feat: update project tt_um_chatgpt_rsnn_paolaunisa from Andreou-JHULa…

…bOrg/tinytapeout_06_chatgpt_rsnn

Commit: 18a24032469430248a6924f6344e09ac1a560b0d
Workflow: https://github.com/Andreou-JHULabOrg/tinytapeout_06_chatgpt_rsnn/actions/runs/8749453022

projects/tt_um_chatgpt_rsnn_paolaunisa/LICENSE

@@ -0,0 +1,201 @@
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projects/tt_um_chatgpt_rsnn_paolaunisa/commit_id.json

@@ -0,0 +1,9 @@
+{
+  "app": "Tiny Tapeout tt06 c74b14ac",
+  "repo": "https://github.com/Andreou-JHULabOrg/tinytapeout_06_chatgpt_rsnn",
+  "commit": "18a24032469430248a6924f6344e09ac1a560b0d",
+  "workflow_url": "https://github.com/Andreou-JHULabOrg/tinytapeout_06_chatgpt_rsnn/actions/runs/8749453022",
+  "sort_id": 1713530432151,
+  "openlane_version": "OpenLane eaba5192c45aa333ab45216ce1773d75d539e9b3",
+  "pdk_version": "open_pdks cd1748bb197f9b7af62a54507de6624e30363943"
+}

projects/tt_um_chatgpt_rsnn_paolaunisa/docs/info.md

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+<!---
+
+This file is used to generate your project datasheet. Please fill in the information below and delete any unused
+sections.
+
+You can also include images in this folder and reference them in the markdown. Each image must be less than
+512 kb in size, and the combined size of all images must be less than 1 MB.
+-->
+
+## How it works
+
+This project implements 9 programmable digital recurrent LIF neurons. The neurons are arranged in 3 layers (3 in each). Spikes_in directly maps to the inputs of the first layer neurons. When an input spike is received, it is first multiplied by an 8 bit weight, programmable from a custom interface, 1 per input neuron. This 8 bit value is then added to the membrane potential of the respective neuron. 
+When the first layer neurons activate, its pulse is routed to each of the 3 neurons in the next layer.
+There are 9x3 programmable weights describing the connectivity between the input spikes and the first layer (9 weights=3x3), the first and second layers (9 weights=3x3), and second and third layers (9 weights=3x3).
+Output spikes from the 3nd layer drive spikes_out. 
+
+
+## How to test
+
+After reset, program the neuron threshold, leak rate, feedback_scale and refractory period.
+Additionally program the first, 2nd, 3rd layer weights. Once programmed activate spikes_in to represent input data, track spikes_out synchronously (1 clock cycle pulses). 
+
+
+## External hardware
+
+List external hardware used in your project (e.g. PMOD, LED display, etc), if any
+
+
+## ChatGPT Transcripts:
+* [TT6 - LIF Neuron](https://chat.openai.com/share/535c4a0c-c86d-4ba0-9a4f-99c0c1838d9a)
+* [TT6 - LIF Neuron: overflow managing](https://chat.openai.com/share/b7ca6901-2c3b-4495-9e66-dd03410796d1)
+* [TT6- LIF Neuron Test Bench](https://chat.openai.com/share/29ee34bb-a055-46f7-b410-eb5cb0ce6a53)
+* [TT6 - RLIF Neuron](https://chat.openai.com/share/5e4851a5-1daf-4a8d-a139-cc3902eaedbe)
+* [TT6 - RLIF Neuron Test bench](https://chat.openai.com/share/b06b4c8d-7c92-47de-810e-a645104e8219)
+* [TT6-RLIF Layer](https://chat.openai.com/share/c9a540f7-5859-4f9d-8a51-1253a600b270)
+* [TT6-RLIF Layer overflow managing](https://chat.openai.com/share/186d94ee-5bfe-4725-9e9f-a8b75aad12ca)
+* [TT6-RLIF Layer Test Bench](https://chat.openai.com/share/66083653-98e3-4205-9dbc-be5cedb4a1d7)
+* [TT-6 RSNN](https://chat.openai.com/share/dfd4aaf6-5d49-4ce6-8764-137a28d0ff33)
+* [TT-6 RSNN Test Bench]( https://chat.openai.com/share/47821133-237d-49f5-a831-5e6392c57680)
+* [TT-6 FIPO Memory]( https://chat.openai.com/share/89e4db9c-d54d-4df5-9114-fc9aec4bec26)
+* [TT-6 FIFO Memory Test bench]( https://chat.openai.com/share/3ab57958-6f31-41c1-a924-d0eb99a4688d)
+* [TT-6 RegN]( https://chat.openai.com/share/b2ebcf19-ea47-48c7-93d4-53bb519ef158)
+* [TT-6 Control Memory]( https://chat.openai.com/share/827e75b4-09f1-4793-bec0-5460367164c0)
+* [TT-6 Control Memory Test bench]( https://chat.openai.com/share/91674715-2c69-41c5-a647-fafee0bc78bf)
+* [TT-6 Top Module]( https://chat.openai.com/share/d7273ad8-a6e3-449f-9e97-9a1521b1320a)
+* [TT-6 Top Module Test Bench]( https://chat.openai.com/share/a5e2df3d-87dd-41ea-af40-e716a6e3c370)
+
+
+
+

