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$assert DATATYPE in ["F32", "QC4", "QC8"] |
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$assert ACTIVATION in ["LINEAR", "RELU", "MINMAX"] |
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$assert ACTIVATION != "LINEAR" or not WASM |
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$if DATATYPE == "QC4": |
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$assert ACTIVATION == "MINMAX" |
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$assert NR % 2 == 0 |
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#include <assert.h> |
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#include <xnnpack/gemm.h> |
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#include <xnnpack/math.h> |
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$if DATATYPE in ["QC4", "QC8"] and NR % 4 != 0: |
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#include <xnnpack/unaligned.h> |
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$DATATYPE_SPEC = {"F32": "f32", "QC8": "f32_qc8w", "QC4": "f32_qc4w"}[DATATYPE] |
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$MIN_F32 = "__builtin_wasm_min_f32" if WASM else "math_min_f32" |
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$MAX_F32 = "__builtin_wasm_max_f32" if WASM else "math_max_f32" |
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$KERNEL = "gemminc" if INC else "gemm" |
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$SUFFIX = {"LINEAR": "", "RELU": "_relu", "MINMAX": "_minmax"}[ACTIVATION] |
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$PARAMS = {"LINEAR": "xnn_f32_default_params", "RELU": "xnn_f32_relu_params", "MINMAX": "xnn_f32_minmax_params"}[ACTIVATION] |
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void xnn_${DATATYPE_SPEC}_${KERNEL}${SUFFIX}_ukernel_${MR}x${NR}__${"wasm" if WASM else "scalar"}( |
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size_t mr, |
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size_t nc, |
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size_t kc, |
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const float* restrict a, |
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size_t a_stride, |
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$if DATATYPE == "F32": |
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const float* restrict w, |
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$else: |
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const void* restrict w, |
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float* restrict c, |
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size_t cm_stride, |
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size_t cn_stride, |
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$if INC: |
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const float* restrict acc, |
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$if DATATYPE == "QC4": |
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const union xnn_f32_qc4w_minmax_params params[restrict XNN_MIN_ELEMENTS(1)]) |
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$else: |
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const union ${PARAMS} params[restrict XNN_MIN_ELEMENTS(1)]) |
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{ |
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assert(mr != 0); |
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assert(mr <= ${MR}); |
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assert(nc != 0); |
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assert(kc != 0); |
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assert(kc % sizeof(float) == 0); |
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assert(a != NULL); |
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assert(w != NULL); |
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assert(c != NULL); |
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$if INC: |
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assert(acc != NULL); |
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const float* a0 = a; |
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float* c0 = c; |
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$for M in range(1, MR): |
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const float* a${M} = (const float*) ((uintptr_t) a${M-1} + a_stride); |
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float* c${M} = (float*) ((uintptr_t) c${M-1} + cm_stride); |
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$if M % 2 == 0: |
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if XNN_UNPREDICTABLE(mr <= ${M}) { |
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a${M} = a${M-1}; |
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c${M} = c${M-1}; |
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} |
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$elif M + 1 == MR: |
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if XNN_UNPREDICTABLE(mr != ${M+1}) { |
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a${M} = a${M-1}; |
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c${M} = c${M-1}; |
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} |
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$else: |
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if XNN_UNPREDICTABLE(mr < ${M+1}) { |
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a${M} = a${M-1}; |
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c${M} = c${M-1}; |
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} |
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$if ACTIVATION == "MINMAX": |
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const float vmin = params->scalar.min; |
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const float vmax = params->scalar.max; |
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$if DATATYPE == "QC4": |
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const int32_t vminus_kernel_zero_point = params->scalar.minus_kernel_zero_point[0]; |
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do { |
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$if INC: |
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$for M in range(MR): |
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$for N in range(NR): |
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float vacc${M}${N} = acc[${M*NR+N}]; |
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acc += ${MR*NR}; |
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$else: |
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$if DATATYPE == "F32": |
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$for N in range(NR): |
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float vacc0${N} = w[${N}]; |
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w += ${NR}; |
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$else: |
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$for N in range(NR): |
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$if NR % 4 == 0: |
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float vacc0${N} = ((const float*)w)[${N}]; |
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$else: |
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float vacc0${N} = unaligned_indexed_load_f32(w, ${N}); |
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w = (const float*) w + ${NR}; |
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$for M in range(1, MR): |
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$for N in range(NR): |
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float vacc${M}${N} = vacc0${N}; |
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size_t k = kc; |
