/**
 * @license
 * Copyright 2020 Google LLC. 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.
 * =============================================================================
 */
import { backend_util, Sum, util } from '@tensorflow/tfjs-core';
import { assertNotComplex } from '../cpu_util';
import { zeros } from '../utils/zeros_impl';
import { cast } from './Cast';
import { identity } from './Identity';
import { reshape } from './Reshape';
import { transpose } from './Transpose';
export function sum(args) {
    const { inputs, backend, attrs } = args;
    const { x } = inputs;
    const { axis, keepDims } = attrs;
    assertNotComplex(x, 'sum');
    let $x;
    if (x.dtype === 'bool') {
        $x = cast({ inputs: { x }, backend, attrs: { dtype: 'int32' } });
    }
    else {
        $x = identity({ inputs: { x }, backend });
    }
    const xRank = $x.shape.length;
    const axes = util.parseAxisParam(axis, $x.shape);
    const permutation = backend_util.getAxesPermutation(axes, xRank);
    let reductionAxes = axes;
    let permutedX = $x;
    if (permutation != null) {
        permutedX =
            transpose({ inputs: { x: $x }, backend, attrs: { perm: permutation } });
        reductionAxes = backend_util.getInnerMostAxes(reductionAxes.length, xRank);
    }
    backend_util.assertAxesAreInnerMostDims('sum', reductionAxes, permutedX.shape.length);
    const [outShape, reduceShape] = backend_util.computeOutAndReduceShapes(permutedX.shape, reductionAxes);
    const resultDtype = backend_util.upcastType(permutedX.dtype, 'int32');
    let result = zeros(backend, outShape, resultDtype);
    const reduceSize = util.sizeFromShape(reduceShape);
    const vals = backend.data.get(result.dataId).values;
    const aVals = backend.data.get(permutedX.dataId).values;
    for (let i = 0; i < vals.length; ++i) {
        const offset = i * reduceSize;
        let sum = 0;
        for (let j = 0; j < reduceSize; ++j) {
            sum += aVals[offset + j];
        }
        vals[i] = sum;
    }
    if (keepDims) {
        const newShape = backend_util.expandShapeToKeepDim(result.shape, axes);
        const oldResult = result;
        result = reshape({ inputs: { x: result }, backend, attrs: { shape: newShape } });
        backend.disposeIntermediateTensorInfo(oldResult);
    }
    backend.disposeIntermediateTensorInfo($x);
    if (permutation != null) {
        backend.disposeIntermediateTensorInfo(permutedX);
    }
    return result;
}
export const sumConfig = {
    kernelName: Sum,
    backendName: 'cpu',
    kernelFunc: sum
};
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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {backend_util, KernelConfig, KernelFunc, Sum, SumAttrs, SumInputs, TensorInfo, TypedArray, util} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\nimport {assertNotComplex} from '../cpu_util';\nimport {zeros} from '../utils/zeros_impl';\nimport {cast} from './Cast';\nimport {identity} from './Identity';\nimport {reshape} from './Reshape';\nimport {transpose} from './Transpose';\n\nexport function sum(\n    args: {inputs: SumInputs, backend: MathBackendCPU, attrs: SumAttrs}):\n    TensorInfo {\n  const {inputs, backend, attrs} = args;\n  const {x} = inputs;\n  const {axis, keepDims} = attrs;\n\n  assertNotComplex(x, 'sum');\n\n  let $x;\n  if (x.dtype === 'bool') {\n    $x = cast({inputs: {x}, backend, attrs: {dtype: 'int32'}});\n  } else {\n    $x = identity({inputs: {x}, backend});\n  }\n\n  const xRank = $x.shape.length;\n  const axes = util.parseAxisParam(axis, $x.shape);\n  const permutation = backend_util.getAxesPermutation(axes, xRank);\n\n  let reductionAxes = axes;\n  let permutedX = $x;\n  if (permutation != null) {\n    permutedX =\n        transpose({inputs: {x: $x}, backend, attrs: {perm: permutation}});\n    reductionAxes = backend_util.getInnerMostAxes(reductionAxes.length, xRank);\n  }\n\n  backend_util.assertAxesAreInnerMostDims(\n      'sum', reductionAxes, permutedX.shape.length);\n\n  const [outShape, reduceShape] =\n      backend_util.computeOutAndReduceShapes(permutedX.shape, reductionAxes);\n  const resultDtype = backend_util.upcastType(permutedX.dtype, 'int32');\n  let result = zeros(backend, outShape, resultDtype);\n  const reduceSize = util.sizeFromShape(reduceShape);\n  const vals = backend.data.get(result.dataId).values as TypedArray;\n\n  const aVals = backend.data.get(permutedX.dataId).values as TypedArray;\n  for (let i = 0; i < vals.length; ++i) {\n    const offset = i * reduceSize;\n    let sum = 0;\n    for (let j = 0; j < reduceSize; ++j) {\n      sum += aVals[offset + j];\n    }\n    vals[i] = sum;\n  }\n\n  if (keepDims) {\n    const newShape = backend_util.expandShapeToKeepDim(result.shape, axes);\n    const oldResult = result;\n    result = reshape({inputs: {x: result}, backend, attrs: {shape: newShape}});\n    backend.disposeIntermediateTensorInfo(oldResult);\n  }\n\n  backend.disposeIntermediateTensorInfo($x);\n\n  if (permutation != null) {\n    backend.disposeIntermediateTensorInfo(permutedX);\n  }\n\n  return result;\n}\n\nexport const sumConfig: KernelConfig = {\n  kernelName: Sum,\n  backendName: 'cpu',\n  kernelFunc: sum as unknown as KernelFunc\n};\n"]}