#version 450 #include "generic_binary_head.comp" #include "types.comp" #extension GL_EXT_control_flow_attributes : enable #define BLOCK_SIZE 512 layout (constant_id = 1) const bool do_multiply = false; layout(local_size_x = BLOCK_SIZE, local_size_y = 1, local_size_z = 1) in; shared FLOAT_TYPE sum[BLOCK_SIZE]; void main() { const uint ncols = p.ne00; const uint nrows = gl_NumWorkGroups.x; const uint nchannels = gl_NumWorkGroups.y; const uint row = gl_WorkGroupID.x; const uint channel = gl_WorkGroupID.y; const uint samp = gl_WorkGroupID.z; const uint tid = gl_LocalInvocationID.x; const uint stride_row = p.nb01; const uint stride_channel = p.nb02; const uint stride_sample = p.nb03; uint32_t a_offset = samp*stride_sample + channel*stride_channel + row*stride_row + get_aoffset(); uint32_t b_offset = src1_idx(0, row, channel, samp) + get_boffset(); uint32_t d_offset = ((samp*nchannels + channel)*nrows + row)*ncols + get_doffset(); sum[tid] = FLOAT_TYPE(0.0f); // partial sum for thread in warp [[unroll]] for (uint col = tid; col < ncols; col += BLOCK_SIZE) { const FLOAT_TYPE xi = FLOAT_TYPE(data_a[a_offset + col]); sum[tid] += xi * xi; } // sum up partial sums and write back result barrier(); [[unroll]] for (int s = BLOCK_SIZE / 2; s > 0; s >>= 1) { if (tid < s) { sum[tid] += sum[tid + s]; } barrier(); } const FLOAT_TYPE mean = sum[0] / FLOAT_TYPE(ncols); const FLOAT_TYPE scale = inversesqrt(mean + FLOAT_TYPE(p.param1)); if (do_multiply) { [[unroll]] for (uint col = tid; col < ncols; col += BLOCK_SIZE) { data_d[d_offset + col] = D_TYPE(scale * FLOAT_TYPE(data_a[a_offset + col]) * FLOAT_TYPE(data_b[b_offset + col])); } } else { [[unroll]] for (uint col = tid; col < ncols; col += BLOCK_SIZE) { data_d[d_offset + col] = D_TYPE(scale * FLOAT_TYPE(data_a[a_offset + col])); } } }