From 748bf3891d78a3240c065174c9f53b1a61c0febb Mon Sep 17 00:00:00 2001 From: Rintarooo <310rnomeado@gmail.com> Date: Fri, 21 Aug 2020 01:25:27 +0900 Subject: [PATCH] update --- PyTorch/Csv/VRP20_train_0821_00_58.csv | 319 ++++++++++++++++++ PyTorch/Csv/param_VRP20_train_0821_00_58.csv | 24 ++ PyTorch/Pkl/VRP20_train.pkl | Bin 0 -> 589 bytes PyTorch/Weights/VRP20_train_epoch0.pt | Bin 2808443 -> 2798216 bytes PyTorch/__pycache__/baseline.cpython-36.pyc | Bin 0 -> 5146 bytes PyTorch/__pycache__/config.cpython-36.pyc | Bin 0 -> 4770 bytes PyTorch/__pycache__/data.cpython-36.pyc | Bin 0 -> 3077 bytes PyTorch/__pycache__/decoder.cpython-36.pyc | Bin 0 -> 2969 bytes .../__pycache__/decoder_utils.cpython-36.pyc | Bin 0 -> 6193 bytes PyTorch/__pycache__/encoder.cpython-36.pyc | Bin 0 -> 4963 bytes PyTorch/__pycache__/layers.cpython-36.pyc | Bin 0 -> 4655 bytes PyTorch/__pycache__/model.cpython-36.pyc | Bin 0 -> 1628 bytes PyTorch/plot.py | 14 +- 13 files changed, 350 insertions(+), 7 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zzz%?5k}GMP32ehs+ka6q(Z)-(%t}KOLth&&Ut}`<7uHXTAb7A!&O;2aJOC0vU$iKE bY|syx50%h?n!p*-9()5lWiH)@Z$SS6^46BP literal 0 HcmV?d00001 diff --git a/PyTorch/plot.py b/PyTorch/plot.py index 86cf9e6..190abc0 100644 --- a/PyTorch/plot.py +++ b/PyTorch/plot.py @@ -38,11 +38,11 @@ def plot_route(data, pi, title, cost, idx_in_batch = 0): """ # Remove extra zeros - pi_ = get_clean_path(pi[idx_in_batch].numpy()) + pi_ = get_clean_path(pi[idx_in_batch].cpu().numpy()) - depot_xy = data[0][idx_in_batch].numpy() - customer_xy = data[1][idx_in_batch].numpy() - demands = data[2][idx_in_batch].numpy() + depot_xy = data[0][idx_in_batch].cpu().numpy() + customer_xy = data[1][idx_in_batch].cpu().numpy() + demands = data[2][idx_in_batch].cpu().numpy() # customer_labels = ['(' + str(i) + ', ' + str(demand) + ')' for i, demand in enumerate(demands.round(2), 1)] customer_labels = ['(' + str(demand) + ')' for demand in demands.round(2)] @@ -94,7 +94,7 @@ def plot_route(data, pi, title, cost, idx_in_batch = 0): marker_symbol = 'triangle-up' ) - layout = go.Layout(title = dict(text = f'VRP{customer_xy.shape[0]} {title}, Total Length = {cost.numpy():.3f}', x = 0.5, y = 1, yanchor = 'bottom', yref = 'paper', pad = dict(b = 10)),#https://community.plotly.com/t/specify-title-position/13439/3 + layout = go.Layout(title = dict(text = f'VRP{customer_xy.shape[0]} {title}, Total Length = {cost.cpu().numpy():.3f}', x = 0.5, y = 1, yanchor = 'bottom', yref = 'paper', pad = dict(b = 10)),#https://community.plotly.com/t/specify-title-position/13439/3 # xaxis = dict(title = 'X', ticks='outside'), # yaxis = dict(title = 'Y', ticks='outside'),#https://kamino.hatenablog.com/entry/plotly_for_report xaxis = dict(title = 'X', range = [0, 1], showgrid=False, ticks='outside', linewidth=1, mirror=True), @@ -115,7 +115,6 @@ def plot_route(data, pi, title, cost, idx_in_batch = 0): if __name__ == '__main__': args = test_parser() - t1 = time() pretrained = load_model(args.path, embed_dim = 128, n_customer = args.n_customer, n_encode_layers = 3) data = generate_data(n_samples = 2, n_customer = args.n_customer, seed = args.seed) device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu') @@ -123,9 +122,10 @@ def plot_route(data, pi, title, cost, idx_in_batch = 0): data = list(map(lambda x: x.to(device), data)) pretrained.eval() with torch.no_grad(): + t1 = time() cost, _, pi = pretrained(data, return_pi = True) plot_route(data, pi, 'Pretrained', cost[0], 0) # model = AttentionModel(embed_dim = 128, n_encode_layers = 3, n_heads = 8, tanh_clipping = 10., FF_hidden = 512) # cost, _, pi = model(data, return_pi = True) # plot_route(data, pi, 'Untrained', cost[idx_min], idx_min) - print(f'inference time: {time()-t1}s') \ No newline at end of file + print(f'inference time: {time()-t1}s')

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