remove TensorArray implementation

src/tfcpatches/TensorArray.ts

-import * as tf from '@tensorflow/tfjs-core';
-
-export class TensorArray {
-  private _tensors: tf.Tensor[]
-
-  constructor(
-    size: number,
-    private _dtype: tf.DataType | null = null,
-    private _elementShape: number[] | null = null,
-    private _dynamicSize: boolean = false,
-    private _clearAfterRead: boolean = true,
-    private _identicalElementShapes: boolean = false,
-    private _tensorArrayName: string = ''
-  ) {
-    this._tensors = size
-      ? Array(size).fill(0).map(_ => tf.scalar(0))
-      : []
-  }
-
-  public scatter(indices: tf.Tensor1D, value: tf.Tensor, unusedFlow: tf.Scalar): tf.Scalar {
-    this.expectValidSize('scatter', indices)
-    if (indices.shape.length !== 1) {
-      throw new Error(`scatter - expected rank of indices (${indices.shape.length}) to be 1`)
-    }
-    if (indices.shape[0] !== value.shape[0]) {
-      throw new Error(`scatter - expected indices.shape[0] (${indices.shape[0]}) to equal value.shape[0] (${value.shape[0]})`)
-    }
-
-    const unstacked = tf.unstack(value, 0)
-    Array.from(indices.dataSync()).forEach((idx, i) => {
-      (this._tensors as tf.Tensor[])[idx] = unstacked[i]
-    })
-
-    const unusedFlowOut = tf.scalar(0)
-    return unusedFlowOut
-  }
-
-  public gather(indices: tf.Tensor1D, unusedFlow: tf.Scalar, dtype?: tf.DataType, elementShape?: number[]) : tf.Tensor {
-    this.expectValidSize('gather', indices)
-    const tensors = Array.from(indices.dataSync()).map(idx => this._tensors[idx])
-    return tf.concat(tensors)
-  }
-
-  public size(unusedFlow?: tf.Scalar) {
-    return this._tensors.length
-  }
-
-  private expectValidSize(methodName: string, indices: tf.Tensor1D) {
-    if (!this._tensors) {
-      throw new Error('scatter - TensorArray is not initialized')
-    }
-    if (indices.shape[0] > this._tensors.length) {
-      throw new Error(`${methodName} - expected indices.shape[0] (${indices.shape[0]}) to be >= this.size() (${this.size()})`)
-    }
-  }
-}
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