/external/tensorflow/tensorflow/python/keras/optimizer_v2/ |
D | adam.py | 134 def _prepare_local(self, var_device, var_dtype, apply_state): argument 166 def _resource_apply_dense(self, grad, var, apply_state=None): argument 203 def _resource_apply_sparse(self, grad, var, indices, apply_state=None): argument 386 def _prepare_local(self, var_device, var_dtype, apply_state): argument 420 def _resource_apply_dense(self, grad, var, apply_state=None): argument 441 def _resource_apply_sparse(self, grad, var, indices, apply_state=None): argument
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D | adamax.py | 113 def _prepare_local(self, var_device, var_dtype, apply_state): argument 133 def _resource_apply_dense(self, grad, var, apply_state=None): argument 152 def _resource_apply_sparse(self, grad, var, indices, apply_state=None): argument
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D | ftrl.py | 139 def _prepare_local(self, var_device, var_dtype, apply_state): argument 153 def _resource_apply_dense(self, grad, var, apply_state=None): argument 191 def _resource_apply_sparse(self, grad, var, indices, apply_state=None): argument
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D | adadelta.py | 100 def _prepare_local(self, var_device, var_dtype, apply_state): argument 117 def _resource_apply_dense(self, grad, var, apply_state=None): argument 134 def _resource_apply_sparse(self, grad, var, indices, apply_state=None): argument
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D | nadam.py | 109 def _prepare_local(self, var_device, var_dtype, apply_state): argument 150 def _resource_apply_dense(self, grad, var, apply_state=None): argument 173 def _resource_apply_sparse(self, grad, var, indices, apply_state=None): argument
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D | gradient_descent.py | 127 def _prepare_local(self, var_device, var_dtype, apply_state): argument 132 def _resource_apply_dense(self, grad, var, apply_state=None): argument 169 def _resource_apply_sparse(self, grad, var, indices, apply_state=None): argument
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D | rmsprop.py | 163 def _prepare_local(self, var_device, var_dtype, apply_state): argument 176 def _resource_apply_dense(self, grad, var, apply_state=None): argument 222 def _resource_apply_sparse(self, grad, var, indices, apply_state=None): argument
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D | adagrad.py | 86 def _prepare_local(self, var_device, var_dtype, apply_state): argument 127 def _resource_apply_dense(self, grad, var, apply_state=None): argument 141 def _resource_apply_sparse(self, grad, var, indices, apply_state=None): argument
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D | optimizer_v2.py | 676 def _distributed_apply(self, distribution, grads_and_vars, name, apply_state): argument 945 def _prepare_local(self, var_device, var_dtype, apply_state): argument 1236 def _resource_apply_dense(self, grad, handle, apply_state): argument 1278 def _resource_apply_sparse(self, grad, handle, indices, apply_state): argument
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