0728-1750
Browse files- diffusion.py +2 -2
- quantify_results.ipynb +16 -101
diffusion.py
CHANGED
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@@ -560,7 +560,7 @@ class DDPM21CM:
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| 560 |
def save(self, ep):
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# save model
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# if self.accelerator.is_main_process:
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-
if torch.cuda.current_device() == 0:
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if ep == self.config.n_epoch-1 or (ep+1) % self.config.save_period == 0:
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self.nn_model.eval()
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with torch.no_grad():
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@@ -674,7 +674,7 @@ def train(rank, world_size, local_world_size, master_addr, master_port):
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config = TrainConfig()
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config.device = f"cuda:{rank}"
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config.world_size = local_world_size
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-
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#[3200]#[200]#[1600,3200,6400,12800,25600]
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#for i, num_image in enumerate(num_train_image_list):
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#config.num_image = num_image
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def save(self, ep):
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| 561 |
# save model
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# if self.accelerator.is_main_process:
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| 563 |
+
if self.config.global_rank == 0:# and torch.cuda.current_device() == 0:
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| 564 |
if ep == self.config.n_epoch-1 or (ep+1) % self.config.save_period == 0:
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| 565 |
self.nn_model.eval()
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| 566 |
with torch.no_grad():
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| 674 |
config = TrainConfig()
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config.device = f"cuda:{rank}"
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config.world_size = local_world_size
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| 677 |
+
config.global_rank = global_rank
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| 678 |
#[3200]#[200]#[1600,3200,6400,12800,25600]
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#for i, num_image in enumerate(num_train_image_list):
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#config.num_image = num_image
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quantify_results.ipynb
CHANGED
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@@ -76,121 +76,36 @@
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},
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{
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"cell_type": "code",
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-
"execution_count":
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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-
"total
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"drwxr-xr-x
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"-rw-r--r-- 1 bxia34 607850537 Jul 28 17:
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"-rw-r--r-- 1 bxia34 607850537 Jul 28 17:
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]
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}
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],
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"source": [
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"ll outputs"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"metadata": {},
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"outputs": [],
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"source": [
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"model0 = torch.load(\"outputs/model_state-N30-device_count3-epoch4-172.27.145.66\")\n",
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"model1 = torch.load(\"outputs/model_state-N30-device_count3-epoch4-172.27.145.67\")"
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"execution_count": 15,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"dict_keys(['epoch', 'unet_state_dict'])"
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]
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},
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"execution_count": 15,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"model0.keys()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"4"
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]
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},
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"execution_count": 16,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"model0['epoch']"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"metadata": {},
