function conv2dTranspose(outputShape, inputShape, indexMapShape, useBias, hasFragments) {
  const addBias = useBias ? `sum += texelFetch(bias, ivec2(out_x, 0), 0).r;` : ''

  const adjustIndicesForFragments = hasFragments
    ? `int fragmentIndex = int(floor(float(rowIndex) / float(${inputShape[0]})));
      rowIndex = int(mod(float(rowIndex), float(${inputShape[0]})));
      colIndex += fragmentIndex * ${inputShape[1]};`
    : ''

  const source = `#version 300 es
precision highp float;
precision highp isampler2D;

in vec2 outTex;
uniform sampler2D matMulResult;
uniform isampler2D indexMap;
uniform sampler2D bias;
out vec4 outColor;

void main() {
  int out_y = int(float(${outputShape[0]}) * outTex.y);
  int out_x = int(float(${outputShape[1]}) * outTex.x);

  float sum = 0.;
  for (int n = 0; n < ${indexMapShape[1]}; ++n) {
    int index = texelFetch(indexMap, ivec2(n, out_y), 0).r;
    if (index != -1) {
      int rowIndex = int(floor(float(index) / float(${inputShape[1]})));
      int colIndex = int(mod(float(index), float(${inputShape[1]})));
      ${adjustIndicesForFragments}
      sum += texelFetch(matMulResult, ivec2(colIndex + out_x, rowIndex), 0).r;
    }
  }

  ${addBias}
  outColor = vec4(sum);
}  
`

  return source
}
Create GLSL program for convolutional.Conv2DTranspose layer

@param {number[]} outputShape
@param {number[]} inputShape
@param {number[]} indexMapShape
@param {boolean} useBias
@param {boolean} [hasFragments]