@tensorflow/tfjs-core/src/ops/ops.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.
 * =============================================================================
 */

// Modularized ops.
export {add} from './add';
export {addN} from './add_n';
export {batchNorm, batchNormalization} from './batchnorm';
export {batchNorm2d, batchNormalization2d} from './batchnorm2d';
export {batchNorm3d, batchNormalization3d} from './batchnorm3d';
export {batchNorm4d, batchNormalization4d} from './batchnorm4d';
export {broadcastTo} from './broadcast_to';
export {clone} from './clone';
export {div} from './div';
export {divNoNan} from './div_no_nan';
export {eye} from './eye';
export {multinomial} from './multinomial';
export {oneHot} from './one_hot';
export {pad} from './pad';
export {pad1d} from './pad1d';
export {pad2d} from './pad2d';
export {pad3d} from './pad3d';
export {pad4d} from './pad4d';
export {rand} from './rand';
export {randomGamma} from './random_gamma';
export {randomNormal} from './random_normal';
export {randomUniform} from './random_uniform';
export {square} from './square';
export {squaredDifference} from './squared_difference';
export {tile} from './tile';
export {truncatedNormal} from './truncated_normal';

export * from './boolean_mask';
export * from './complex_ops';
export * from './concat_split';
// Selectively exporting to avoid exposing gradient ops.
export {conv1d, conv2d, conv3d, depthwiseConv2d, separableConv2d, conv2dTranspose, conv3dTranspose} from './conv';
export * from './matmul';
export * from './reverse';
export * from './pool';
export * from './slice';
export * from './unary_ops';
export * from './reduction_ops';
export * from './compare';
export * from './binary_ops';
export * from './relu_ops';
export * from './logical_ops';
export * from './array_ops';
export * from './tensor_ops';
export * from './transpose';
export * from './softmax';
export * from './lrn';
export * from './norm';
export * from './segment_ops';
export * from './lstm';
export * from './moving_average';
export * from './strided_slice';
export * from './topk';
export * from './scatter_nd';
export * from './spectral_ops';
export * from './sparse_to_dense';
export * from './gather_nd';
export * from './diag';
export * from './dropout';
export * from './signal_ops';
export * from './in_top_k';

export {op} from './operation';

// Second level exports.
import * as losses from './loss_ops';
import * as linalg from './linalg_ops';
import * as image from './image_ops';
import * as spectral from './spectral_ops';
import * as fused from './fused_ops';
import * as signal from './signal_ops';

export {image, linalg, losses, spectral, fused, signal};