"""
unzip the following datafile
tar


ref:
1. https://stackoverflow.com/questions/40118062/how-to-read-weights-saved-in-tensorflow-checkpoint-file
2. https://www.tensorflow.org/s/results/?q=freezegraph&p=%2F

Loading meta only might not work.
If the checkpoint contains:
model.ckpt.meta
model.ckpt.index
model.ckpt.data-XXXX

model_name = model.ckpt

If the checkpoint only contains model.ckpt
model_name = model.ckpt


Checked on inceptionv3 and mobilenet
"""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import argparse
import sys
import math
import pickle

import numpy as np
np.set_printoptions(precision=32)
from tensorflow.python import pywrap_tensorflow
from tensorflow.python.platform import app
from tensorflow.python.platform import flags
CHECK_ALL = True
# CHECK_ALL = True
weights_params = {}
bn_params = {}
# model_name = "../data/mobilenet_v1_1.0_224.ckpt"
model_name = "/local/scratch/yaz21/tmp2/model.ckpt-741000"
model_name = "/local/scratch/yaz21/tmp_alexnet/model.ckpt-255000"
reader = pywrap_tensorflow.NewCheckpointReader(model_name)
var_to_shape_map = reader.get_variable_to_shape_map()
TEST = False
w_vars_to_store = {}
b_vars_to_store = {}

for key in sorted(var_to_shape_map):
    if (key.endswith('/w')):
         w_vars_to_store[key] = reader.get_tensor(key)
         print (key)
         print(np.shape(w_vars_to_store[key]))
    if (key.endswith('/b')):
         b_vars_to_store[key] = reader.get_tensor(key)
         print(np.shape(b_vars_to_store[key]))
         print (key)

vars_to_store = [w_vars_to_store, b_vars_to_store]
with open('vgg_vars.pkl','wb') as f:
    pickle.dump(vars_to_store,f)

"""
unzip the following datafile
tar


ref:
1. https://stackoverflow.com/questions/40118062/how-to-read-weights-saved-in-tensorflow-checkpoint-file
2. https://www.tensorflow.org/s/results/?q=freezegraph&p=%2F

Loading meta only might not work.
If the checkpoint contains:
model.ckpt.meta
model.ckpt.index
model.ckpt.data-XXXX

model_name = model.ckpt

If the checkpoint only contains model.ckpt
model_name = model.ckpt


Checked on inceptionv3 and mobilenet
"""

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import argparse
import sys
import math
import pickle

import numpy as np
np.set_printoptions(precision=32)
from tensorflow.python import pywrap_tensorflow
from tensorflow.python.platform import app
from tensorflow.python.platform import flags
CHECK_ALL = True
# CHECK_ALL = True
weights_params = {}
bn_params = {}
# model_name = "../data/mobilenet_v1_1.0_224.ckpt"
model_name = "/local/scratch/yaz21/tmp2/model.ckpt-741000"
# model_name = "/local/scratch/yaz21/tmp_alexnet/model.ckpt-255000"
reader = pywrap_tensorflow.NewCheckpointReader(model_name)
var_to_shape_map = reader.get_variable_to_shape_map()
TEST = False
w_vars_to_store = {}
b_vars_to_store = {}

for key in sorted(var_to_shape_map):
    if (key.endswith('/w')):
         w_vars_to_store[key] = reader.get_tensor(key)
         print (key)
         print(np.shape(w_vars_to_store[key]))
    if (key.endswith('/b')):
         b_vars_to_store[key] = reader.get_tensor(key)
         print(np.shape(b_vars_to_store[key]))
         print (key)

vars_to_store = [w_vars_to_store, b_vars_to_store]
with open('vgg_vars.pkl','wb') as f:
    pickle.dump(vars_to_store,f)

fix type