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@tensorflow/tfjs-core

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Hardware-accelerated JavaScript library for machine intelligence

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/** * @license * Copyright 2017 Google Inc. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ import {Tensor} from '../tensor'; import * as util from '../util'; export function assertParamsValid( input: Tensor, begin: number[], size: number[]): void { util.assert( input.rank === begin.length, () => `Error in slice${input.rank}D: Length of begin ${begin} must ` + `match the rank of the array (${input.rank}).`); util.assert( input.rank === size.length, () => `Error in slice${input.rank}D: Length of size ${size} must ` + `match the rank of the array (${input.rank}).`); for (let i = 0; i < input.rank; ++i) { util.assert( begin[i] + size[i] <= input.shape[i], () => `Error in slice${input.rank}D: begin[${i}] + size[${i}] ` + `(${begin[i] + size[i]}) would overflow input.shape[${i}] (${ input.shape[i]})`); } } /** Converts a binary mask to an array of axes. Used in stridedSlice(). */ export function maskToAxes(mask: number): number[] { const axes = []; let axis = 0; while (mask > 0) { if (mask & 1) { axes.push(axis); } mask /= 2; axis++; } return axes; } /** Computes the output shape given the strided slice params. */ export function computeOutShape( begin: number[], end: number[], strides: number[]): number[] { const size = []; for (let axis = 0; axis < begin.length; axis++) { size[axis] = Math.ceil((end[axis] - begin[axis]) / strides[axis]); } return size; } export function startForAxis( beginMask: number, startIndices: number[], strides: number[], inputShape: number[], axis: number): number { // Begin with the specified index let start = startIndices[axis]; const stride = strides[axis] || 1; // Check the axis bit from right of beginMask or the begin index is not set // for the axis. if (beginMask & 1 << axis || start == null) { if (stride > 0) { // Forward iteration - use the first element. These values will get // clamped below (Note: We could have set them to 0 and axis_size-1, but // use lowest() and max() to maintain symmetry with StopForAxis()) start = Number.MIN_SAFE_INTEGER; } else { // Backward iteration - use the last element. start = Number.MAX_SAFE_INTEGER; } } // Handle negative indices const axisSize = inputShape[axis]; if (start < 0) { start += axisSize; } // Clamping start = util.clamp(0, start, axisSize - 1); return start; } export function stopForAxis( endMask: number, stopIndices: number[], strides: number[], inputShape: number[], axis: number): number { // Begin with the specified index let stop = stopIndices[axis]; const stride = strides[axis] || 1; // Check the axis bit from right of endMask or if the stop index is not set // for this axis. if (endMask & (1 << axis) || stop == null) { if (stride > 0) { // Forward iteration - use the last element. These values will get // clamped below stop = Number.MAX_SAFE_INTEGER; } else { // Backward iteration - use the first element. stop = Number.MIN_SAFE_INTEGER; } } // Handle negative indices const axisSize = inputShape[axis]; if (stop < 0) { stop += axisSize; } // Clamping // Because the end index points one past the last element, we need slightly // different clamping ranges depending on the direction. if (stride > 0) { // Forward iteration stop = util.clamp(0, stop, axisSize); } else { // Backward iteration stop = util.clamp(-1, stop, axisSize - 1); } return stop; } /** * Returns true if the slice occupies a continous set of elements in the * 'flat' space. */ export function isSliceContinous( shape: number[], begin: number[], size: number[]) { // Index of the first axis that has size > 1. let firstNonOneAxis = size.length; for (let i = 0; i < size.length; i++) { if (size[i] > 1) { firstNonOneAxis = i; break; } } for (let i = firstNonOneAxis + 1; i < size.length; i++) { if (begin[i] > 0 || size[i] !== shape[i]) { return false; } } return true; } export function computeFlatOffset(begin: number[], strides: number[]): number { let flatOffset = begin.length > 0 ? begin[begin.length - 1] : 1; for (let i = 0; i < begin.length - 1; i++) { flatOffset += begin[i] * strides[i]; } return flatOffset; }