/**
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* @license
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* Copyright 2020 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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/// <amd-module name="@tensorflow/tfjs-core/dist/ops/ops" />
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export { abs } from './abs';
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export { acos } from './acos';
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export { acosh } from './acosh';
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export { add } from './add';
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export { addN } from './add_n';
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export { all } from './all';
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export { any } from './any';
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export { argMax } from './arg_max';
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export { argMin } from './arg_min';
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export { asin } from './asin';
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export { asinh } from './asinh';
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export { atan } from './atan';
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export { atan2 } from './atan2';
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export { atanh } from './atanh';
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export { avgPool } from './avg_pool';
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export { avgPool3d } from './avg_pool_3d';
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export { basicLSTMCell } from './basic_lstm_cell';
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export { batchToSpaceND } from './batch_to_space_nd';
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export { batchNorm } from './batchnorm';
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export { batchNorm2d } from './batchnorm2d';
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export { batchNorm3d } from './batchnorm3d';
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export { batchNorm4d } from './batchnorm4d';
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export { bincount } from './bincount';
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export { bitwiseAnd } from './bitwise_and';
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export { broadcastArgs } from './broadcast_args';
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export { broadcastTo } from './broadcast_to';
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export { buffer } from './buffer';
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export { cast } from './cast';
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export { ceil } from './ceil';
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export { clipByValue } from './clip_by_value';
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export { clone } from './clone';
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export { complex } from './complex';
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export { concat } from './concat';
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export { concat1d } from './concat_1d';
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export { concat2d } from './concat_2d';
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export { concat3d } from './concat_3d';
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export { concat4d } from './concat_4d';
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export { conv1d } from './conv1d';
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export { conv2d } from './conv2d';
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export { conv2dTranspose } from './conv2d_transpose';
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export { conv3d } from './conv3d';
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export { conv3dTranspose } from './conv3d_transpose';
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export { cos } from './cos';
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export { cosh } from './cosh';
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export { cumprod } from './cumprod';
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export { cumsum } from './cumsum';
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export { denseBincount } from './dense_bincount';
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export { depthToSpace } from './depth_to_space';
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export { depthwiseConv2d } from './depthwise_conv2d';
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export { diag } from './diag';
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export { dilation2d } from './dilation2d';
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export { div } from './div';
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export { divNoNan } from './div_no_nan';
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export { dot } from './dot';
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export { einsum } from './einsum';
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export { elu } from './elu';
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export { ensureShape } from './ensure_shape';
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export { equal } from './equal';
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export { erf } from './erf';
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export { euclideanNorm } from './euclidean_norm';
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export { exp } from './exp';
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export { expandDims } from './expand_dims';
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export { expm1 } from './expm1';
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export { eye } from './eye';
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export { fill } from './fill';
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export { floor } from './floor';
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export { floorDiv } from './floorDiv';
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export { gather } from './gather';
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export { greater } from './greater';
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export { greaterEqual } from './greater_equal';
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export { imag } from './imag';
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export { isFinite } from './is_finite';
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export { isInf } from './is_inf';
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export { isNaN } from './is_nan';
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export { leakyRelu } from './leaky_relu';
