bics
/
actlib_dataflow_neuro
12
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

removed texel_singlecore: is never used, and is a simplification of dualcore

This commit is contained in:
alexmadison 2023-12-01 12:06:10 +01:00
parent d0717fbea8
commit a0480b0369
1 changed files with 0 additions and 82 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

82
dataflow_neuro/chips.act
View File

@ -300,88 +300,6 @@ defproc texel_core (avMx1of2<N_IN> in, out;
export template<pint N_IN, // Size of input data from outside world
N_NRN_X, N_NRN_Y, N_SYN_X, N_SYN_Y, // Number of neurons / synapses
NC_NRN_X, NC_NRN_Y, NC_SYN_X, NC_SYN_Y,
N_SYN_DLY_CFG,
N_NRN_MON_X, N_NRN_MON_Y, N_SYN_MON_X, N_SYN_MON_Y,
N_MON_AMZO_PER_SYN, N_MON_AMZO_PER_NRN, // Number of signals that each synapse outputs to be monitored.
N_FLAGS_PER_SYN, N_FLAGS_PER_NRN, // Number of signals that each nrn/syn recieves from the register.
N_BUFFERS,
N_LINE_PD_DLY, // Number of dummy delays to add line pull down
N_BD_DLY_CFG, N_BD_DLY_CFG2,
REG_NCA, REG_NCW, REG_M>
defproc texel_singlecore (bd<N_IN> in, out;
Mx1of2<REG_NCW> reg_data[REG_M];
// a1of1 synapses[N_SYN_X * N_SYN_Y];
// a1of1 neurons[N_NRN_X * N_NRN_Y];
bool! nrn_mon_x[N_NRN_MON_X], nrn_mon_y[N_NRN_MON_Y];
bool! syn_mon_x[N_SYN_MON_X], syn_mon_y[N_SYN_MON_Y];
bool? syn_mon_AMZI[N_SYN_X * N_MON_AMZO_PER_SYN], nrn_mon_AMZI[N_NRN_X * N_MON_AMZO_PER_NRN];
bool! syn_mon_AMZO[N_MON_AMZO_PER_SYN], nrn_mon_AMZO[N_MON_AMZO_PER_NRN];
bool! syn_flags_EFO[N_FLAGS_PER_SYN], nrn_flags_EFO[N_FLAGS_PER_NRN];
bool? bd_dly_cfg[N_BD_DLY_CFG], bd_dly_cfg2[N_BD_DLY_CFG2];
bool? loopback_en;
power supply;
bool? reset_B){
bool _reset_BX;
BUF_X12 reset_buf(.a = reset_B, .y = _reset_BX, .vdd = supply.vdd, .vss = supply.vss);
pint index = 0; // Just useful
bd2qdi<N_IN, N_BD_DLY_CFG, N_BD_DLY_CFG2> _bd2qdi(.in = in, .dly_cfg = bd_dly_cfg, .dly_cfg2 = bd_dly_cfg2,
.reset_B = _reset_BX, .supply = supply);
fifo<N_IN,N_BUFFERS> fifo_in2fork(.in = _bd2qdi.out, .reset_B = _reset_BX, .supply = supply);
fork<N_IN> _fork(.in = fifo_in2fork.out, .reset_B = _reset_BX, .supply = supply);
// Loopback
fifo<N_IN,N_BUFFERS> fifo_fork2drop(.in = _fork.out1, .reset_B = _reset_BX, .supply = supply);
dropper_static<N_IN, false> _loopback_dropper(.in = fifo_fork2drop.out, .cond = loopback_en,
.supply = supply);
fifo<N_IN,N_BUFFERS> fifo_drop2mrg(.in = _loopback_dropper.out, .reset_B = _reset_BX, .supply = supply);
// Onwards to core
fifo<N_IN,N_BUFFERS> fifo_fork2core(.in = _fork.out2, .reset_B = _reset_BX, .supply = supply);
texel_core<N_IN,N_NRN_X, N_NRN_Y, N_SYN_X, N_SYN_Y,NC_NRN_X, NC_NRN_Y, NC_SYN_X, NC_SYN_Y,N_SYN_DLY_CFG,N_NRN_MON_X, N_NRN_MON_Y, N_SYN_MON_X, N_SYN_MON_Y,N_MON_AMZO_PER_SYN, N_MON_AMZO_PER_NRN,N_FLAGS_PER_SYN, N_FLAGS_PER_NRN,N_BUFFERS,N_LINE_PD_DLY, REG_NCA, REG_NCW, REG_M>
core(.in = fifo_fork2core.out,
.reg_data = reg_data,
// .synapses = synapses,
// .neurons = neurons,
.nrn_mon_x = nrn_mon_x, .nrn_mon_y = nrn_mon_y,
.syn_mon_x = syn_mon_x, .syn_mon_y = syn_mon_y,
.syn_mon_AMZI = syn_mon_AMZI, .nrn_mon_AMZI = nrn_mon_AMZI,
.syn_mon_AMZO = syn_mon_AMZO, .nrn_mon_AMZO = nrn_mon_AMZO,
.syn_flags_EFO = syn_flags_EFO, .nrn_flags_EFO = nrn_flags_EFO,
.reset_B = _reset_BX,
.supply = supply
);
// qdi2bd
fifo<N_IN, N_BUFFERS> fifo_core2mrg(.in = core.out,
.reset_B = _reset_BX, .supply = supply);
// merge core output and loopback
merge<N_IN> merge_drop8core(.in1 = fifo_core2mrg.out, .in2 = fifo_drop2mrg.out,
.supply = supply, .reset_B = _reset_BX);
qdi2bd<N_IN, N_BD_DLY_CFG> _qdi2bd(.in = merge_drop8core.out, .out = out, .dly_cfg = bd_dly_cfg,
.reset_B = _reset_BX, .supply = supply);
}
export template<pint N_IN, // Size of input data from outside world