Created
February 10, 2019 18:17
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| def _build_and_compile_gan(self): | |
| imageX = Input(shape=self.img_shape) | |
| imageY = Input(shape=self.img_shape) | |
| fakeY = self._generatorXY(imageX) | |
| fakeX = self._generatorYX(imageY) | |
| reconstructedX = self._generatorYX(fakeY) | |
| reconstructedY = self._generatorXY(fakeX) | |
| imageX_id = self._generatorYX(imageX) | |
| imageY_id = self._generatorXY(imageY) | |
| self._discriminatorX.trainable = False | |
| self._discriminatorY.trainable = False | |
| validX = self._discriminatorX(fakeX) | |
| validY = self._discriminatorY(fakeY) | |
| self.gan = Model(inputs=[imageX, imageY], | |
| outputs=[ validX, validY, | |
| reconstructedX, reconstructedY, | |
| imageX_id, imageY_id ]) | |
| self.gan.compile(loss=['mse', 'mse', | |
| 'mae', 'mae', | |
| 'mae', 'mae'], | |
| loss_weights=[ 1, 1, | |
| self.cycle_lambda, self.cycle_lambda, | |
| self.id_lambda, self.id_lambda ], | |
| optimizer=self.optimizer) | |
| self.gan.summary() |
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