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$ python Run_model_caffe_weight.py
/usr/local/lib/python2.7/dist-packages/h5py/init.py:36: FutureWarning: Conversion of the second argument of issubdtype from float to np.floating is deprecated. In future, it will be treated as np.float64 == np.dtype(float).type.
from ._conv import register_converters as _register_converters
Using TensorFlow backend.
2018-03-01 00:34:39.126798: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2018-03-01 00:34:39.126828: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2018-03-01 00:34:39.126839: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2018-03-01 00:34:39.126848: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2018-03-01 00:34:39.126854: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
2018-03-01 00:34:39.314734: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:893] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2018-03-01 00:34:39.315198: I tensorflow/core/common_runtime/gpu/gpu_device.cc:940] Found device 0 with properties:
name: GeForce 940MX
major: 5 minor: 0 memoryClockRate (GHz) 1.2415
pciBusID 0000:01:00.0
Total memory: 1.96GiB
Free memory: 1.68GiB
2018-03-01 00:34:39.315220: I tensorflow/core/common_runtime/gpu/gpu_device.cc:961] DMA: 0
2018-03-01 00:34:39.315228: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] 0: Y
2018-03-01 00:34:39.315236: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce 940MX, pci bus id: 0000:01:00.0)
Traceback (most recent call last):
File "Run_model_caffe_weight.py", line 11, in
Rnet = create_Kao_Rnet(r'24net.h5')
File "/home/akhil/Downloads/keras-mtcnn-master/Untitled Folder/MTCNN.py", line 53, in create_Kao_Rnet
model.load_weights(weight_path, by_name=True)
File "build/bdist.linux-x86_64/egg/keras/engine/topology.py", line 2649, in load_weights
File "build/bdist.linux-x86_64/egg/keras/engine/topology.py", line 3275, in load_weights_from_hdf5_group_by_name
File "build/bdist.linux-x86_64/egg/keras/backend/tensorflow_backend.py", line 2365, in batch_set_value
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variables.py", line 516, in assign
return state_ops.assign(self._variable, value, use_locking=use_locking)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/state_ops.py", line 271, in assign
validate_shape=validate_shape)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_state_ops.py", line 45, in assign
use_locking=use_locking, name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op
op_def=op_def)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2508, in create_op
set_shapes_for_outputs(ret)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1873, in set_shapes_for_outputs
shapes = shape_func(op)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1823, in call_with_requiring
return call_cpp_shape_fn(op, require_shape_fn=True)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/common_shapes.py", line 610, in call_cpp_shape_fn
debug_python_shape_fn, require_shape_fn)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/common_shapes.py", line 676, in _call_cpp_shape_fn_impl
raise ValueError(err.message)
ValueError: Dimension 0 in both shapes must be equal, but are 3 and 48 for 'Assign_9' (op: 'Assign') with input shapes: [3,3,28,48], [48,31,3,3]
The text was updated successfully, but these errors were encountered:
$ python Run_model_caffe_weight.py
/usr/local/lib/python2.7/dist-packages/h5py/init.py:36: FutureWarning: Conversion of the second argument of issubdtype from
float
tonp.floating
is deprecated. In future, it will be treated asnp.float64 == np.dtype(float).type
.from ._conv import register_converters as _register_converters
Using TensorFlow backend.
2018-03-01 00:34:39.126798: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2018-03-01 00:34:39.126828: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2018-03-01 00:34:39.126839: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2018-03-01 00:34:39.126848: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2018-03-01 00:34:39.126854: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
2018-03-01 00:34:39.314734: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:893] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2018-03-01 00:34:39.315198: I tensorflow/core/common_runtime/gpu/gpu_device.cc:940] Found device 0 with properties:
name: GeForce 940MX
major: 5 minor: 0 memoryClockRate (GHz) 1.2415
pciBusID 0000:01:00.0
Total memory: 1.96GiB
Free memory: 1.68GiB
2018-03-01 00:34:39.315220: I tensorflow/core/common_runtime/gpu/gpu_device.cc:961] DMA: 0
2018-03-01 00:34:39.315228: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] 0: Y
2018-03-01 00:34:39.315236: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1030] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce 940MX, pci bus id: 0000:01:00.0)
Traceback (most recent call last):
File "Run_model_caffe_weight.py", line 11, in
Rnet = create_Kao_Rnet(r'24net.h5')
File "/home/akhil/Downloads/keras-mtcnn-master/Untitled Folder/MTCNN.py", line 53, in create_Kao_Rnet
model.load_weights(weight_path, by_name=True)
File "build/bdist.linux-x86_64/egg/keras/engine/topology.py", line 2649, in load_weights
File "build/bdist.linux-x86_64/egg/keras/engine/topology.py", line 3275, in load_weights_from_hdf5_group_by_name
File "build/bdist.linux-x86_64/egg/keras/backend/tensorflow_backend.py", line 2365, in batch_set_value
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variables.py", line 516, in assign
return state_ops.assign(self._variable, value, use_locking=use_locking)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/state_ops.py", line 271, in assign
validate_shape=validate_shape)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_state_ops.py", line 45, in assign
use_locking=use_locking, name=name)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op
op_def=op_def)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2508, in create_op
set_shapes_for_outputs(ret)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1873, in set_shapes_for_outputs
shapes = shape_func(op)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1823, in call_with_requiring
return call_cpp_shape_fn(op, require_shape_fn=True)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/common_shapes.py", line 610, in call_cpp_shape_fn
debug_python_shape_fn, require_shape_fn)
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/common_shapes.py", line 676, in _call_cpp_shape_fn_impl
raise ValueError(err.message)
ValueError: Dimension 0 in both shapes must be equal, but are 3 and 48 for 'Assign_9' (op: 'Assign') with input shapes: [3,3,28,48], [48,31,3,3]
The text was updated successfully, but these errors were encountered: