From fbc4d8984ec2a8497122e27d4308bc07dc6512de Mon Sep 17 00:00:00 2001 From: TinyTapeoutBot <139130078+TinyTapeoutBot@users.noreply.github.com> Date: Fri, 31 May 2024 22:40:25 +0300 Subject: [PATCH] feat: update project tt_um_neural_network from Kevomlml/tt07_chipusm_neural_network Commit: bffdd5672e393de450e66fd86f7f2300ee9ccb31 Workflow: https://github.com/Kevomlml/tt07_chipusm_neural_network/actions/runs/9278106145 --- projects/tt_um_neural_network/LICENSE | 201 + projects/tt_um_neural_network/commit_id.json | 9 + projects/tt_um_neural_network/docs/info.md | 48 + projects/tt_um_neural_network/info.yaml | 57 + .../tt_um_neural_network/stats/metrics.csv | 2 + .../stats/synthesis-stats.txt | 72 + .../tt_um_neural_network.gds | Bin 0 -> 4947162 bytes .../tt_um_neural_network.lef | 531 + .../tt_um_neural_network.spef | 70681 ++++++++++++++++ .../tt_um_neural_network.v | 23893 ++++++ 10 files changed, 95494 insertions(+) create mode 100644 projects/tt_um_neural_network/LICENSE create mode 100644 projects/tt_um_neural_network/commit_id.json create mode 100644 projects/tt_um_neural_network/docs/info.md create mode 100644 projects/tt_um_neural_network/info.yaml create mode 100644 projects/tt_um_neural_network/stats/metrics.csv create mode 100644 projects/tt_um_neural_network/stats/synthesis-stats.txt create mode 100644 projects/tt_um_neural_network/tt_um_neural_network.gds create mode 100644 projects/tt_um_neural_network/tt_um_neural_network.lef create mode 100644 projects/tt_um_neural_network/tt_um_neural_network.spef create mode 100644 projects/tt_um_neural_network/tt_um_neural_network.v diff --git a/projects/tt_um_neural_network/LICENSE b/projects/tt_um_neural_network/LICENSE new file mode 100644 index 0000000..261eeb9 --- /dev/null +++ b/projects/tt_um_neural_network/LICENSE @@ -0,0 +1,201 @@ + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. diff --git a/projects/tt_um_neural_network/commit_id.json b/projects/tt_um_neural_network/commit_id.json new file mode 100644 index 0000000..df8e36d --- /dev/null +++ b/projects/tt_um_neural_network/commit_id.json @@ -0,0 +1,9 @@ +{ + "app": "Tiny Tapeout tt07 f56fdf7c", + "repo": "https://github.com/Kevomlml/tt07_chipusm_neural_network", + "commit": "bffdd5672e393de450e66fd86f7f2300ee9ccb31", + "workflow_url": "https://github.com/Kevomlml/tt07_chipusm_neural_network/actions/runs/9278106145", + "sort_id": 1717184419986, + "openlane_version": "OpenLane 337ffbf4749b8bc6e8d8742ed9a595934142198b", + "pdk_version": "open_pdks cd1748bb197f9b7af62a54507de6624e30363943" +} \ No newline at end of file diff --git a/projects/tt_um_neural_network/docs/info.md b/projects/tt_um_neural_network/docs/info.md new file mode 100644 index 0000000..94241b4 --- /dev/null +++ b/projects/tt_um_neural_network/docs/info.md @@ -0,0 +1,48 @@ + + +## How it works + +The project consists of a neural network of 4 (parameterizable and reusable) neurons, thanks to control signals. + +From an 8-bit input, the inputs will be introduced into a reusable neural network of 4 neurons. +Through a shift register, 4 different inputs are captured. Furthermore, thanks to a state machine, the parameters associated with each neuron are obtained: 4 weights and 1 bias, in total 20 parameters per network layer. + +State changes are made using a binary signal, where the input data and neuron parameters are received and then the neurons are fed back