/**
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* @license
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* Copyright 2020 Google Inc. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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import {CustomModuleFiles, CustomTFJSBundleConfig, ImportProvider} from './types';
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import {getPreamble} from './util';
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export function getCustomModuleString(
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config: CustomTFJSBundleConfig,
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moduleProvider: ImportProvider,
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): CustomModuleFiles {
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const {kernels, backends, forwardModeOnly, models} = config;
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const tfjs: string[] = [getPreamble()];
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// A custom tfjs module
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addLine(tfjs, moduleProvider.importCoreStr(forwardModeOnly));
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if (models.length > 0) {
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// A model.json has been passed.
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addLine(tfjs, moduleProvider.importConverterStr());
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}
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for (const backend of backends) {
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addLine(tfjs, `\n//backend = ${backend}`);
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addLine(tfjs, moduleProvider.importBackendStr(backend));
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for (const kernelName of kernels) {
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const kernelImport = moduleProvider.importKernelStr(kernelName, backend);
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if (!moduleProvider.validateImportPath(kernelImport.importPath)) {
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console.warn(
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'WARNING:',
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`Import path '${
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kernelImport.importPath}' cannot be resolved. Skipping...`);
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continue;
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}
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addLine(tfjs, kernelImport.importStatement);
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addLine(tfjs, registerKernelStr(kernelImport.kernelConfigId));
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}
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}
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if (!forwardModeOnly) {
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addLine(tfjs, `\n//Gradients`);
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for (const kernelName of kernels) {
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const gradImport = moduleProvider.importGradientConfigStr(kernelName);
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if (!moduleProvider.validateImportPath(gradImport.importPath)) {
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console.warn(
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'WARNING:',
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`Import path '${
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gradImport.importPath}' cannot be resolved. Skipping...`);
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continue;
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}
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addLine(tfjs, gradImport.importStatement);
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addLine(tfjs, registerGradientConfigStr(gradImport.gradConfigId));
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}
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}
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// A custom tfjs core module for imports within tfjs packages
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const core: string[] = [getPreamble()];
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addLine(core, moduleProvider.importCoreStr(forwardModeOnly));
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return {
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core: core.join('\n'),
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tfjs: tfjs.join('\n'),
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};
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}
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export function getCustomConverterOpsModule(
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ops: string[], moduleProvider: ImportProvider): string {
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const result: string[] = ['// This file is autogenerated\n'];
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// Separate namespaced apis from non namespaced ones as they require a
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// different export pattern that treats each namespace as a whole.
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const flatOps = [];
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const namespacedOps: {[key: string]: string[]} = {};
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for (const opSymbol of ops) {
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if (opSymbol.match(/\./)) {
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const parts = opSymbol.split(/\./);
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const namespace = parts[0];
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const opName = parts[1];
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if (namespacedOps[namespace] == null) {
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namespacedOps[namespace] = [];
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}
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namespacedOps[namespace].push(opName);
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} else {
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flatOps.push(opSymbol);
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}
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}
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// Group the namespaced symbols by namespace
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for (const namespace of Object.keys(namespacedOps)) {
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const opSymbols = namespacedOps[namespace];
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result.push(moduleProvider.importNamespacedOpsForConverterStr(
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namespace, opSymbols));
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}
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for (const opSymbol of flatOps) {
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result.push(moduleProvider.importOpForConverterStr(opSymbol));
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}
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return result.join('\n');
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}
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function addLine(target: string[], line: string) {
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target.push(line);
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}
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function registerKernelStr(kernelConfigId: string) {
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return `registerKernel(${kernelConfigId});`;
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}
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function registerGradientConfigStr(gradConfigId: string) {
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return `registerGradient(${gradConfigId});`;
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}
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