Method buildRunInput

src/neural-network-gpu.js:63–102

()

  }

  buildRunInput() {
    let weightedSum = null;

    switch (this.activation) {
      case 'sigmoid':
        weightedSum = weightedSumSigmoid;
        break;
      case 'relu':
        weightedSum = weightedSumRelu;
        break;
      case 'leaky-relu':
        weightedSum = weightedSumLeakyRelu;
        break;
      case 'tanh':
        weightedSum = weightedSumTanh;
        break;
      default:
        throw new Error('unknown activation ' + this.activation);
    }

    for(let layer = 1; layer <= this.outputLayer; layer++){
      this.forwardPropagate[layer] = this.gpu.createKernel(weightedSum, {
        output: [this.sizes[layer]],
        outputToTexture: true,
        hardcodeConstants: true,
        constants: {
          size: this.sizes[layer - 1]
        }
      });
    }

    this._texturizeInputData = this.gpu.createKernel(function(value) {
      return value[this.thread.x];
    }, {
      output: [this.sizes[1]],
      outputToTexture: true,
      hardcodeConstants: true,
      outputImmutable: true
    });
  }

  /**
   *