Variable Precision DSP Blocks User Guide: Agilex™ 5 FPGAs and SoCs
7.4.2. Tensor Fixed-point Mode Signals
| Signal Name | Type | Width | Description | 
|---|---|---|---|
| data_in_{1..10} | Input | 8 | Input data bus to the DOT product. | 
| side_in_{1..2} 13 | Input | 8 | Input data bus to the DOT product during side input feed method. | 
| load_bb_one | Input | 1 | 
         Select the ping-pong register for data preloading. 
          
 | 
| load_bb_two | Input | 1 | 
         Select the ping-pong register for data preloading. 
          
 | 
| load_buf_sel | Input | 1 | 
         Select the data from either one of the ping-pong registers for DOT product computations. 
          
 | 
| acc_en | Input | 1 | Assert this signal to enable the accumulator features. Deassert this signal to disable the accumulator feature. The default value for this signal is 0. | 
| zero_en | Input | 1 | Assert this signal to disable the input to the CPA adder. When this signal is deasserted, the CPA adder gets input data from either the accumulator or the input from a cascaded DSP prime block. The default value for this signal is 0. | 
| clk | Input | 1 | Input clock for all registers in DSP prime block. | 
| clr0 | Input | 1 | Asynchronous clear input signals for input register. Assert this signal to clear input registers. The default value for these signals is 0. | 
| clr1 | Input | 1 | Asynchronous clear signal for pipeline registers and output registers. Assert this signal to clear pipeline registers and output register. The default value for these signals is 0. | 
| ena | Input | 1 | Clock enable signals for all registers. Assert this signal to enable clock for the DSP prime block. The default value for this signal is 1. | 
| cascade_data_in_col_{1..2} | Input | 32 | Data input bus from a cascaded DSP prime block for each column. | 
| fxp32_col_{1..2} | Output | 32 | Output data bus in 32-bit fixed point data format. | 
| cascade_data_out_col_{1..2} | Output | 32 | Output data bus to connect to the next cascaded DSP prime block for each column. |