 0-255, NHWC
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* @returns An ImageData instance which can be used to draw on canvas
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*/
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toImageData(options?: TensorToImageDataOptions): ImageData;
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}
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