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"outputs": [],
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"source": [
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"state0 = model0['unet_state_dict']\n",
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"state1 = model1['unet_state_dict']"
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-
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"cell_type": "code",
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"execution_count": 18,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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| 165 |
-
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'output_blocks.7.0.skip_connection.weight', 'output_blocks.7.0.skip_connection.bias', 'output_blocks.7.1.norm.weight', 'output_blocks.7.1.norm.bias', 'output_blocks.7.1.qkv.weight', 'output_blocks.7.1.qkv.bias', 'output_blocks.7.1.proj_out.weight', 'output_blocks.7.1.proj_out.bias', 'output_blocks.8.0.in_layers.0.weight', 'output_blocks.8.0.in_layers.0.bias', 'output_blocks.8.0.in_layers.2.weight', 'output_blocks.8.0.in_layers.2.bias', 'output_blocks.8.0.emb_layers.1.weight', 'output_blocks.8.0.emb_layers.1.bias', 'output_blocks.8.0.out_layers.0.weight', 'output_blocks.8.0.out_layers.0.bias', 'output_blocks.8.0.out_layers.3.weight', 'output_blocks.8.0.out_layers.3.bias', 'output_blocks.8.0.skip_connection.weight', 'output_blocks.8.0.skip_connection.bias', 'output_blocks.8.1.norm.weight', 'output_blocks.8.1.norm.bias', 'output_blocks.8.1.qkv.weight', 'output_blocks.8.1.qkv.bias', 'output_blocks.8.1.proj_out.weight', 'output_blocks.8.1.proj_out.bias', 'output_blocks.8.2.conv.weight', 'output_blocks.8.2.conv.bias', 'output_blocks.9.0.in_layers.0.weight', 'output_blocks.9.0.in_layers.0.bias', 'output_blocks.9.0.in_layers.2.weight', 'output_blocks.9.0.in_layers.2.bias', 'output_blocks.9.0.emb_layers.1.weight', 'output_blocks.9.0.emb_layers.1.bias', 'output_blocks.9.0.out_layers.0.weight', 'output_blocks.9.0.out_layers.0.bias', 'output_blocks.9.0.out_layers.3.weight', 'output_blocks.9.0.out_layers.3.bias', 'output_blocks.9.0.skip_connection.weight', 'output_blocks.9.0.skip_connection.bias', 'output_blocks.10.0.in_layers.0.weight', 'output_blocks.10.0.in_layers.0.bias', 'output_blocks.10.0.in_layers.2.weight', 'output_blocks.10.0.in_layers.2.bias', 'output_blocks.10.0.emb_layers.1.weight', 'output_blocks.10.0.emb_layers.1.bias', 'output_blocks.10.0.out_layers.0.weight', 'output_blocks.10.0.out_layers.0.bias', 'output_blocks.10.0.out_layers.3.weight', 'output_blocks.10.0.out_layers.3.bias', 'output_blocks.10.0.skip_connection.weight', 'output_blocks.10.0.skip_connection.bias', 'output_blocks.11.0.in_layers.0.weight', 'output_blocks.11.0.in_layers.0.bias', 'output_blocks.11.0.in_layers.2.weight', 'output_blocks.11.0.in_layers.2.bias', 'output_blocks.11.0.emb_layers.1.weight', 'output_blocks.11.0.emb_layers.1.bias', 'output_blocks.11.0.out_layers.0.weight', 'output_blocks.11.0.out_layers.0.bias', 'output_blocks.11.0.out_layers.3.weight', 'output_blocks.11.0.out_layers.3.bias', 'output_blocks.11.0.skip_connection.weight', 'output_blocks.11.0.skip_connection.bias', 'output_blocks.11.1.conv.weight', 'output_blocks.11.1.conv.bias', 'output_blocks.12.0.in_layers.0.weight', 'output_blocks.12.0.in_layers.0.bias', 'output_blocks.12.0.in_layers.2.weight', 'output_blocks.12.0.in_layers.2.bias', 'output_blocks.12.0.emb_layers.1.weight', 'output_blocks.12.0.emb_layers.1.bias', 'output_blocks.12.0.out_layers.0.weight', 'output_blocks.12.0.out_layers.0.bias', 'output_blocks.12.0.out_layers.3.weight', 'output_blocks.12.0.out_layers.3.bias', 'output_blocks.12.0.skip_connection.weight', 'output_blocks.12.0.skip_connection.bias', 'output_blocks.13.0.in_layers.0.weight', 'output_blocks.13.0.in_layers.0.bias', 'output_blocks.13.0.in_layers.2.weight', 'output_blocks.13.0.in_layers.2.bias', 'output_blocks.13.0.emb_layers.1.weight', 'output_blocks.13.0.emb_layers.1.bias', 'output_blocks.13.0.out_layers.0.weight', 'output_blocks.13.0.out_layers.0.bias', 'output_blocks.13.0.out_layers.3.weight', 'output_blocks.13.0.out_layers.3.bias', 'output_blocks.13.0.skip_connection.weight', 'output_blocks.13.0.skip_connection.bias', 'output_blocks.14.0.in_layers.0.weight', 'output_blocks.14.0.in_layers.0.bias', 'output_blocks.14.0.in_layers.2.weight', 'output_blocks.14.0.in_layers.2.bias', 'output_blocks.14.0.emb_layers.1.weight', 'output_blocks.14.0.emb_layers.1.bias', 'output_blocks.14.0.out_layers.0.weight', 'output_blocks.14.0.out_layers.0.bias', 'output_blocks.14.0.out_layers.3.weight', 'output_blocks.14.0.out_layers.3.bias', 'output_blocks.14.0.skip_connection.weight', 'output_blocks.14.0.skip_connection.bias', 'out.0.weight', 'out.0.bias', 'out.2.weight', 'out.2.bias'])"
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| 166 |
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]
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| 167 |
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},
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| 168 |
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"execution_count": 18,
