-
Notifications
You must be signed in to change notification settings - Fork 1
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- edge embedding support in gnnbuilder lib - new working GINE, not integrated end-to-end yet - some initial testing and debugging for V2
- Loading branch information
Showing
537 changed files
with
88,884 additions
and
918 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,145 @@ | ||
| import logging | ||
| import os | ||
| import random | ||
| from pathlib import Path | ||
|
|
||
| import torch | ||
| import torch.nn as nn | ||
| from dotenv import dotenv_values | ||
| from torch_geometric.datasets import FakeDataset | ||
|
|
||
| import gnnbuilder as gnnb | ||
| from gnnbuilder.code_gen import FPX | ||
|
|
||
| logging.basicConfig( | ||
| level=logging.DEBUG, | ||
| format="[%(levelname)s][%(name)s][%(asctime)s] %(message)s", | ||
| handlers=[ | ||
| logging.StreamHandler(), | ||
| ], | ||
| ) | ||
| logger = logging.getLogger("gnnb") | ||
|
|
||
| CURRENT_SCRIPT_DIR = Path(__file__).parent | ||
|
|
||
| env_config = dotenv_values("./.env") | ||
| if "BUILD_DIR" not in env_config: | ||
| raise ValueError("BUILD_DIR not defined in env_config") | ||
| else: | ||
| if env_config["BUILD_DIR"] is None: | ||
| raise ValueError("BUILD_DIR not defined in env_config") | ||
| else: | ||
| build_dir_str = env_config["BUILD_DIR"] | ||
| if not os.path.isdir(build_dir_str): | ||
| raise ValueError(f"BUILD_DIR={build_dir_str} is not a valid path") | ||
| else: | ||
| BUILD_DIR = Path(build_dir_str) | ||
| if "VITIS_HLS_BIN" not in env_config: | ||
| VITIS_HLS_BIN = "vitis_hls" | ||
| else: | ||
| VITIS_HLS_BIN = env_config["VITIS_HLS_BIN"] | ||
| if VITIS_HLS_BIN is None: | ||
| VITIS_HLS_BIN = "vitis_hls" | ||
|
|
||
|
|
||
| torch.manual_seed(0) | ||
| random.seed(0) | ||
|
|
||
|
|
||
| dataset = FakeDataset( | ||
| num_graphs=1, | ||
| avg_num_nodes=20, | ||
| avg_degree=5, | ||
| num_channels=8, | ||
| num_classes=10, | ||
| task="graph", | ||
| is_undirected=False, | ||
| ) | ||
|
|
||
|
|
||
| print(dataset) | ||
| for data in dataset: | ||
| print(data) | ||
| print(f"dataset.num_classes={dataset.num_classes}") | ||
| print(f"dataset.num_features={dataset.num_features}") | ||
|
|
||
| dataset_max_node, dataset_max_edge = gnnb.compute_max_nodes_and_edges(dataset) | ||
| print(f"dataset_max_node={dataset_max_node}") | ||
| print(f"dataset_max_edge={dataset_max_edge}") | ||
|
|
||
| dataset_average_degree = gnnb.utils.compute_average_degree(dataset, round_val=True) | ||
| print(f"dataset_average_degree={dataset_average_degree}") | ||
|
|
||
|
|
||
| model = gnnb.GNNModel( | ||
| graph_input_feature_dim=dataset.num_features, | ||
| graph_input_edge_dim=dataset.num_edge_features, | ||
| gnn_hidden_dim=dataset.num_features * 2, | ||
| gnn_num_layers=3, | ||
| gnn_output_dim=dataset.num_features, | ||
| gnn_conv=gnnb.SAGEConv_GNNB, | ||
| gnn_activation=nn.ReLU, | ||
| gnn_skip_connection=True, | ||
| global_pooling=gnnb.GlobalPooling(["add", "mean", "max"]), | ||
| mlp_head=gnnb.MLP( | ||
| in_dim=dataset.num_features * 3, | ||
| out_dim=dataset.num_classes, | ||
| hidden_dim=dataset.num_features, | ||
| hidden_layers=2, | ||
| activation=nn.ReLU, | ||
| p_in=8, | ||
| p_hidden=4, | ||
| p_out=1, | ||
| ), | ||
| output_activation=None, | ||
| gnn_p_in=1, | ||
| gnn_p_hidden=4, | ||
| gnn_p_out=4, | ||
| ) | ||
|
|
||
| MAX_NODES = 100 | ||
| MAX_EDGES = 200 | ||
|
|
||
| num_nodes_guess, num_edges_guess = gnnb.compute_average_nodes_and_edges( | ||
| dataset, round_val=True | ||
| ) | ||
|
|
||
| PROJECT_NAME = "gnn_model_simple_test" | ||
| VITIS_HLS_PATH = Path("/tools/software/xilinx/Vitis_HLS/2023.1/") | ||
|
|
||
| print(f"Project Name: {PROJECT_NAME}") | ||
| print(f"Vitis HLS Path: {VITIS_HLS_PATH}") | ||
| print(f"Build Directory: {BUILD_DIR}/{PROJECT_NAME}") | ||
|
|
||
|
|
||
| proj = gnnb.Project( | ||
| PROJECT_NAME, | ||
| model, | ||
| "classification_integer", | ||
| VITIS_HLS_PATH, | ||
| BUILD_DIR, | ||
| dataset=dataset, | ||
| max_nodes=MAX_NODES, | ||
| max_edges=MAX_EDGES, | ||
| num_nodes_guess=num_nodes_guess, | ||
| num_edges_guess=num_edges_guess, | ||
| degree_guess=dataset_average_degree, | ||
| float_or_fixed="fixed", | ||
| fpx=FPX(32, 10), | ||
| fpga_part="xcu280-fsvh2892-2L-e", | ||
| n_jobs=32, | ||
| cosim_wave_debug=True, | ||
| ) | ||
|
|
||
| proj.gen_hw_model() | ||
| proj.gen_testbench() | ||
| proj.gen_makefile() | ||
| proj.gen_vitis_hls_tcl_script() | ||
| proj.gen_vitis_hls_cosim_tcl_script() | ||
| proj.gen_makefile_vitis() | ||
|
|
||
| tb_data = proj.build_and_run_testbench() | ||
| print(tb_data) | ||
|
|
||
| synth_data = proj.run_vitis_hls_synthesis() | ||
| print(synth_data) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Oops, something went wrong.