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export { less } from './less';
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export { lessEqual } from './less_equal';
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export { linspace } from './linspace';
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export { localResponseNormalization } from './local_response_normalization';
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export { log } from './log';
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export { log1p } from './log1p';
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export { logSigmoid } from './log_sigmoid';
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export { logSoftmax } from './log_softmax';
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export { logSumExp } from './log_sum_exp';
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export { logicalAnd } from './logical_and';
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export { logicalNot } from './logical_not';
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export { logicalOr } from './logical_or';
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export { logicalXor } from './logical_xor';
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export { lowerBound } from './lower_bound';
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export { matMul } from './mat_mul';
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export { max } from './max';
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export { maxPool } from './max_pool';
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export { maxPool3d } from './max_pool_3d';
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export { maxPoolWithArgmax } from './max_pool_with_argmax';
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export { maximum } from './maximum';
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export { mean } from './mean';
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export { meshgrid } from './meshgrid';
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export { min } from './min';
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export { minimum } from './minimum';
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export { mirrorPad } from './mirror_pad';
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export { mod } from './mod';
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export { moments } from './moments';
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export { mul } from './mul';
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export { LSTMCellFunc, multiRNNCell } from './multi_rnn_cell';
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export { multinomial } from './multinomial';
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export { neg } from './neg';
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export { notEqual } from './not_equal';
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export { oneHot } from './one_hot';
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export { ones } from './ones';
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export { onesLike } from './ones_like';
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export { outerProduct } from './outer_product';
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export { pad } from './pad';
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export { pad1d } from './pad1d';
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export { pad2d } from './pad2d';
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export { pad3d } from './pad3d';
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export { pad4d } from './pad4d';
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export { pool } from './pool';
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export { pow } from './pow';
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export { prelu } from './prelu';
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export { print } from './print';
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export { prod } from './prod';
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export { raggedGather } from './ragged_gather';
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export { raggedRange } from './ragged_range';
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export { raggedTensorToTensor } from './ragged_tensor_to_tensor';
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export { rand } from './rand';
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export { randomGamma } from './random_gamma';
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export { randomNormal } from './random_normal';
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export { randomStandardNormal } from './random_standard_normal';
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export { randomUniform } from './random_uniform';
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export { randomUniformInt } from './random_uniform_int';
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export { range } from './range';
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export { real } from './real';
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export { reciprocal } from './reciprocal';
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export { relu } from './relu';
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export { relu6 } from './relu6';
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export { reshape } from './reshape';
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export { reverse } from './reverse';
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export { reverse1d } from './reverse_1d';
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export { reverse2d } from './reverse_2d';
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export { reverse3d } from './reverse_3d';
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export { reverse4d } from './reverse_4d';
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export { round } from './round';
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export { rsqrt } from './rsqrt';
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export { scalar } from './scalar';
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export { selu } from './selu';
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export { separableConv2d } from './separable_conv2d';
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export { setdiff1dAsync } from './setdiff1d_async';
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export { sigmoid } from './sigmoid';
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export { sign } from './sign';
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export { sin } from './sin';
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export { sinh } from './sinh';
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export { slice } from './slice';