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| 169 |
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"metadata": {},
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"output_type": "execute_result"
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| 171 |
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}
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],
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"source": [
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"state0.keys()"
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| 175 |
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]
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| 176 |
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},
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| 177 |
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{
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| 178 |
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"cell_type": "code",
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| 179 |
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"execution_count": 19,
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| 180 |
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"metadata": {},
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| 181 |
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"outputs": [
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| 182 |
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{
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| 183 |
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"end\n"
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]
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}
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| 189 |
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],
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"source": [
|
| 191 |
"for key in state0.keys():\n",
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" # print(key)\n",
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" if not torch.equal(
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| 194 |
" print(key, \"different\")\n",
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| 195 |
" # break\n",
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| 196 |
" # else:\n",
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| 76 |
},
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| 77 |
{
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| 78 |
"cell_type": "code",
|
| 79 |
+
"execution_count": 20,
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| 80 |
"metadata": {},
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| 81 |
"outputs": [
|
| 82 |
{
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| 83 |
"name": "stdout",
|
| 84 |
"output_type": "stream",
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| 85 |
"text": [
|
| 86 |
+
"total 1187284\n",
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| 87 |
+
"drwxr-xr-x 164 bxia34 12288 Jul 28 17:34 \u001b[0m\u001b[01;34mlogs\u001b[0m/\n",
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| 88 |
+
"-rw-r--r-- 1 bxia34 607850537 Jul 28 17:35 model_state-N30-device_count3-epoch4-172.27.145.66\n",
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| 89 |
+
"-rw-r--r-- 1 bxia34 607850537 Jul 28 17:35 model_state-N30-device_count3-epoch4-172.27.145.67\n"
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| 90 |
]
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| 91 |
}
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| 92 |
],
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| 93 |
"source": [
|
| 94 |
+
"ll outputs\n",
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| 95 |
"model0 = torch.load(\"outputs/model_state-N30-device_count3-epoch4-172.27.145.66\")\n",
|
| 96 |
+
"model1 = torch.load(\"outputs/model_state-N30-device_count3-epoch4-172.27.145.67\")\n",
|
| 97 |
+
"model00 = torch.load(\"outputs/model_state-N30-device_count3-epoch4-172.27.145.66\")\n",
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| 98 |
+
"model11 = torch.load(\"outputs/model_state-N30-device_count3-epoch4-172.27.145.67\")\n",
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| 99 |
+
"model0.keys()\n",
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| 100 |
+
"model0['epoch']\n",
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| 101 |
"state0 = model0['unet_state_dict']\n",
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| 102 |
+
"state1 = model1['unet_state_dict']\n",
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| 103 |
+
"state00 = model00['unet_state_dict']\n",
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| 104 |
+
"state11 = model11['unet_state_dict']\n",
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| 105 |
+
"state0.keys()\n",
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| 106 |
"for key in state0.keys():\n",
|
| 107 |
" # print(key)\n",
|
| 108 |
+
" if not torch.equal(state00[key],state11[key]):\n",
|
| 109 |
" print(key, \"different\")\n",
|
| 110 |
" # break\n",
|
| 111 |
" # else:\n",
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