// Based on Algorithm 2 of Bitonic Top K, ref:
// https://anilshanbhag.in/static/papers/gputopk_sigmod18.pdf
// The original algorithm is based on computing the top K only, however
// since for TFJS we require the indices of the top K values as well then the
// algorithm found here is a bit modified. Rather than producing the values
// at each step, the indices containing the top K are generated instead.
// The output values are not generated to reduce the number of outputs in the
// GPU, the values can easily be retrieved from the indices using a gather
// op.
export class SwapProgram {
    /**
     * @param shape desired output shape (can be larger than input shape, output
     *                                    will be padded with -Infinity)
     */
    constructor(shape) {
        this.variableNames = ['x', 'indices'];
        // |n| Size of the original input of TopK.
        // |firstPass|indicates if this is the first time swap is being used which
        // means no indices input containing the top K is present yet.
        // |inc| Swaps pairs of indices (0, inc), (1, inc + 1), (2, inc + 2) ...
        this.customUniforms = [
            { name: 'n', type: 'int' },
            { name: 'firstPass', type: 'int' },
            { name: 'negativeInf', type: 'float' },
            { name: 'dir', type: 'int' },
            { name: 'inc', type: 'int' }
        ];
        this.outputShape = shape;
        this.userCode = `
       void main() {
         ivec2 coords = getOutputCoords();
         int batch = coords[0];
         int elemIdx = coords[1];

         // We compare elements pair-wise within a group of size 2 * inc.
         // The comparing rule for each group alternates between ascending
         // and descending. Within each group, we compare each pair at
         // positions i and i+inc. To decide whether an element at position i
         // is x0 or x1, we mod it by 2 * inc, if the result is smaller than
         // inc, it is in the first half of the group, we denote it as x0,
         // otherwise we denote it as x1.
         // For example, as shown in the Bitonic top K paper referenced above,
         // Figure5(a) shows that element[1] is in the
         // second half of the group when group size is 2, but it is in the
         // first half of the group when group size is 4.

         bool isFirstInPair = imod(elemIdx, 2 * inc) < inc;
         int i = isFirstInPair ? elemIdx : elemIdx - inc;

         int i0 = firstPass == 1 ? i : int(getIndices(batch, i));
         int i1 = firstPass == 1 ? i + inc : int(getIndices(batch, i + inc));
         float x0 = i0 < n ? getX(batch, i0) : negativeInf;
         float x1 = i1 < n ? getX(batch, i1) : negativeInf;

         // Denotes which direction indices are in (ascending or descending).
         bool reverse = imod(elemIdx, 2 * dir) >= dir;
         bool isGreater = x0 > x1 || (x0 == x1 && i1 > i0);
         if (reverse == isGreater) { // Elements in opposite order of direction
           int iTemp = i0;
           i0 = i1;
           i1 = iTemp;
         }
         if (isFirstInPair) {
            setOutput(float(i0));
         } else {
            setOutput(float(i1));
         }
       }
     `;
    }
}
export class MergeProgram {
    /**
     * @param shape desired output shape (must be half of the input size)
     */
    constructor(shape) {
        this.variableNames = ['x', 'indices'];
        // |n| Size of the original input of TopK
        // |firstPass| indicates if this is the first time swap is being used which
        // means no indices input containing the top K is present yet.
        // |k| Top k elements desired
        this.customUniforms = [
            { name: 'n', type: 'int' },
            { name: 'firstPass', type: 'int' },
            { name: 'k', type: 'int' }
        ];
        this.outputShape = shape;
        this.userCode = `
    void main() {
         // Takes max of indices (0, k), (1, k + 1), (2, k + 2) ...
         ivec2 coords = getOutputCoords();
         int batch = coords[0];
         int elemIdx = coords[1];

         // The output size is half of the previous size.
         // If the previous sequence is | | | | _ _ _ _  | | | |  _ _ _ _ (k=4),
         // we only need to output the indices at positions |, the indices at
         // positions _ can be thrown away, see Figure5(b) After Phase 2
         // (Merge phase) in the Bitonic Top K paper referenced above.
         // For example, the paper shows we only need to output the orange bars.
         // The output sequence should look like this | | | | | | | |.
         // Because the sequence is halved, to map the output index back
         // to the previous sequence to find the corresponding value,
         // we need to double the index. When we double the index,
         // we basically interpolate a position, so 2i looks like
         // | _ | _ | _ | _ | _ | _ | _. We move the | to the first k position
         // of each 2k positions by - elemIdx % k. E.g. for output at
         // index 4,5,6,7, we want to get the corresponding element at
         // original index 8,9,10,11, for output at index 8,9,10,11,
         // we want to get the corresponding element at original index
         // 16,17,18,19, so on and so forth.