projects/tt_um_chatgpt_rsnn_paolaunisa/info.yaml

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+# Tiny Tapeout project information
+project:
+  title:        "ChatGPT designed Recurrent Spiking Neural Network"      # Project title
+  author:       "Paola Vitolo, Michael Tomlinson, ChatGPT-4, Gian Domenico Licciardo, Andreas Andreou - [email protected]"      # Your name
+  discord:      ""      # Your discord username, for communication and automatically assigning you a Tapeout role (optional)
+  description:  "Programmable recurrent spiking neural network with 9 recurrent LIF neurons ( 3 input - 3 output ) with fully programmable weights (8-bit)"      # One line description of what your project does
+  language:     "Verilog" # other examples include SystemVerilog, Amaranth, VHDL, etc
+  clock_hz:     0       # Clock frequency in Hz (or 0 if not applicable)
+
+  # How many tiles your design occupies? A single tile is about 167x108 uM.
+  tiles: "3x2"          # Valid values: 1x1, 1x2, 2x2, 3x2, 4x2, 6x2 or 8x2
+
+  # Your top module name must start with "tt_um_". Make it unique by including your github username:
+  top_module:  "tt_um_chatgpt_rsnn_paolaunisa"
+
+  # List your project's source files here. Source files must be in ./src and you must list each source file separately, one per line:
+  source_files:        
+    - "tt_um_chatgpt_rsnn_paolaunisa.v"
+    - "LeakyIntegrateFireNeuron.v"
+    - "MemoryCU.v"
+    - "RecurrentSpikingNeuron.v"
+    - "register.v"
+    - "RSNN_TopModule.v"
+    - "SpikingNeuronLayer.v"
+    - "ThreeLayerNeuralNetwork.v"
+    - "FIPO_Memory.v"
+
+
+# The pinout of your project. Leave unused pins blank. DO NOT delete or add any pins.
+pinout:
+  # Inputs
+  ui[0]: "Input Spike 0"
+  ui[1]: "Input Spike 1"
+  ui[2]: "Input Spike 2"
+  ui[3]: "Spike Input Register Enable"
+  ui[4]: "RSNN enable"
+  ui[5]: "Serial Data IN"
+  ui[6]: "Parameter Load"
+  ui[7]: ""
+
+  # Outputs
+  uo[0]: "Output Spike 0"
+  uo[1]: "Output Spike 1"
+  uo[2]: "Output Spike 2"
+  uo[3]: "End of Writing Parameters into Memory"
+  uo[4]: "Parameter Data Written"
+  uo[5]: ""
+  uo[6]: ""
+  uo[7]: ""
+
+  # Bidirectional pins
+  uio[0]: ""
+  uio[1]: ""
+  uio[2]: ""
+  uio[3]: ""
+  uio[4]: ""
+  uio[5]: ""
+  uio[6]: ""
+  uio[7]: ""
+
+# Do not change!
+yaml_version: 6

projects/tt_um_chatgpt_rsnn_paolaunisa/stats/metrics.csv

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+design,design_name,config,flow_status,total_runtime,routed_runtime,(Cell/mm^2)/Core_Util,DIEAREA_mm^2,CellPer_mm^2,OpenDP_Util,Final_Util,Peak_Memory_Usage_MB,synth_cell_count,tritonRoute_violations,Short_violations,MetSpc_violations,OffGrid_violations,MinHole_violations,Other_violations,Magic_violations,pin_antenna_violations,net_antenna_violations,lvs_total_errors,cvc_total_errors,klayout_violations,wire_length,vias,wns,pl_wns,optimized_wns,fastroute_wns,spef_wns,tns,pl_tns,optimized_tns,fastroute_tns,spef_tns,HPWL,routing_layer1_pct,routing_layer2_pct,routing_layer3_pct,routing_layer4_pct,routing_layer5_pct,routing_layer6_pct,wires_count,wire_bits,public_wires_count,public_wire_bits,memories_count,memory_bits,processes_count,cells_pre_abc,AND,DFF,NAND,NOR,OR,XOR,XNOR,MUX,inputs,outputs,level,DecapCells,WelltapCells,DiodeCells,FillCells,NonPhysCells,TotalCells,CoreArea_um^2,power_slowest_internal_uW,power_slowest_switching_uW,power_slowest_leakage_uW,power_typical_internal_uW,power_typical_switching_uW,power_typical_leakage_uW,power_fastest_internal_uW,power_fastest_switching_uW,power_fastest_leakage_uW,critical_path_ns,suggested_clock_period,suggested_clock_frequency,CLOCK_PERIOD,FP_ASPECT_RATIO,FP_CORE_UTIL,FP_PDN_HPITCH,FP_PDN_VPITCH,GRT_ADJUSTMENT,GRT_REPAIR_ANTENNAS,MAX_FANOUT_CONSTRAINT,PL_TARGET_DENSITY,RUN_HEURISTIC_DIODE_INSERTION,STD_CELL_LIBRARY,SYNTH_STRATEGY
+/work/src,tt_um_chatgpt_rsnn_paolaunisa,wokwi,flow completed,0h7m40s0ms,0h5m57s0ms,89223.4807337739,0.1148576576,44611.74036688695,46.26,44.2131,705.22,4781,0,0,0,0,0,0,0,4,4,0,-1,-1,157881,37652,0.0,-1,-1,-1,-1,0.0,-1,-1,-1,-1,113885044.0,0.0,45.0,37.15,15.4,7.54,-1,7830,10984,290,3444,0,0,0,8030,357,20,142,340,2358,854,157,235,489,483,35,5417,1577,34,2233,5124,14385,110873.8368,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,21.0,47.61904761904762,20,1,50,153.18,153.6,0.3,1,10,0.6,0,sky130_fd_sc_hd,AREA 0