diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile deleted file mode 100644 index 0e8a64a..0000000 --- a/.devcontainer/Dockerfile +++ /dev/null @@ -1,16 +0,0 @@ -FROM mcr.microsoft.com/devcontainers/miniconda:0-3 - -# Copy environment.yml (if found) to a temp location so we update the environment. Also -# copy "noop.txt" so the COPY instruction does not fail if no environment.yml exists. -COPY environment.yml* .devcontainer/noop.txt /tmp/conda-tmp/ -RUN if [ -f "/tmp/conda-tmp/environment.yml" ]; then umask 0002 && /opt/conda/bin/conda env update -n base -f /tmp/conda-tmp/environment.yml; fi \ - && rm -rf /tmp/conda-tmp - -# [Optional] Uncomment to install a different version of Python than the default -# RUN conda install -y python=3.6 \ -# && pip install --no-cache-dir pipx \ -# && pipx reinstall-all - -# [Optional] Uncomment this section to install additional OS packages. -# RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \ -# && apt-get -y install --no-install-recommends diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json index b0377a8..4caa8e5 100644 --- a/.devcontainer/devcontainer.json +++ b/.devcontainer/devcontainer.json @@ -20,12 +20,9 @@ "ghcr.io/devcontainers/features/python:1": { "installTools": true, "version": "3.9" - }, - "ghcr.io/rocker-org/devcontainer-features/miniforge:1": { - "version": "latest", - "variant": "Miniforge-pypy3" } - } + }, + "postCreateCommand": "conda env create --file environment.yaml --name pso" // Features to add to the dev container. More info: https://containers.dev/features. // "features": {}, // Use 'forwardPorts' to make a list of ports inside the container available locally. diff --git a/.devcontainer/noop.txt b/.devcontainer/noop.txt deleted file mode 100644 index abee195..0000000 --- a/.devcontainer/noop.txt +++ /dev/null @@ -1,3 +0,0 @@ -This file is copied into the container along with environment.yml* from the -parent folder. This is done to prevent the Dockerfile COPY instruction from -failing if no environment.yml is found. \ No newline at end of file diff --git a/.github/workflows/python-package-conda.yml b/.github/workflows/python-package-conda.yml index a7cb7f9..5cc49d3 100644 --- a/.github/workflows/python-package-conda.yml +++ b/.github/workflows/python-package-conda.yml @@ -20,5 +20,5 @@ jobs: echo $CONDA/bin >> $GITHUB_PATH - name: Install dependencies run: | - conda env update --file environment.yaml --name pso + conda env create --file environment.yaml --name pso conda activate pso \ No newline at end of file diff --git a/.vscode/settings.json b/.vscode/settings.json new file mode 100644 index 0000000..d99f2f3 --- /dev/null +++ b/.vscode/settings.json @@ -0,0 +1,6 @@ +{ + "[python]": { + "editor.defaultFormatter": "ms-python.black-formatter" + }, + "python.formatting.provider": "none" +} \ No newline at end of file diff --git a/iris.py b/iris.py index d6ba067..32211e4 100644 --- a/iris.py +++ b/iris.py @@ -1,6 +1,6 @@ import os -os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' +os.environ["TF_CPP_MIN_LOG_LEVEL"] = "2" import gc @@ -16,12 +16,13 @@ from tensorflow.keras.models import Sequential def make_model(): model = Sequential() - model.add(layers.Dense(10, activation='relu', input_shape=(4,))) - model.add(layers.Dense(10, activation='relu')) - model.add(layers.Dense(3, activation='softmax')) + model.add(layers.Dense(10, activation="relu", input_shape=(4,))) + model.add(layers.Dense(10, activation="relu")) + model.add(layers.Dense(3, activation="softmax")) return model + def load_data(): iris = load_iris() x = iris.data @@ -29,37 +30,40 @@ def load_data(): y = keras.utils.to_categorical(y, 3) - x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.2, shuffle=True, stratify=y) + x_train, x_test, y_train, y_test = train_test_split( + x, y, test_size=0.2, shuffle=True, stratify=y + ) return x_train, x_test, y_train, y_test + model = make_model() x_train, x_test, y_train, y_test = load_data() -loss = ['categorical_crossentropy'] +loss = ["categorical_crossentropy"] pso_iris = Optimizer( model, - loss=loss[0], - n_particles=100, - c0=0.4, - c1=0.8, + loss=loss[0], + n_particles=100, + c0=0.4, + c1=0.8, w_min=0.7, - w_max=1.0, + w_max=1.0, negative_swarm=0.1, mutation_swarm=0.2, - ) +) best_score = pso_iris.fit( - x_train, - y_train, - epochs=200, - save=True, - save_path="./result/iris", - renewal="acc", - empirical_balance=False, - Dispersion=False, - check_point=25 - ) + x_train, + y_train, + epochs=200, + save=True, + save_path="./result/iris", + renewal="acc", + empirical_balance=False, + Dispersion=False, + check_point=25, +) gc.collect() diff --git a/mnist.py b/mnist.py index 18a941a..6be65a0 100644 --- a/mnist.py +++ b/mnist.py @@ -1,7 +1,7 @@ # %% import os -os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' +os.environ["TF_CPP_MIN_LOG_LEVEL"] = "2" import gc @@ -26,58 +26,73 @@ def get_data(): print(f"x_test : {x_test[0].shape} | y_test : {y_test[0].shape}") return x_train, y_train, x_test, y_test + def get_data_test(): (x_train, y_train), (x_test, y_test) = mnist.load_data() x_test = x_test.reshape((10000, 28, 28, 1)) - + return x_test, y_test + def make_model(): model = Sequential() - model.add(Conv2D(32, kernel_size=(5, 5), - activation='relu', input_shape=(28, 28, 1))) + model.add( + Conv2D(32, kernel_size=(5, 5), activation="relu", input_shape=(28, 28, 1)) + ) model.add(MaxPooling2D(pool_size=(3, 3))) - model.add(Conv2D(64, kernel_size=(3, 3), activation='relu')) + model.add(Conv2D(64, kernel_size=(3, 3), activation="relu")) model.add(MaxPooling2D(pool_size=(2, 2))) model.add(Dropout(0.25)) model.add(Flatten()) - model.add(Dense(128, activation='relu')) - model.add(Dense(10, activation='softmax')) + model.add(Dense(128, activation="relu")) + model.add(Dense(10, activation="softmax")) return model + # %% model = make_model() x_test, y_test = get_data_test() -loss = ['mse', 'categorical_crossentropy', 'binary_crossentropy', 'kullback_leibler_divergence', 'poisson', 'cosine_similarity', 'log_cosh', 'huber_loss', 'mean_absolute_error', 'mean_absolute_percentage_error'] +loss = [ + "mse", + "categorical_crossentropy", + "binary_crossentropy", + "kullback_leibler_divergence", + "poisson", + "cosine_similarity", + "log_cosh", + "huber_loss", + "mean_absolute_error", + "mean_absolute_percentage_error", +] if __name__ == "__main__": try: pso_mnist = Optimizer( model, - loss=loss[0], + loss=loss[0], n_particles=100, - c0=0.35, - c1=0.8, + c0=0.35, + c1=0.8, w_min=0.7, - w_max=1.0, + w_max=1.1, negative_swarm=0.2, - mutation_swarm=0.2, - ) + mutation_swarm=0.1, + ) best_score = pso_mnist.fit( x_test, y_test, epochs=200, save=True, - save_path="./result/mnist", - renewal="acc", + save_path="./result/mnist", + renewal="acc", empirical_balance=False, - Dispersion=False, - check_point=25 - ) + Dispersion=False, + check_point=25, + ) except Exception as e: print(e) finally: - gc.collect() \ No newline at end of file + gc.collect() diff --git a/plt.ipynb b/plt.ipynb index a2f40ee..3eb8a77 100644 --- a/plt.ipynb +++ b/plt.ipynb @@ -2,20 +2,20 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "(97, 200)\n", - "(97, 100) (97, 100)\n" + "(20, 200)\n", + "(20, 100) (20, 100)\n" ] }, { "data": { - "image/png": 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", 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" ] @@ -32,9 +32,9 @@ "import numpy as np\n", "import pandas as pd\n", "\n", - "# %matplotlib inline\n", + "%matplotlib inline\n", "\n", - "data = pd.read_csv(\"./result/mnist/07-05-16-29_100_200_0.4_0.8_0.6_acc.csv\", header=None)\n", + "data = pd.read_csv(\"result/mnist/07-06-21-23_100_200_0.35_0.8_0.7_acc.csv\", header=None)\n", "print(data.shape)\n", "\n", "loss = pd.DataFrame()\n", diff --git a/pso/optimizer.py b/pso/optimizer.py index dbf1bc0..7147164 100644 --- a/pso/optimizer.py +++ b/pso/optimizer.py @@ -15,10 +15,13 @@ gpus = tf.config.experimental.list_physical_devices("GPU") if gpus: try: # tf.config.experimental.set_visible_devices(gpus[0], "GPU") + print(tf.config.experimental.get_visible_devices("GPU")) tf.config.experimental.set_memory_growth(gpus[0], True) + print("set memory growth") except RuntimeError as e: print(e) + class Optimizer: """ particle swarm optimization @@ -41,7 +44,7 @@ class Optimizer: ): """ particle swarm optimization - + Args: model (keras.models): 모델 구조 loss (str): 손실함수 @@ -55,7 +58,7 @@ class Optimizer: """ np.random.seed(np_seed) tf.random.set_seed(tf_seed) - + self.model = model # 모델 구조 self.loss = loss # 손실함수 self.n_particles = n_particles # 파티클 개수 @@ -66,11 +69,12 @@ class Optimizer: self.w_max = w_max # 최대 관성 수치 self.negative_swarm = negative_swarm # 최적해와 반대로 이동할 파티클 비율 - 0 ~ 1 사이의 값 self.mutation_swarm = mutation_swarm # 관성을 추가로 사용할 파티클 비율 - 0 ~ 1 사이의 값 - self.g_best_score = [0 , np.inf] # 최고 점수 - 시작은 0으로 초기화 + self.g_best_score = [0, np.inf] # 최고 점수 - 시작은 0으로 초기화 self.g_best = None # 최고 점수를 받은 가중치 self.g_best_ = None # 최고 점수를 받은 가중치 - 값의 분산을 위한 변수 self.avg_score = 0 # 평균 점수 - + self.save_path = None # 저장 위치 + negative_count = 0 for i in tqdm(range(self.n_particles), desc="Initializing Particles"): @@ -81,16 +85,18 @@ class Optimizer: m.set_weights(self._decode(w_, sh_, len_)) m.compile(loss=self.loss, optimizer="sgd", metrics=["accuracy"]) self.particles[i] = Particle( - m, - loss, - negative=True if i < negative_swarm * self.n_particles else False, + m, + loss, + negative=True if i < negative_swarm * self.n_particles else False, mutation=mutation_swarm, - ) + ) if i < negative_swarm * self.n_particles: negative_count += 1 - + print(f"negative swarm : {negative_count} / {self.n_particles}") - print(f"mutation swarm : {mutation_swarm * self.n_particles} / {self.n_particles}") + print( + f"mutation swarm : {mutation_swarm * self.n_particles} / {self.n_particles}" + ) gc.collect() @@ -110,11 +116,10 @@ class Optimizer: del self.avg_score gc.collect() - def _encode(self, weights): """ 가중치를 1차원으로 풀어서 반환 - + Args: weights (list) : keras model의 가중치 Returns: @@ -132,15 +137,14 @@ class Optimizer: w_gpu = np.append(w_gpu, w_) del weights - - return w_gpu, shape, length + return w_gpu, shape, length def _decode(self, weight, shape, length): """ _encode 로 인코딩된 가중치를 원본 shape으로 복원 파라미터는 encode의 리턴값을 그대로 사용을 권장 - + Args: weight (numpy array): 가중치 - 1차원으로 풀어서 반환 shape (list): 가중치의 원본 shape @@ -156,7 +160,7 @@ class Optimizer: w_ = np.reshape(w_, shape[i]) weights.append(w_) start = end - + del weight del shape del length @@ -183,7 +187,6 @@ class Optimizer: else: return 1 + np.abs(score) - def fit( self, x, @@ -204,7 +207,7 @@ class Optimizer: save : bool - True : save, False : not save save_path : str ex) "./result", renewal : str ex) "acc" or "loss", - empirical_balance : bool - True : + empirical_balance : bool - True : Dispersion : bool - True : g_best 의 값을 분산시켜 전역해를 찾음, False : g_best 의 값만 사용 check_point : int - 저장할 위치 - None : 저장 안함 """ @@ -226,7 +229,7 @@ class Optimizer: except ValueError as e: print(e) sys.exit(1) - + for i in tqdm(range(self.n_particles), desc="Initializing velocity"): p = self.particles[i] local_score = p.get_score(x, y, renewal=renewal) @@ -247,7 +250,7 @@ class Optimizer: if local_score[1] == None: local_score[1] = 0 - + if save: with open( f"./{save_path}/{self.day}_{self.n_particles}_{epochs}_{self.c0}_{self.c1}_{self.w_min}_{renewal}.csv", @@ -258,15 +261,22 @@ class Optimizer: f.write(", ") else: f.write("\n") - + f.close() del local_score gc.collect() - print(f"initial g_best_score : {self.g_best_score[0] if self.renewal == 'acc' else self.g_best_score[1]}") + print( + f"initial g_best_score : {self.g_best_score[0] if self.renewal == 'acc' else self.g_best_score[1]}" + ) try: - epochs_pbar = tqdm(range(epochs), desc=f"best {self.g_best_score[0]:.4f}|{self.g_best_score[1]:.4f}", ascii=True, leave=True) + epochs_pbar = tqdm( + range(epochs), + desc=f"best {self.g_best_score[0]:.4f}|{self.g_best_score[1]:.4f}", + ascii=True, + leave=True, + ) for epoch in epochs_pbar: acc = 0 loss = 0 @@ -277,9 +287,16 @@ class Optimizer: ts = self.c0 + np.random.rand() * (self.c1 - self.c0) - part_pbar = tqdm(range(len(self.particles)), desc=f"acc : {max_score:.4f} loss : {min_loss:.4f}", ascii=True, leave=False) + part_pbar = tqdm( + range(len(self.particles)), + desc=f"acc : {max_score:.4f} loss : {min_loss:.4f}", + ascii=True, + leave=False, + ) for i in part_pbar: - part_pbar.set_description(f"acc : {max_score:.4f} loss : {min_loss:.4f}") + part_pbar.set_description( + f"acc : {max_score:.4f} loss : {min_loss:.4f}" + ) w = self.w_max - (self.w_max - self.w_min) * epoch / epochs g_, g_sh, g_len = self._encode(self.g_best) @@ -298,7 +315,7 @@ class Optimizer: w_g_ = self.f(x, y, self.g_best) w_p = w_p_ / (w_p_ + w_g_) w_g = w_p_ / (w_p_ + w_g_) - + del w_p_ del w_g_ @@ -315,7 +332,7 @@ class Optimizer: p_ = np.exp(-1 * p_) w_p = p_ w_g = 1 - p_ - + del p_b del g_a del l_b @@ -339,7 +356,9 @@ class Optimizer: if score[0] < self.g_best_score[1]: self.g_best_score[1] = score[0] self.g_best = self.particles[i].get_best_weights() - epochs_pbar.set_description(f"best {self.g_best_score[0]:.4f} | {self.g_best_score[1]:.4f}") + epochs_pbar.set_description( + f"best {self.g_best_score[0]:.4f} | {self.g_best_score[1]:.4f}" + ) elif renewal == "loss": if score[0] <= self.g_best_score[1]: if score[0] < self.g_best_score[1]: @@ -349,7 +368,9 @@ class Optimizer: if score[1] > self.g_best_score[0]: self.g_best_score[0] = score[1] self.g_best = self.particles[i].get_best_weights() - epochs_pbar.set_description(f"best {self.g_best_score[0]:.4f} | {self.g_best_score[1]:.4f}") + epochs_pbar.set_description( + f"best {self.g_best_score[0]:.4f} | {self.g_best_score[1]:.4f}" + ) if score[0] == None: score[0] = np.inf @@ -386,7 +407,7 @@ class Optimizer: self.avg_score = acc / self.n_particles gc.collect() - + except KeyboardInterrupt: print("Ctrl + C : Stop Training") except MemoryError: @@ -407,7 +428,7 @@ class Optimizer: Returns: (keras.models): 모델 - """ + """ model = keras.models.model_from_json(self.model.to_json()) model.set_weights(self.g_best) model.compile(loss=self.loss, optimizer="sgd", metrics=["accuracy"]) @@ -459,7 +480,7 @@ class Optimizer: "a", ) as f: json.dump(json_save, f, indent=4) - + f.close() def _check_point_save(self, save_path: str = f"./result/check_point"): diff --git a/pso/particle.py b/pso/particle.py index 57c7f39..05e77e2 100644 --- a/pso/particle.py +++ b/pso/particle.py @@ -15,7 +15,10 @@ class Particle: 4. 가중치 업데이트 5. 2번으로 돌아가서 반복 """ - def __init__(self, model: keras.models, loss, negative: bool = False, mutation: float = 0): + + def __init__( + self, model: keras.models, loss, negative: bool = False, mutation: float = 0 + ): """ Args: model (keras.models): 학습 및 검증을 위한 모델 @@ -36,7 +39,7 @@ class Particle: del i_w_, s_, l_ del init_weights gc.collect() - + def __del__(self): del self.model del self.loss @@ -49,7 +52,7 @@ class Particle: def _encode(self, weights: list): """ 가중치를 1차원으로 풀어서 반환 - + Args: weights (list) : keras model의 가중치 Returns: @@ -68,12 +71,11 @@ class Particle: return w_gpu, shape, length - def _decode(self, weight: list, shape, length): """ _encode 로 인코딩된 가중치를 원본 shape으로 복원 파라미터는 encode의 리턴값을 그대로 사용을 권장 - + Args: weight (numpy array): 가중치 - 1차원으로 풀어서 반환 shape (list): 가중치의 원본 shape @@ -114,7 +116,7 @@ class Particle: self.best_score = score[1] self.best_weights = self.model.get_weights() elif renewal == "loss": - if score[0] == 'nan': + if score[0] == "nan": score[0] = np.inf if score[0] < self.best_score: self.best_score = score[0] @@ -150,13 +152,13 @@ class Particle: + local_rate * r0 * (encode_p - encode_w) + global_rate * r1 * (encode_g - encode_w) ) - + if np.random.rand() < self.mutation: m_v = np.random.uniform(-0.1, 0.1, len(encode_v)) new_v = m_v - + self.velocities = self._decode(new_v, w_sh, w_len) - + del encode_w, w_sh, w_len del encode_v, v_sh, v_len del encode_p, p_sh, p_len @@ -182,7 +184,7 @@ class Particle: encode_g, g_sh, g_len = self._encode(weights=g_best) r0 = np.random.rand() r1 = np.random.rand() - + if self.negative: new_v = ( w * encode_v @@ -195,13 +197,13 @@ class Particle: + local_rate * r0 * (w_p * encode_p - encode_w) + global_rate * r1 * (w_g * encode_g - encode_w) ) - + if np.random.rand() < self.mutation: m_v = np.random.uniform(-0.1, 0.1, len(encode_v)) - new_v = m_v - + new_v = m_v + self.velocities = self._decode(new_v, w_sh, w_len) - + del encode_w, w_sh, w_len del encode_v, v_sh, v_len del encode_p, p_sh, p_len @@ -216,7 +218,7 @@ class Particle: encode_v, v_sh, v_len = self._encode(weights=self.velocities) new_w = encode_w + encode_v self.model.set_weights(self._decode(new_w, w_sh, w_len)) - + del encode_w, w_sh, w_len del encode_v, v_sh, v_len @@ -234,7 +236,7 @@ class Particle: """ self.model.set_weights(weights) score = self.model.evaluate(x, y, verbose=0)[1] - + if score > 0: return 1 / (1 + score) else: @@ -258,7 +260,7 @@ class Particle: """ self._update_velocity(local_rate, global_rate, w, g_best) self._update_weights() - + return self.get_score(x, y, renewal) def step_w( @@ -284,7 +286,7 @@ class Particle: """ self._update_velocity_w(local_rate, global_rate, w, w_p, w_g, g_best) self._update_weights() - + return self.get_score(x, y, renewal) def get_best_score(self): diff --git a/xor.py b/xor.py index 1a77835..1688ea6 100644 --- a/xor.py +++ b/xor.py @@ -1,10 +1,11 @@ # %% import os -os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' +os.environ["TF_CPP_MIN_LOG_LEVEL"] = "2" import numpy as np import tensorflow as tf + # from pso_tf import PSO from pso import Optimizer from tensorflow import keras @@ -14,31 +15,64 @@ from tensorflow.keras.models import Sequential print(tf.__version__) print(tf.config.list_physical_devices()) + def get_data(): - x = np.array([[0, 0], [0, 1], [1, 0], [1, 1]]) + x = np.array([[0, 0], [0, 1], [1, 0], [1, 1]]) y = np.array([[0], [1], [1], [0]]) return x, y + def make_model(): leyer = [] - leyer.append(layers.Dense(2, activation='sigmoid', input_shape=(2,))) + leyer.append(layers.Dense(2, activation="sigmoid", input_shape=(2,))) # leyer.append(layers.Dense(2, activation='sigmoid')) - leyer.append(layers.Dense(1, activation='sigmoid')) + leyer.append(layers.Dense(1, activation="sigmoid")) model = Sequential(leyer) return model + # %% model = make_model() x_test, y_test = get_data() -loss = ['mean_squared_error', 'mean_squared_logarithmic_error', 'binary_crossentropy', 'categorical_crossentropy', 'sparse_categorical_crossentropy', 'kullback_leibler_divergence', 'poisson', 'cosine_similarity', 'log_cosh', 'huber_loss', 'mean_absolute_error', 'mean_absolute_percentage_error'] +loss = [ + "mean_squared_error", + "mean_squared_logarithmic_error", + "binary_crossentropy", + "categorical_crossentropy", + "sparse_categorical_crossentropy", + "kullback_leibler_divergence", + "poisson", + "cosine_similarity", + "log_cosh", + "huber_loss", + "mean_absolute_error", + "mean_absolute_percentage_error", +] -pso_xor = Optimizer(model, - loss=loss[0], n_particles=75, c0=0.35, c1=0.8, w_min=0.6, w_max=1.2, negative_swarm=0.25, mutation_swarm=0.25) +pso_xor = Optimizer( + model, + loss=loss[0], + n_particles=75, + c0=0.35, + c1=0.8, + w_min=0.6, + w_max=1.2, + negative_swarm=0.25, + mutation_swarm=0.25, +) best_score = pso_xor.fit( - x_test, y_test, epochs=200, save=True, save_path="./result/xor", renewal="acc", empirical_balance=False, Dispersion=False, check_point=25) + x_test, + y_test, + epochs=200, + save=True, + save_path="./result/xor", + renewal="acc", + empirical_balance=False, + Dispersion=False, + check_point=25, +) # %% -