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export { slice1d } from './slice1d';
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export { slice2d } from './slice2d';
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export { slice3d } from './slice3d';
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export { slice4d } from './slice4d';
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export { softmax } from './softmax';
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export { softplus } from './softplus';
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export { spaceToBatchND } from './space_to_batch_nd';
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export { fft } from './spectral/fft';
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export { ifft } from './spectral/ifft';
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export { irfft } from './spectral/irfft';
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export { rfft } from './spectral/rfft';
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export { split } from './split';
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export { sqrt } from './sqrt';
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export { square } from './square';
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export { squaredDifference } from './squared_difference';
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export { squeeze } from './squeeze';
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export { stack } from './stack';
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export { step } from './step';
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export { stridedSlice } from './strided_slice';
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export { sub } from './sub';
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export { sum } from './sum';
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export { tan } from './tan';
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export { tanh } from './tanh';
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export { tensor } from './tensor';
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export { tensor1d } from './tensor1d';
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export { tensor2d } from './tensor2d';
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export { tensor3d } from './tensor3d';
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export { tensor4d } from './tensor4d';
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export { tensor5d } from './tensor5d';
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export { tensor6d } from './tensor6d';
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export { tensorScatterUpdate } from './tensor_scatter_update';
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export { tile } from './tile';
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export { topk } from './topk';
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export { truncatedNormal } from './truncated_normal';
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export { unique } from './unique';
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export { unsortedSegmentSum } from './unsorted_segment_sum';
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export { unstack } from './unstack';
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export { upperBound } from './upper_bound';
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export { variable } from './variable';
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export { where } from './where';
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export { whereAsync } from './where_async';
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export { zeros } from './zeros';
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export { zerosLike } from './zeros_like';
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export * from './boolean_mask';
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export * from './transpose';
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export * from './norm';
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export * from './moving_average';
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export * from './scatter_nd';
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export * from './search_sorted';
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export * from './sparse_to_dense';
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export * from './gather_nd';
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export * from './dropout';
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export * from './signal_ops_util';
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export * from './in_top_k';
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export { op, OP_SCOPE_SUFFIX } from './operation';
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declare const spectral: {
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fft: (input: import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>) => import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>;
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ifft: (input: import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>) => import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>;
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rfft: (input: import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>, fftLength?: number) => import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>;
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irfft: (input: import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>) => import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>;
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};
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import * as fused from './fused_ops';
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declare const signal: {
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hammingWindow: (windowLength: number) => import("@tensorflow/tfjs-core/dist/tensor").Tensor1D;
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hannWindow: (windowLength: number) => import("@tensorflow/tfjs-core/dist/tensor").Tensor1D;
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frame: (signal: import("@tensorflow/tfjs-core/dist/tensor").Tensor1D, frameLength: number, frameStep: number, padEnd?: boolean, padValue?: number) => import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>;
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stft: (signal: import("@tensorflow/tfjs-core/dist/tensor").Tensor1D, frameLength: number, frameStep: number, fftLength?: number, windowFn?: (length: number) => import("@tensorflow/tfjs-core/dist/tensor").Tensor1D) => import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>;
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};
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declare const image: {
