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chenyc

2025-06-12 7b72ac13a83764a662159d4a49b7fffb90476ecb

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/**
 * @license
 * Copyright 2018 Google LLC. 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 { env } from './environment';
import * as util from './util';
export class Profiler {
    constructor(backendTimer, logger) {
        this.backendTimer = backendTimer;
        this.logger = logger;
        if (logger == null) {
            this.logger = new Logger();
        }
    }
    profileKernel(kernelName, inputs, f) {
        let outputs;
        const holdResultWrapperFn = () => {
            outputs = f();
        };
        let timer;
        const start = util.now();
        if (this.backendTimer.timerAvailable()) {
            timer = this.backendTimer.time(holdResultWrapperFn);
        }
        else {
            holdResultWrapperFn();
            for (const output of outputs) {
                output.dataSync();
            }
            timer = Promise.resolve({ kernelMs: util.now() - start });
        }
        if (env().getBool('CHECK_COMPUTATION_FOR_ERRORS')) {
            for (let i = 0; i < outputs.length; i++) {
                const output = outputs[i];
                // Dangling promise here because we don't want to propagate up
                // asynchronicity.
                output.data().then(tensorVals => {
                    checkComputationForErrors(tensorVals, output.dtype, kernelName);
                });
            }
        }
        const kernelProfile = {
            kernelName,
            outputs,
            inputs,
            timeMs: timer.then(timing => timing.kernelMs),
            extraInfo: timer.then(timing => timing.getExtraProfileInfo != null ?
                timing.getExtraProfileInfo() :
                '')
        };
        return kernelProfile;
    }
    logKernelProfile(kernelProfile) {
        const { kernelName, outputs, timeMs, inputs, extraInfo } = kernelProfile;
        outputs.forEach(result => {
            Promise.all([result.data(), timeMs, extraInfo]).then(valueContainer => {
                this.logger.logKernelProfile(kernelName, result, valueContainer[0], valueContainer[1], inputs, valueContainer[2]);
            });
        });
    }
}
export function checkComputationForErrors(vals, dtype, kernelName) {
    if (dtype !== 'float32') {
        // Only floating point computations will generate NaN values
        return false;
    }
    for (let i = 0; i < vals.length; i++) {
        const num = vals[i];
        if (isNaN(num) || !isFinite(num)) {
            // Throwing custom exception so behavior is testable.
            console.warn(`Found ${num} in the result of '${kernelName}'`);
            return true;
        }
    }
    return false;
}
export class Logger {
    logKernelProfile(name, result, vals, timeMs, inputs, extraInfo) {
        const time = typeof timeMs === 'number' ? util.rightPad(`${timeMs}ms`, 9) :
            timeMs['error'];
        const paddedName = util.rightPad(name, 25);
        const rank = result.rank;
        const size = result.size;
        const shape = util.rightPad(result.shape.toString(), 14);
        let inputShapesDescription = '';
        for (const name in inputs) {
            const input = inputs[name];
            if (input != null) {
                // The input might be a non-tensor (e.g HTMLImageElement), in which case
                // we claim the output shape as input shape.
