@tensorflow/tfjs-core/dist/ops/buffer.d.ts

Hardware-accelerated JavaScript library for machine intelligence

/**
 * @license
 * Copyright 2020 Google Inc. 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.
 * =============================================================================
 */
/// <amd-module name="@tensorflow/tfjs-core/dist/ops/buffer" />
import { TensorBuffer } from '../tensor';
import { DataType, DataTypeMap, Rank, ShapeMap } from '../types';
/**
 * Creates an empty `tf.TensorBuffer` with the specified `shape` and `dtype`.
 *
 * The values are stored in CPU as `TypedArray`. Fill the buffer using
 * `buffer.set()`, or by modifying directly `buffer.values`.
 *
 * When done, call `buffer.toTensor()` to get an immutable `tf.Tensor` with
 * those values.
 *
 * ```js
 * // Create a buffer and set values at particular indices.
 * const buffer = tf.buffer([2, 2]);
 * buffer.set(3, 0, 0);
 * buffer.set(5, 1, 0);
 *
 * // Convert the buffer back to a tensor.
 * buffer.toTensor().print();
 * ```
 *
 * @param shape An array of integers defining the output tensor shape.
 * @param dtype The dtype of the buffer. Defaults to 'float32'.
 * @param values The values of the buffer as `TypedArray`. Defaults to
 * zeros.
 *
 * @doc {heading: 'Tensors', subheading: 'Creation'}
 */
export declare function buffer<R extends Rank, D extends DataType = 'float32'>(shape: ShapeMap[R], dtype?: D, values?: DataTypeMap[D]): TensorBuffer<R, D>;