Method copyFrom

web/src/runtime.ts:607–644

* Copy data from another Tensor or javascript array. * The number of elements must match. * * @param data The source data array. * @returns this

(
    data: Tensor | Array<number> | Float32Array | Float64Array |
      Int32Array | Int8Array | Uint8Array | Uint8ClampedArray
  )

   * @returns this
   */
  copyFrom(
    data: Tensor | Array<number> | Float32Array | Float64Array |
      Int32Array | Int8Array | Uint8Array | Uint8ClampedArray
  ): this {
    if (data instanceof Tensor) {
      this.ctx.tensorCopyFromTo(data, this);
      return this;
    } else {
      const size = this.shape.reduce((a, b) => {
        return a * b;
      }, 1);
      if (data.length != size) {
        throw new Error(
          "data size and shape mismatch data.length" +
          data.length +
          " vs " +
          size
        );
      }
      let buffer: ArrayBuffer;
      if (this.dtype === "float32") {
        buffer = Float32Array.from(data).buffer;
      } else if (this.dtype === "float64") {
        buffer = Float64Array.from(data).buffer;
      } else if (this.dtype === "int32") {
        buffer = Int32Array.from(data).buffer;
      } else if (this.dtype === "int8") {
        buffer = Int8Array.from(data).buffer;
      } else if (this.dtype === "uint8") {
        buffer = Uint8Array.from(data).buffer;
      } else if (this.dtype === "uint32") {
        buffer = Uint32Array.from(data).buffer;
      } else {
        throw new Error("Unsupported data type " + this.dtype);
      }
      return this.copyFromRawBytes(new Uint8Array(buffer));
    }
  }
  /**
   * Copy data from raw bytes.
   * @param data Uint8Array of bytes.