         int i = elemIdx < k ? elemIdx : (elemIdx * 2 - imod(elemIdx, k));
         int i0 = firstPass == 1 ? i : int(getIndices(batch, i));
         int i1 = firstPass == 1 ? i + k : int(getIndices(batch, i + k));

         float x0 = getX(batch, i0);
         float x1 = i1 < n ? getX(batch, i1) : x0;

         setOutput(x0 >= x1 ? float(i0) : float(i1));
       }
     `;
    }
}
//# sourceMappingURL=data:application/json;base64,{"version":3,"file":"top_k_gpu.js","sourceRoot":"","sources":["../../../../../tfjs-backend-webgl/src/top_k_gpu.ts"],"names":[],"mappings":"AAmBA,8CAA8C;AAC9C,6DAA6D;AAC7D,uEAAuE;AACvE,6EAA6E;AAC7E,2EAA2E;AAC3E,wEAAwE;AACxE,6EAA6E;AAC7E,0EAA0E;AAC1E,MAAM;AACN,MAAM,OAAO,WAAW;IAgBtB;;;OAGG;IACH,YAAY,KAAe;QAnB3B,kBAAa,GAAG,CAAC,GAAG,EAAE,SAAS,CAAC,CAAC;QAGjC,0CAA0C;QAC1C,0EAA0E;QAC1E,8DAA8D;QAC9D,wEAAwE;QACxE,mBAAc,GAAG;YACf,EAAC,IAAI,EAAE,GAAG,EAAE,IAAI,EAAE,KAAoB,EAAC;YACvC,EAAC,IAAI,EAAE,WAAW,EAAE,IAAI,EAAE,KAAoB,EAAC;YAC/C,EAAC,IAAI,EAAE,aAAa,EAAE,IAAI,EAAE,OAAsB,EAAC;YACnD,EAAC,IAAI,EAAE,KAAK,EAAE,IAAI,EAAE,KAAoB,EAAC;YACzC,EAAC,IAAI,EAAE,KAAK,EAAE,IAAI,EAAE,KAAoB,EAAC;SAC1C,CAAC;QAOA,IAAI,CAAC,WAAW,GAAG,KAAK,CAAC;QAEzB,IAAI,CAAC,QAAQ,GAAG;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;MAwCd,CAAC;IACL,CAAC;CACF;AAED,MAAM,OAAO,YAAY;IAcvB;;OAEG;IACH,YAAY,KAAe;QAhB3B,kBAAa,GAAG,CAAC,GAAG,EAAE,SAAS,CAAC,CAAC;QAGjC,yCAAyC;QACzC,2EAA2E;QAC3E,8DAA8D;QAC9D,6BAA6B;QAC7B,mBAAc,GAAG;YACf,EAAC,IAAI,EAAE,GAAG,EAAE,IAAI,EAAE,KAAoB,EAAC;YACvC,EAAC,IAAI,EAAE,WAAW,EAAE,IAAI,EAAE,KAAoB,EAAC;YAC/C,EAAC,IAAI,EAAE,GAAG,EAAE,IAAI,EAAE,KAAoB,EAAC;SACxC,CAAC;QAMA,IAAI,CAAC,WAAW,GAAG,KAAK,CAAC;QAEzB,IAAI,CAAC,QAAQ,GAAG;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;MAkCd,CAAC;IACL,CAAC;CACF","sourcesContent":["/**\n * @license\n * Copyright 2021 Google LLC. 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 */\nimport {GPGPUProgram} from './gpgpu_math';\nimport {UniformType} from './shader_compiler';\n\n// Based on Algorithm 2 of Bitonic Top K, ref:\n// https://anilshanbhag.in/static/papers/gputopk_sigmod18.pdf\n// The original algorithm is based on computing the top K only, however\n// since for TFJS we require the indices of the top K values as well then the\n// algorithm found here is a bit modified. Rather than producing the values\n// at each step, the indices containing the top K are generated instead.\n// The output values are not generated to reduce the number of outputs in the\n// GPU, the values can easily be retrieved from the indices using a gather\n// op.\nexport class SwapProgram implements GPGPUProgram {\n  variableNames = ['x', 'indices'];\n  outputShape: number[];\n  userCode: string;\n  // |n| Size of the original input of TopK.\n  // |firstPass|indicates if this is the first time swap is being used which\n  // means no indices input containing the top K is present yet.\n  // |inc| Swaps pairs of indices (0, inc), (1, inc + 1), (2, inc + 2) ...\n  customUniforms = [\n    {name: 'n', type: 'int' as UniformType},\n    {name: 'firstPass', type: 'int' as UniformType},\n    {name: 'negativeInf', type: 'float' as UniformType},\n    {name: 'dir', type: 'int' as UniformType},\n    {name: 'inc', type: 'int' as UniformType}\n  ];\n\n  /**\n   * @param shape desired output shape (can be larger than input shape, output\n   *                                    will be padded with -Infinity)\n   */\n  constructor(shape: number[]) {\n    this.outputShape = shape;\n\n    this.userCode = `\n       void main() {\n         ivec2 coords = getOutputCoords();\n         int batch = coords[0];\n         int elemIdx = coords[1];\n\n         // We compare elements pair-wise within a group of size 2 * inc.\n         // The comparing rule for each group alternates between ascending\n         // and descending. Within each group, we compare each pair at\n         // positions i and i+inc. To decide whether an element at position i\n         // is x0 or x1, we mod it by 2 * inc, if the result is smaller than\n         // inc, it is in the first half of the group, we denote it as x0,\n         // otherwise we denote it as x1.