their outputs to the next layer. +To observe the network's output one need to bring the state machine to the first state using the pin "Finished", then, in the next 4 clock cycles the outputs of the neurons 3 to 0 will be shown on the output at the same time some new external inputs can be introduced to a new neural network without the need for a reset + +| State | Description| +| ------------- | ------------- | +| State_IN | The inputs of the neurons are found entering and the outputs are shown. | +| State_BUFF | Neuron inputs are maintained while network parameters are entered | +| State_OUT | Feedback of neurons with their previous result | + +Below is the structure for inputting the neurons entries: + +![ChipUSM1 (1)](https://github.com/Kevomlml/tt07_chipusm_neural_network/assets/158077239/308f0b48-d2a9-49f5-822f-4b13980fadf6) + +Node A corresponds to the output of the state machine, and node B to the parameters for each neuron. + +Regarding the parameters, they are fed in sequence, from neuron 3 to neuron 0. And the weights correspond to powers of 2, so, if w00=3, the input0 to the neuron0 will be multiplied by 2³. + + +![ChipUSM2](https://github.com/Kevomlml/tt07_chipusm_neural_network/assets/158077239/abb3bc67-820e-453c-9c4b-f3741869816d) + +## How to test + +The input signals must be coordinated to achieve correct testing, where the following order must be followed to enter the inputs and parameters considering multiple layers. + +in_3 > in_2 > in_1 > in_0 > b3 > w33 > w32 > w31 > w30 > b2 > w23 > w22 > w21 > w20 > b1 > w13 > w12 > w11 > w10 > b0 > w03 > w02 > w01 > w00 + +Each entry must be maintained for 2 clk, to be captured on the rising edge and thus there is displacement with the shift registers. + +## External hardware + +An FPGA is recomended in to perform the tests and feed the weights correctly. +Also, the weights must be trained first in some other system, e.g. in a pc using Python or Matlab. diff --git a/projects/tt_um_neural_network/info.yaml b/projects/tt_um_neural_network/info.yaml new file mode 100644 index 0000000..3fa454d --- /dev/null +++ b/projects/tt_um_neural_network/info.yaml @@ -0,0 +1,57 @@ +# Tiny Tapeout project information +project: + title: "Neural Network dinamic" # Project title + author: "Kevin Gajardo, David Tapia" # Your name + discord: "Kevomlml, " # Your discord username, for communication and automatically assigning you a Tapeout role (optional) + description: "One line description" # One line description of what your project does + language: "Verilog" # other examples include SystemVerilog, Amaranth, VHDL, etc + clock_hz: 66000000 # Clock frequency in Hz (or 0 if not applicable) + + # How many tiles your design occupies? A single tile is about 167x108 uM. + tiles: "1x2" # 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_neural_network" + + # 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: + - "maquina_estados.v" + - "perceptron.v" + - "shift_register_param.v" + - "shift_register_inputs.v" + - "tt_um_neural_network.v" + +# The pinout of your project. Leave unused pins blank. DO NOT delete or add any pins. +pinout: + # Inputs + ui[0]: "data_in[0]" + ui[1]: "data_in[1]" + ui[2]: "data_in[2]" + ui[3]: "data_in[3]" + ui[4]: "data_in[4]" + ui[5]: "data_in[5]" + ui[6]: "data_in[6]" + ui[7]: "data_in[7]" + + # Outputs + uo[0]: "data_out[0]" + uo[1]: "data_out[1]" + uo[2]: "data_out[2]" + uo[3]: "data_out[3]" + uo[4]: "data_out[4]" + uo[5]: "data_out[5]" + uo[6]: "data_out[6]" + uo[7]: "data_out[7]" + + # Bidirectional pins + uio[0]: "selector[0]" + uio[1]: "selector[1]" + uio[2]: "selector_out[0]" + uio[3]: "selector_out[1]" + uio[4]: "" + uio[5]: "" + uio[6]: "" + uio[7]: "" + +# Do not change! +yaml_version: 6 diff --git a/projects/tt_um_neural_network/stats/metrics.csv b/projects/tt_um_neural_network/stats/metrics.csv new file mode 100644 index 0000000..7daa874 --- /dev/null +++ b/projects/tt_um_neural_network/stats/metrics.csv @@ -0,0 +1,2 @@ +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_neural_network,wokwi,flow completed,0h3m43s0ms,0h3m11s0ms,89800.19456708823,0.03634736,44900.09728354411,45.49,46.3401,597.12,1433,0,0,0,0,0,0,0,8,7,0,-1,-1,53382,12752,0.0,-1,-1,-1,-1,0.0,-1,-1,-1,-1,28937892.0,0.0,37.65,44.44,14.56,25.11,-1,1025,1763,119,857,0,0,0,1112,1,0,0,11,214,108,48,175,215,204,16,1583,456,27,705,1632,4403,34255.3536,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,21.0,47.61904761904762,20,1,50,55.080,38.870,0.3,1,10,0.8,0,sky130_fd_sc_hd,AREA 0 diff --git a/projects/tt_um_neural_network/stats/synthesis-stats.txt b/projects/tt_um_neural_network/stats/synthesis-stats.txt new file mode 100644 index 0000000..c654d9e --- /dev/null +++ b/projects/tt_um_neural_network/stats/synthesis-stats.txt @@ -0,0 +1,72 @@ + +67. Printing statistics. + +=== tt_um_neural_network === + + Number of wires: 1417 + Number of wire bits: 1452 + Number of public wires: 204 + Number of public wire bits: 239 + Number of memories: 0 + Number of memory bits: 0 + Number of processes: 0 + Number of cells: 1433 + sky130_fd_sc_hd__a2111o_2 2 + sky130_fd_sc_hd__a211o_2 5 + sky130_fd_sc_hd__a21bo_2 6 + sky130_fd_sc_hd__a21boi_2 1 + sky130_fd_sc_hd__a21o_2 48 + sky130_fd_sc_hd__a21oi_2 25 + sky130_fd_sc_hd__a221o_2 16 + sky130_fd_sc_hd__a221oi_2 9 + sky130_fd_sc_hd__a22o_2 11 + sky130_fd_sc_hd__a22oi_2 3 + sky130_fd_sc_hd__a2bb2o_2 1 + sky130_fd_sc_hd__a311o_2 1 + sky130_fd_sc_hd__a31o_2 9 + sky130_fd_sc_hd__a31oi_2 2 + sky130_fd_sc_hd__a41o_2 1 + sky130_fd_sc_hd__a41oi_2 1 + sky130_fd_sc_hd__and2_2 45 + sky130_fd_sc_hd__and2b_2 20 + sky130_fd_sc_hd__and3_2 37 + sky130_fd_sc_hd__and3b_2 4 + sky130_fd_sc_hd__and4_2 4 + sky130_fd_sc_hd__and4b_2 2 + sky130_fd_sc_hd__buf_1 110 + sky130_fd_sc_hd__conb_1 16 + sky130_fd_sc_hd__dfxtp_2 204 + sky130_fd_sc_hd__inv_2 41 + sky130_fd_sc_hd__mux2_2 41 + sky130_fd_sc_hd__mux4_2 1 + sky130_fd_sc_hd__nand2_2 62 + sky130_fd_sc_hd__nand3_2 9 + sky130_fd_sc_hd__nand3b_2 1 + sky130_fd_sc_hd__nand4_2 2 + sky130_fd_sc_hd__nor2_2 52 + sky130_fd_sc_hd__nor3_2 4 + sky130_fd_sc_hd__nor4_2 9 + sky130_fd_sc_hd__o211a_2 173 + sky130_fd_sc_hd__o211ai_2 1 + sky130_fd_sc_hd__o21a_2 12 + sky130_fd_sc_hd__o21ai_2 14 + sky130_fd_sc_hd__o21ba_2 3 + sky130_fd_sc_hd__o21bai_2 2 + sky130_fd_sc_hd__o221a_2 12 + sky130_fd_sc_hd__o22a_2 18 + sky130_fd_sc_hd__o2bb2a_2 4 + sky130_fd_sc_hd__o311a_2 18 + sky130_fd_sc_hd__o31a_2 19 + sky130_fd_sc_hd__o31ai_2 3 + sky130_fd_sc_hd__o32a_2 7 + sky130_fd_sc_hd__or2_2 174 + sky130_fd_sc_hd__or2b_2 21 + sky130_fd_sc_hd__or3_2 8 + sky130_fd_sc_hd__or3b_2 11 + sky130_fd_sc_hd__or4_2 11 + sky130_fd_sc_hd__or4b_2 2 + sky130_fd_sc_hd__xnor2_2 92 + sky130_fd_sc_hd__xor2_2 23 + + Chip area for module '\tt_um_neural_network': 15048.182400 + diff --git 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