Python mxnet.initializer.InitDesc() Examples
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Example #1
Source File: module.py From Deformable-ConvNets with MIT License | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False, allow_extra=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params)
Example #2
Source File: module.py From Decoupled-Classification-Refinement with MIT License | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False, allow_extra=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params)
Example #3
Source File: module.py From Decoupled-Classification-Refinement with MIT License | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False, allow_extra=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params)
Example #4
Source File: module.py From Decoupled-Classification-Refinement with MIT License | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False, allow_extra=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params)
Example #5
Source File: module.py From Decoupled-Classification-Refinement with MIT License | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False, allow_extra=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params)
Example #6
Source File: module.py From Sequence-Level-Semantics-Aggregation with Apache License 2.0 | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False, allow_extra=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params)
Example #7
Source File: module.py From Faster_RCNN_for_DOTA with Apache License 2.0 | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False, allow_extra=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params, allow_extra=allow_extra)
Example #8
Source File: module.py From Accel with MIT License | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params)
Example #9
Source File: module.py From Accel with MIT License | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False, allow_extra=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params)
Example #10
Source File: module.py From Accel with MIT License | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params)
Example #11
Source File: module.py From Accel with MIT License | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params)
Example #12
Source File: module.py From Relation-Networks-for-Object-Detection with MIT License | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False, allow_extra=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params)
Example #13
Source File: module.py From RoITransformer_DOTA with MIT License | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False, allow_extra=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params)
Example #14
Source File: module.py From RoITransformer_DOTA with MIT License | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False, allow_extra=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params)
Example #15
Source File: module.py From Deep-Feature-Flow-Segmentation with MIT License | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False, allow_extra=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params)
Example #16
Source File: module.py From Deformable-ConvNets with MIT License | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False, allow_extra=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params)
Example #17
Source File: module.py From Deformable-ConvNets with MIT License | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False, allow_extra=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params)
Example #18
Source File: module.py From Deformable-ConvNets with MIT License | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False, allow_extra=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params)
Example #19
Source File: module.py From Flow-Guided-Feature-Aggregation with MIT License | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params)
Example #20
Source File: module.py From Deep-Feature-Flow with MIT License | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params)
Example #21
Source File: module.py From Deep-Feature-Flow with MIT License | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params)
Example #22
Source File: module.py From MANet_for_Video_Object_Detection with Apache License 2.0 | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params)
Example #23
Source File: module.py From kaggle-rsna18 with MIT License | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False, allow_extra=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params)
Example #24
Source File: module.py From kaggle-rsna18 with MIT License | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False, allow_extra=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params)
Example #25
Source File: module.py From kaggle-rsna18 with MIT License | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False, allow_extra=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params)
Example #26
Source File: module.py From kaggle-rsna18 with MIT License | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False, allow_extra=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params)
Example #27
Source File: module.py From kaggle-rsna18 with MIT License | 4 votes |
def init_params(self, initializer=Uniform(0.01), arg_params=None, aux_params=None, allow_missing=False, force_init=False, allow_extra=False): """Initialize the parameters and auxiliary states. Parameters ---------- initializer : Initializer Called to initialize parameters if needed. arg_params : dict If not None, should be a dictionary of existing arg_params. Initialization will be copied from that. aux_params : dict If not None, should be a dictionary of existing aux_params. Initialization will be copied from that. allow_missing : bool If true, params could contain missing values, and the initializer will be called to fill those missing params. force_init : bool If true, will force re-initialize even if already initialized. """ if self.params_initialized and not force_init: warnings.warn("Parameters already initialized and force_init=False. " "init_params call ignored.", stacklevel=2) return assert self.binded, 'call bind before initializing the parameters' def _impl(name, arr, cache): """Internal helper for parameter initialization""" if cache is not None: if name in cache: cache_arr = cache[name] # just in case the cached array is just the target itself if cache_arr is not arr: cache_arr.copyto(arr) else: if not allow_missing: raise RuntimeError("%s is not presented" % name) if initializer != None: initializer(name, arr) else: initializer(name, arr) attrs = self._symbol.attr_dict() for name, arr in self._arg_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, arg_params) for name, arr in self._aux_params.items(): desc = InitDesc(name, attrs.get(name, None)) _impl(desc, arr, aux_params) self.params_initialized = True self._params_dirty = False # copy the initialized parameters to devices self._exec_group.set_params(self._arg_params, self._aux_params)