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flipLeftRight: (image: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor4D) => import("@tensorflow/tfjs-core/dist/tensor").Tensor4D;
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grayscaleToRGB: <T extends import("@tensorflow/tfjs-core/dist/tensor").Tensor2D | import("@tensorflow/tfjs-core/dist/tensor").Tensor3D | import("@tensorflow/tfjs-core/dist/tensor").Tensor4D | import("@tensorflow/tfjs-core/dist/tensor").Tensor5D | import("@tensorflow/tfjs-core/dist/tensor").Tensor6D>(image: import("@tensorflow/tfjs-core/dist/types").TensorLike | T) => T;
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resizeNearestNeighbor: <T_1 extends import("@tensorflow/tfjs-core/dist/tensor").Tensor3D | import("@tensorflow/tfjs-core/dist/tensor").Tensor4D>(images: import("@tensorflow/tfjs-core/dist/types").TensorLike | T_1, size: [number, number], alignCorners?: boolean, halfPixelCenters?: boolean) => T_1;
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resizeBilinear: <T_2 extends import("@tensorflow/tfjs-core/dist/tensor").Tensor3D | import("@tensorflow/tfjs-core/dist/tensor").Tensor4D>(images: import("@tensorflow/tfjs-core/dist/types").TensorLike | T_2, size: [number, number], alignCorners?: boolean, halfPixelCenters?: boolean) => T_2;
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rgbToGrayscale: <T_3 extends import("@tensorflow/tfjs-core/dist/tensor").Tensor2D | import("@tensorflow/tfjs-core/dist/tensor").Tensor3D | import("@tensorflow/tfjs-core/dist/tensor").Tensor4D | import("@tensorflow/tfjs-core/dist/tensor").Tensor5D | import("@tensorflow/tfjs-core/dist/tensor").Tensor6D>(image: import("@tensorflow/tfjs-core/dist/types").TensorLike | T_3) => T_3;
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rotateWithOffset: (image: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor4D, radians: number, fillValue?: number | [number, number, number], center?: number | [number, number]) => import("@tensorflow/tfjs-core/dist/tensor").Tensor4D;
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cropAndResize: (image: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor4D, boxes: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor2D, boxInd: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor1D, cropSize: [number, number], method?: "bilinear" | "nearest", extrapolationValue?: number) => import("@tensorflow/tfjs-core/dist/tensor").Tensor4D;
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nonMaxSuppression: (boxes: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor2D, scores: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor1D, maxOutputSize: number, iouThreshold?: number, scoreThreshold?: number) => import("@tensorflow/tfjs-core/dist/tensor").Tensor1D;
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nonMaxSuppressionAsync: (boxes: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor2D, scores: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor1D, maxOutputSize: number, iouThreshold?: number, scoreThreshold?: number) => Promise<import("@tensorflow/tfjs-core/dist/tensor").Tensor1D>;
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nonMaxSuppressionWithScore: (boxes: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor2D, scores: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor1D, maxOutputSize: number, iouThreshold?: number, scoreThreshold?: number, softNmsSigma?: number) => import("@tensorflow/tfjs-core/dist/tensor_types").NamedTensorMap;
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nonMaxSuppressionWithScoreAsync: (boxes: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor2D, scores: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor1D, maxOutputSize: number, iouThreshold?: number, scoreThreshold?: number, softNmsSigma?: number) => Promise<import("@tensorflow/tfjs-core/dist/tensor_types").NamedTensorMap>;
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nonMaxSuppressionPadded: (boxes: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor2D, scores: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor1D, maxOutputSize: number, iouThreshold?: number, scoreThreshold?: number, padToMaxOutputSize?: boolean) => import("@tensorflow/tfjs-core/dist/tensor_types").NamedTensorMap;
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nonMaxSuppressionPaddedAsync: (boxes: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor2D, scores: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor1D, maxOutputSize: number, iouThreshold?: number, scoreThreshold?: number, padToMaxOutputSize?: boolean) => Promise<import("@tensorflow/tfjs-core/dist/tensor_types").NamedTensorMap>;
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threshold: (image: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor3D, method?: string, inverted?: boolean, threshValue?: number) => import("@tensorflow/tfjs-core/dist/tensor").Tensor3D;
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transform: (image: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor4D, transforms: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor2D, interpolation?: "bilinear" | "nearest", fillMode?: "reflect" | "nearest" | "constant" | "wrap", fillValue?: number, outputShape?: [number, number]) => import("@tensorflow/tfjs-core/dist/tensor").Tensor4D;
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};
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declare const linalg: {
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bandPart: <T extends import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>>(a: import("@tensorflow/tfjs-core/dist/types").TensorLike | T, numLower: number | import("@tensorflow/tfjs-core/dist/tensor").Scalar, numUpper: number | import("@tensorflow/tfjs-core/dist/tensor").Scalar) => T;
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gramSchmidt: (xs: import("@tensorflow/tfjs-core/dist/tensor").Tensor2D | import("@tensorflow/tfjs-core/dist/tensor").Tensor1D[]) => import("@tensorflow/tfjs-core/dist/tensor").Tensor2D | import("@tensorflow/tfjs-core/dist/tensor").Tensor1D[];
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qr: (x: import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>, fullMatrices?: boolean) => [import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>, import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>];
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};
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declare const losses: {
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absoluteDifference: <T extends import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>, O extends import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>>(labels: import("@tensorflow/tfjs-core/dist/types").TensorLike | T, predictions: import("@tensorflow/tfjs-core/dist/types").TensorLike | T, weights?: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>, reduction?: import("@tensorflow/tfjs-core/dist/base").Reduction) => O;
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computeWeightedLoss: <T_1 extends import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>, O_1 extends import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>>(losses: import("@tensorflow/tfjs-core/dist/types").TensorLike | T_1, weights?: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>, reduction?: import("@tensorflow/tfjs-core/dist/base").Reduction) => O_1;
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cosineDistance: <T_2 extends import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>, O_2 extends import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>>(labels: import("@tensorflow/tfjs-core/dist/types").TensorLike | T_2, predictions: import("@tensorflow/tfjs-core/dist/types").TensorLike | T_2, axis: number, weights?: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>, reduction?: import("@tensorflow/tfjs-core/dist/base").Reduction) => O_2;
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hingeLoss: <T_3 extends import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>, O_3 extends import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>>(labels: import("@tensorflow/tfjs-core/dist/types").TensorLike | T_3, predictions: import("@tensorflow/tfjs-core/dist/types").TensorLike | T_3, weights?: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>, reduction?: import("@tensorflow/tfjs-core/dist/base").Reduction) => O_3;
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huberLoss: <T_4 extends import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>, O_4 extends import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>>(labels: import("@tensorflow/tfjs-core/dist/types").TensorLike | T_4, predictions: import("@tensorflow/tfjs-core/dist/types").TensorLike | T_4, weights?: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>, delta?: number, reduction?: import("@tensorflow/tfjs-core/dist/base").Reduction) => O_4;
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logLoss: <T_5 extends import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>, O_5 extends import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>>(labels: import("@tensorflow/tfjs-core/dist/types").TensorLike | T_5, predictions: import("@tensorflow/tfjs-core/dist/types").TensorLike | T_5, weights?: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>, epsilon?: number, reduction?: import("@tensorflow/tfjs-core/dist/base").Reduction) => O_5;
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meanSquaredError: <T_6 extends import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>, O_6 extends import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>>(labels: import("@tensorflow/tfjs-core/dist/types").TensorLike | T_6, predictions: import("@tensorflow/tfjs-core/dist/types").TensorLike | T_6, weights?: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>, reduction?: import("@tensorflow/tfjs-core/dist/base").Reduction) => O_6;
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sigmoidCrossEntropy: <T_7 extends import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>, O_7 extends import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>>(multiClassLabels: import("@tensorflow/tfjs-core/dist/types").TensorLike | T_7, logits: import("@tensorflow/tfjs-core/dist/types").TensorLike | T_7, weights?: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>, labelSmoothing?: number, reduction?: import("@tensorflow/tfjs-core/dist/base").Reduction) => O_7;
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softmaxCrossEntropy: <T_8 extends import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>, O_8 extends import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>>(onehotLabels: import("@tensorflow/tfjs-core/dist/types").TensorLike | T_8, logits: import("@tensorflow/tfjs-core/dist/types").TensorLike | T_8, weights?: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>, labelSmoothing?: number, reduction?: import("@tensorflow/tfjs-core/dist/base").Reduction) => O_8;
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};
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declare const sparse: {
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sparseFillEmptyRows: (indices: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor2D, values: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor1D, denseShape: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor1D, defaultValue: import("@tensorflow/tfjs-core/dist/types").ScalarLike | import("@tensorflow/tfjs-core/dist/tensor").Scalar) => import("@tensorflow/tfjs-core/dist/tensor_types").NamedTensorMap;
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sparseReshape: (inputIndices: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor2D, inputShape: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor1D, newShape: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor1D) => import("@tensorflow/tfjs-core/dist/tensor_types").NamedTensorMap;
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sparseSegmentMean: (data: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>, indices: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor1D, segmentIds: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor1D) => import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>;
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sparseSegmentSum: (data: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>, indices: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor1D, segmentIds: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor1D) => import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>;
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};
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declare const string: {
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stringNGrams: (data: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor1D, dataSplits: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>, separator: string, nGramWidths: number[], leftPad: string, rightPad: string, padWidth: number, preserveShortSequences: boolean) => import("@tensorflow/tfjs-core/dist/tensor_types").NamedTensorMap;
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stringSplit: (input: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor1D, delimiter: import("@tensorflow/tfjs-core/dist/types").ScalarLike | import("@tensorflow/tfjs-core/dist/tensor").Scalar, skipEmpty?: boolean) => import("@tensorflow/tfjs-core/dist/tensor_types").NamedTensorMap;
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stringToHashBucketFast: (input: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>, numBuckets: number) => import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>;
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staticRegexReplace: (input: import("@tensorflow/tfjs-core/dist/types").TensorLike | import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>, pattern: string, rewrite: string, replaceGlobal?: boolean) => import("@tensorflow/tfjs-core/dist/tensor").Tensor<import("@tensorflow/tfjs-core/dist/types").Rank>;
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};
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export { image, linalg, losses, spectral, fused, signal, sparse, string };
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