\n         // For example, as shown in the Bitonic top K paper referenced above,\n         // Figure5(a) shows that element[1] is in the\n         // second half of the group when group size is 2, but it is in the\n         // first half of the group when group size is 4.\n\n         bool isFirstInPair = imod(elemIdx, 2 * inc) < inc;\n         int i = isFirstInPair ? elemIdx : elemIdx - inc;\n\n         int i0 = firstPass == 1 ? i : int(getIndices(batch, i));\n         int i1 = firstPass == 1 ? i + inc : int(getIndices(batch, i + inc));\n         float x0 = i0 < n ? getX(batch, i0) : negativeInf;\n         float x1 = i1 < n ? getX(batch, i1) : negativeInf;\n\n         // Denotes which direction indices are in (ascending or descending).\n         bool reverse = imod(elemIdx, 2 * dir) >= dir;\n         bool isGreater = x0 > x1 || (x0 == x1 && i1 > i0);\n         if (reverse == isGreater) { // Elements in opposite order of direction\n           int iTemp = i0;\n           i0 = i1;\n           i1 = iTemp;\n         }\n         if (isFirstInPair) {\n            setOutput(float(i0));\n         } else {\n            setOutput(float(i1));\n         }\n       }\n     `;\n  }\n}\n\nexport class MergeProgram implements GPGPUProgram {\n  variableNames = ['x', 'indices'];\n  outputShape: number[];\n  userCode: string;\n  // |n| Size of the original input of TopK\n  // |firstPass| indicates if this is the first time swap is being used which\n  // means no indices input containing the top K is present yet.\n  // |k| Top k elements desired\n  customUniforms = [\n    {name: 'n', type: 'int' as UniformType},\n    {name: 'firstPass', type: 'int' as UniformType},\n    {name: 'k', type: 'int' as UniformType}\n  ];\n\n  /**\n   * @param shape desired output shape (must be half of the input size)\n   */\n  constructor(shape: number[]) {\n    this.outputShape = shape;\n\n    this.userCode = `\n    void main() {\n         // Takes max of indices (0, k), (1, k + 1), (2, k + 2) ...\n         ivec2 coords = getOutputCoords();\n         int batch = coords[0];\n         int elemIdx = coords[1];\n\n         // The output size is half of the previous size.\n         // If the previous sequence is | | | | _ _ _ _  | | | |  _ _ _ _ (k=4),\n         // we only need to output the indices at positions |, the indices at\n         // positions _ can be thrown away, see Figure5(b) After Phase 2\n         // (Merge phase) in the Bitonic Top K paper referenced above.\n         // For example, the paper shows we only need to output the orange bars.\n         // The output sequence should look like this | | | | | | | |.\n         // Because the sequence is halved, to map the output index back\n         // to the previous sequence to find the corresponding value,\n         // we need to double the index. When we double the index,\n         // we basically interpolate a position, so 2i looks like\n         // | _ | _ | _ | _ | _ | _ | _. We move the | to the first k position\n         // of each 2k positions by - elemIdx % k. E.g. for output at\n         // index 4,5,6,7, we want to get the corresponding element at\n         // original index 8,9,10,11, for output at index 8,9,10,11,\n         // we want to get the corresponding element at original index\n         // 16,17,18,19, so on and so forth.\n\n         int i = elemIdx < k ? elemIdx : (elemIdx * 2 - imod(elemIdx, k));\n         int i0 = firstPass == 1 ? i : int(getIndices(batch, i));\n         int i1 = firstPass == 1 ? i + k : int(getIndices(batch, i + k));\n\n         float x0 = getX(batch, i0);\n         float x1 = i1 < n ? getX(batch, i1) : x0;\n\n         setOutput(x0 >= x1 ? float(i0) : float(i1));\n       }\n     `;\n  }\n}\n"]}