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$if DATATYPE == "QC4": |
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for (; k >= 2 * sizeof(float); k -= 2 * sizeof(float)) { |
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$for M in range(MR): |
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const float va${M}0 = *a${M}++; |
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const float va${M}1 = *a${M}++; |
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$for N in range(NR): |
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const uint8_t vbi${N} = ((const uint8_t*) w)[${N}]; |
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$for N in range(NR): |
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const float vb${N}0 = (float) ((int32_t) (vbi${N} & 0xF) + vminus_kernel_zero_point); |
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$for N in range(NR): |
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const float vb${N}1 = (float) ((int32_t) (vbi${N} >> 4) + vminus_kernel_zero_point); |
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w = (const int8_t*) w + ${NR}; |
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$for M in range(MR): |
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$for N in range(NR): |
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vacc${M}${N} = math_muladd_f32(va${M}0, vb${N}0, vacc${M}${N}); |
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$for M in range(MR): |
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$for N in range(NR): |
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vacc${M}${N} = math_muladd_f32(va${M}1, vb${N}1, vacc${M}${N}); |
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} |
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if XNN_UNLIKELY(k != 0) { |
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$for M in range(MR): |
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const float va${M} = *a${M}++; |
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$for N in range(NR): |
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const uint8_t vbi${N} = ((const uint8_t*) w)[${N}]; |
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$for N in range(NR): |
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const float vb${N} = (float) ((int32_t) vbi${N} + vminus_kernel_zero_point); |
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w = (const int8_t*) w + ${NR}; |
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$for M in range(MR): |
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$for N in range(NR): |
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vacc${M}${N} = math_muladd_f32(va${M}, vb${N}, vacc${M}${N}); |
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} |
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$else: |
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do { |
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$for M in range(MR): |
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const float va${M} = *a${M}++; |
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$if DATATYPE == "F32": |
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$for N in range(NR): |
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const float vb${N} = w[${N}]; |
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w += ${NR}; |
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$elif DATATYPE == "QC8": |
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$for N in range(NR): |
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const float vb${N} = (float) ((const int8_t*) w)[${N}]; |
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w = (const int8_t*) w + ${NR}; |
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$for M in range(MR): |
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$for N in range(NR): |
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vacc${M}${N} = math_muladd_f32(va${M}, vb${N}, vacc${M}${N}); |
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k -= sizeof(float); |
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} while (k != 0); |
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$if DATATYPE in ["QC8", "QC4"]: |
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$for N in range(NR): |
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$if NR % 4 == 0: |
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const float vscale${N} = ((const float*)w)[${N}]; |
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$else: |
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const float vscale${N} = unaligned_indexed_load_f32(w, ${N}); |
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w = (const float*) w + ${NR}; |
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$for N in range(NR): |
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$for M in range(MR): |
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vacc${M}${N} *= vscale${N}; |
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$if ACTIVATION == "MINMAX": |
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$for M in range(MR): |
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$for N in range(NR): |
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vacc${M}${N} = ${MAX_F32}(vacc${M}${N}, vmin); |
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$for M in range(MR): |
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$for N in range(NR): |
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vacc${M}${N} = ${MIN_F32}(vacc${M}${N}, vmax); |
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$elif ACTIVATION == "RELU": |
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$for M in range(MR): |
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$for N in range(NR): |
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vacc${M}${N} = ${MAX_F32}(vacc${M}${N}, 0.0f); |
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if XNN_LIKELY(nc >= ${NR}) { |
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$for M in reversed(range(MR)): |
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$for N in range(NR): |
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c${M}[${N}] = vacc${M}${N}; |
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c${M} = (float*) ((uintptr_t) c${M} + cn_stride); |
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$for M in reversed(range(MR)): |
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a${M} = (const void*) ((uintptr_t) a${M} - kc); |
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nc -= ${NR}; |
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} else { |
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$for LOG2N in reversed(range(NR.bit_length() - 1)): |
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if (nc & ${1 << LOG2N}) { |
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$for M in reversed(range(MR)): |
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$for N in range(1 << LOG2N): |
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c${M}[${N}] = vacc${M}${N}; |
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$if LOG2N != 0: |
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$for N in range(NR - (1 << LOG2N) - 1): |
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vacc${M}${N} = vacc${M}${N + (1 << LOG2N)}; |
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c${M} += ${1 << LOG2N}; |
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} |
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nc = 0; |
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} |
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} while (nc != 0); |
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} |
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