// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.

import {Tensor} from '../../../tensor';
import {ShapeUtil} from '../../../util';
import {getGlsl} from '../glsl-source';
import {WebGLInferenceHandler} from '../inference-handler';
import {ProgramInfo, ProgramInfoLoader, ProgramMetadata, TextureType} from '../types';

import {unpackFromChannel} from './packing-utils';

const createPackedReshape3DProgramMetadata = (outputShape3D: readonly number[]) =>
    ({name: 'Reshape (packed)', inputTypes: [TextureType.packed], inputNames: ['A'], cacheHint: `${outputShape3D}`});

const createPackedReshape3DProgramInfo =
    (handler: WebGLInferenceHandler, input3D: Tensor, metadata: ProgramMetadata, outputShape3D: readonly number[]):
        ProgramInfo => {
          const inputShape3D = input3D.dims as [number, number, number];
          const squeezedOutputShape = outputShape3D as [number, number, number];

          let mainLoop = '';
          for (let i = 0; i < 4; i++) {
            let outputCoords = '';
            switch (i) {
              case 0:
                outputCoords = 'outputCoords = rc;';
                break;
              case 1:
                outputCoords = 'outputCoords = ivec3(rc.x, rc.y+1, rc.z);';
                break;
              case 2:
                outputCoords = 'outputCoords = ivec3(rc.x, rc.y, rc.z+1);';
                break;
              case 3:
                outputCoords = 'outputCoords = ivec3(rc.x, rc.y+1, rc.z+1);';
                break;
              default:
                throw new Error();
            }

            mainLoop += `
        ${outputCoords}
        ${i > 0 ? 'if(outputCoords.y < rows && outputCoords.z < cols){' : ''}
          int flattenedIndex = getFlattenedIndex(outputCoords);

          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flattenedIndex);
          vec2 innerDims = vec2(float(inputRC.y),float(inputRC.z));

          result[${i}] = getChannel(getA(inputRC.x, inputRC.y, inputRC.z), innerDims);

        ${i > 0 ? '}' : ''}
      `;
          }
          const glsl = getGlsl(handler.session.backend.glContext.version);

          const shaderSource = `
      ${getReshapedInputCoords(inputShape3D)}
      ${getFlattenedIndexFrom3D(squeezedOutputShape)}
      ${unpackFromChannel()}

      void main() {
        ivec3 rc = getOutputCoords();

        vec4 result = vec4(0.0);

        ivec3 outputCoords;
        int rows = ${squeezedOutputShape[2]};
        int cols = ${squeezedOutputShape[1]};

        ${mainLoop}
        ${glsl.output} = result;
      }
    `;

          return {
            ...metadata,
            output: {dims: squeezedOutputShape, type: input3D.type, textureType: TextureType.packed},
            shaderSource,
            hasMain: true
          };
        };

export const createPackedReshape3DProgramInfoLoader =
    (handler: WebGLInferenceHandler, input3D: Tensor, outputShape3D: readonly number[]): ProgramInfoLoader => {
      const metadata = createPackedReshape3DProgramMetadata(outputShape3D);
      return {...metadata, get: () => createPackedReshape3DProgramInfo(handler, input3D, metadata, outputShape3D)};
    };

export function processDims3D(shape: ArrayLike<number>): [number, number, number] {
  if (shape.length === 0) {
    return [1, 1, 1];
  }
  // TODO: squeeze other shapes to 2D case
  let batch = 1;
  for (let i = 0; i < shape.length - 2; ++i) {
    batch *= shape[i];
  }
  return [batch, shape.length > 1 ? shape[shape.length - 2] : 1, shape[shape.length - 1]];
}

// For packed reshape, we need to re-arrange texel data for output shape.
// Our pack is designed to pack a 2x2 tile in last h and w dimension, so
// for the reshaped new tensor, we just need to re-arrange the last h and
// w dimension. For any shape that is not in 3D, i.e. [batch, W, H], we
// first convert it to 3D by collapsing other dimension to batch dim, then
// process with the last two dimensions.
// Note: we only need the shape tensor to calculate output shape, so the
// content in shape tensor is never uploaded to GPU. It is always kept in CPU.
// TODO: optimize the algorithm -- in some cases, if the last two dims are
// the same between input shape and output shape, the packed reshape can be
// treated as no-op.
export function isReshapeCheap(dims: readonly number[], reshapedDims: readonly number[]) {
  let isCheapReshape = false;
  if (dims.length === 0 || reshapedDims.length === 0) {  // scalar
    isCheapReshape = true;
  } else if (dims.length < 2 || reshapedDims.length < 2) {  // 1D
    isCheapReshape = dims[dims.length - 1] === reshapedDims[reshapedDims.length - 1];
  } else {  // 2D +
    isCheapReshape = dims[dims.length - 1] === reshapedDims[reshapedDims.length - 1] &&
        dims[dims.length - 2] === reshapedDims[reshapedDims.length - 2];
  }

  return isCheapReshape;
}

function getReshapedInputCoords(shape: [number, number, number]): string {
  const strides = ShapeUtil.computeStrides(shape);
  const coords = ['b', 'r', 'c'];
  const index = 'index';
  const coordsFromIndexSnippet = strides
                                     .map((stride, i) => {
                                       const line1 = `int ${coords[i]} = ${index} / ${stride}`;
                                       const line2 = i === strides.length - 1 ?
                                           `int ${coords[i + 1]} = ${index} - ${coords[i]} * ${stride}` :
                                           `index -= ${coords[i]} * ${stride}`;
                                       return `${line1}; ${line2};`;
                                     })
                                     .join('');

  return `
    ivec3 inputCoordsFromReshapedOutCoords(int index) {
      ${coordsFromIndexSnippet}
      return ivec3(b, r, c);
    }
  `;
}

function getFlattenedIndexFrom3D(shape: [number, number, number]): string {
  const strides = ShapeUtil.computeStrides(shape);

  return `
  int getFlattenedIndex(ivec3 coords) {
    // reverse y, z order
    return coords.x * ${strides[0]} + coords.z * ${strides[1]} + coords.y;
  }
`;
}