                const inputShape = input.shape || result.shape;
                const inputRank = inputShape.length;
                inputShapesDescription +=
                    `${name}: ${inputRank}D ${inputRank > 0 ? inputShape : ''} `;
            }
        }
        console.log(`%c${paddedName}\t%c${time}\t%c${rank}D ${shape}\t%c${size}\t%c${inputShapesDescription}\t%c${extraInfo}`, 'font-weight:bold', 'color:red', 'color:blue', 'color: orange', 'color: green', 'color: steelblue');
    }
}
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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {BackendTimer, BackendTimingInfo} from './backends/backend';\nimport {env} from './environment';\nimport {Tensor} from './tensor';\nimport {NamedTensorMap} from './tensor_types';\nimport {DataType, DataTypeMap, TypedArray} from './types';\nimport * as util from './util';\n\nexport type KernelProfile = {\n  kernelName: string,\n  outputs: Tensor[],\n  inputs: NamedTensorMap,\n  timeMs: Promise<number|{error: string}>,\n  extraInfo: Promise<string>\n};\n\nexport class Profiler {\n  constructor(private backendTimer: BackendTimer, private logger?: Logger) {\n    if (logger == null) {\n      this.logger = new Logger();\n    }\n  }\n\n  profileKernel(kernelName: string, inputs: NamedTensorMap, f: () => Tensor[]):\n      KernelProfile {\n    let outputs: Tensor[];\n    const holdResultWrapperFn = () => {\n      outputs = f();\n    };\n    let timer: Promise<BackendTimingInfo>;\n    const start = util.now();\n    if (this.backendTimer.timerAvailable()) {\n      timer = this.backendTimer.time(holdResultWrapperFn);\n    } else {\n      holdResultWrapperFn();\n      for (const output of outputs) {\n        output.dataSync();\n      }\n      timer = Promise.resolve({kernelMs: util.now() - start});\n    }\n    if (env().getBool('CHECK_COMPUTATION_FOR_ERRORS')) {\n      for (let i = 0; i < outputs.length; i++) {\n        const output = outputs[i];\n        // Dangling promise here because we don't want to propagate up\n        // asynchronicity.\n        output.data().then(tensorVals => {\n          checkComputationForErrors(tensorVals, output.dtype, kernelName);\n        });\n      }\n    }\n\n    const kernelProfile = {\n      kernelName,\n      outputs,\n      inputs,\n      timeMs: timer.then(timing => timing.kernelMs),\n      extraInfo: timer.then(\n          timing => timing.getExtraProfileInfo != null ?\n              timing.getExtraProfileInfo() :\n              '')\n    };\n    return kernelProfile;\n  }\n\n  logKernelProfile(kernelProfile: KernelProfile): void {\n    const {kernelName, outputs, timeMs, inputs, extraInfo} = kernelProfile;\n\n    outputs.forEach(result => {\n      Promise.all([result.data(), timeMs, extraInfo]).then(valueContainer => {\n        this.logger.logKernelProfile(\n            kernelName, result, valueContainer[0], valueContainer[1], inputs,\n            valueContainer[2]);\n      });\n    });\n  }\n}\n\nexport function checkComputationForErrors<D extends DataType>(\n    vals: DataTypeMap[D], dtype: D, kernelName: string): boolean {\n  if (dtype !== 'float32') {\n    // Only floating point computations will generate NaN values\n    return false;\n  }\n  for (let i = 0; i < vals.length; i++) {\n    const num = vals[i] as number;\n    if (isNaN(num) || !isFinite(num)) {\n      // Throwing custom exception so behavior is testable.\n      console.warn(`Found ${num} in the result of '${kernelName}'`);\n      return true;\n    }\n  }\n  return false;\n}\n\nexport class Logger {\n  logKernelProfile(\n      name: string, result: Tensor, vals: TypedArray,\n      timeMs: number|{error: string}, inputs: NamedTensorMap,\n      extraInfo?: string) {\n    const time = typeof timeMs === 'number' ? util.rightPad(`${timeMs}ms`, 9) :\n                                              timeMs['error'];\n    const paddedName = util.rightPad(name, 25);\n    const rank = result.rank;\n    const size = result.size;\n    const shape = util.rightPad(result.shape.toString(), 14);\n    let inputShapesDescription = '';\n\n    for (const name in inputs) {\n      const input = inputs[name];\n      if (input != null) {\n        // The input might be a non-tensor (e.g HTMLImageElement), in which case\n        // we claim the output shape as input shape.\n        const inputShape = input.shape || result.shape;\n        const inputRank = inputShape.length;\n        inputShapesDescription +=\n            `${name}: ${inputRank}D ${inputRank > 0 ? inputShape : ''} `;\n      }\n    }\n\n    console.log(\n        `%c${paddedName}\\t%c${time}\\t%c${rank}D ${shape}\\t%c${size}\\t%c${\n            inputShapesDescription}\\t%c${extraInfo}`,\n        'font-weight:bold', 'color:red', 'color:blue', 'color: orange',\n        'color: green', 'color: steelblue');\n  }\n}\n"]}