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[js] small fix to workaround formatter (#19400)

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### Description
Rename shader variable names to snake_case naming and also to avoid
formatter behaving inconsistently in win/linux.
This commit is contained in:
Yulong Wang 2024-02-20 17:23:01 -08:00 committed by GitHub
parent 97ff17c2cb
commit 3fe2c137ee
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GPG key ID: B5690EEEBB952194
1 changed files with 9 additions and 9 deletions
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18
js/web/lib/wasm/jsep/webgpu/ops/layer-norm.ts
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@ -85,28 +85,28 @@ const createLayerNormProgramInfo =
${shaderHelper.mainStart()} ${shaderHelper.mainStart()}
${shaderHelper.guardAgainstOutOfBoundsWorkgroupSizes('uniforms.norm_count')} ${shaderHelper.guardAgainstOutOfBoundsWorkgroupSizes('uniforms.norm_count')}
let offset = global_idx * uniforms.norm_size_vectorized; let offset = global_idx * uniforms.norm_size_vectorized;
var meanVector = ${fillVector('f32', components)}; var mean_vector = ${fillVector('f32', components)};
var meanSquareVector = ${fillVector('f32', components)}; var mean_square_vector = ${fillVector('f32', components)};
for (var h: u32 = 0u; h < uniforms.norm_size_vectorized; h++) { for (var h: u32 = 0u; h < uniforms.norm_size_vectorized; h++) {
let value = ${castToF32(dataType, components, 'x[h + offset]')}; let value = ${castToF32(dataType, components, 'x[h + offset]')};
meanVector += value; mean_vector += value;
meanSquareVector += value * value; mean_square_vector += value * value;
} }
let mean = ${sumVector('meanVector', components)} / uniforms.norm_size; let mean = ${sumVector('mean_vector', components)} / uniforms.norm_size;
let invStdDev = let inv_std_dev = inverseSqrt(${
inverseSqrt(${sumVector('meanSquareVector', components)} / uniforms.norm_size - mean * mean + uniforms.epsilon); sumVector('mean_square_vector', components)} / uniforms.norm_size - mean * mean + uniforms.epsilon);
for (var j: u32 = 0; j < uniforms.norm_size_vectorized; j++) { for (var j: u32 = 0; j < uniforms.norm_size_vectorized; j++) {
let f32input = ${castToF32(dataType, components, 'x[j + offset]')}; let f32input = ${castToF32(dataType, components, 'x[j + offset]')};
let f32scale = ${castToF32(dataType, components, 'scale[j]')}; let f32scale = ${castToF32(dataType, components, 'scale[j]')};
output[j + offset] = ${variables[0].type.value}((f32input - mean) * invStdDev * f32scale output[j + offset] = ${variables[0].type.value}((f32input - mean) * inv_std_dev * f32scale
${bias ? `+ ${castToF32(dataType, components, 'bias[j]')}` : ''} ${bias ? `+ ${castToF32(dataType, components, 'bias[j]')}` : ''}
); );
} }
${hasMeanDataOutput ? 'mean_data_output[global_idx] = mean' : ''}; ${hasMeanDataOutput ? 'mean_data_output[global_idx] = mean' : ''};
${hasInvStdOutput ? 'inv_std_output[global_idx] = invStdDev' : ''}; ${hasInvStdOutput ? 'inv_std_output[global_idx] = inv_std_dev' : ''};
}`; }`;
}; };
const outputs = [{dims: outputShape, dataType: inputs[0].dataType}]; const outputs = [{dims: outputShape, dataType: inputs[0].dataType}];