| /external/tensorflow/tensorflow/python/ops/ |
| D | math_grad.py | 39 def _ArgMaxGrad(op, grad): argument
45 def _ArgMinGrad(op, grad): argument
55 def _SumGrad(op, grad): argument
91 def _MinOrMaxGrad(op, grad): argument
110 def _MaxGrad(op, grad): argument
116 def _MinGrad(op, grad): argument
121 def _MeanGrad(op, grad): argument
141 def _ProdGrad(op, grad): argument
189 def _SegmentSumGrad(op, grad): argument
195 def _SegmentMeanGrad(op, grad): argument
[all …]
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| D | array_grad.py | 36 def _PackGrad(op, grad): argument
47 def _ConcatGradHelper(op, grad, start_value_index, end_value_index, dim_index): argument
211 def _ConcatGrad(op, grad): argument
221 def _ConcatGradV2(op, grad): argument
230 def _SliceGrad(op, grad): argument
255 def _StridedSliceGrad(op, grad): argument
281 def _StridedSliceGradGrad(op, grad): argument
318 def _DiagGrad(_, grad): argument
323 def _DiagPartGrad(_, grad): argument
328 def _MatrixDiagGrad(_, grad): argument
[all …]
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| D | nn_grad.py | 33 def _Conv2DBackpropInputGrad(op, grad): argument
66 def _Conv2DBackpropFilterGrad(op, grad): argument
89 def _DepthwiseConv2dNativeBackpropInputGrad(op, grad): argument
120 def _DepthwiseConv2dNativeBackpropFilterGrad(op, grad): argument
141 def _Conv3DGrad(op, grad): argument
164 def _Conv3DBackpropInputGrad(op, grad): argument
187 def _Conv3DBackpropFilterGrad(op, grad): argument
209 def _AvgPool3DGrad(op, grad): argument
220 def _AvgPool3DGradGrad(op, grad): argument
231 def _MaxPool3DGrad(op, grad): argument
[all …]
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| D | control_flow_grad.py | 35 def _SwitchGrad(op, *grad):
96 def _MergeGrad(op, grad, _): argument
142 def _RefMergeGrad(op, grad, _): argument
147 def _ExitGrad(op, grad): argument
189 def _NextIterationGrad(_, grad): argument
198 def _RefNextIterationGrad(_, grad): argument
203 def _EnterGrad(op, grad): argument
236 def _RefEnterGrad(op, grad): argument
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| D | image_grad.py | 28 def _ResizeNearestNeighborGrad(op, grad): argument
53 def _ResizeBilinearGrad(op, grad): argument
72 def _ScaleAndTranslateGrad(op, grad): argument
94 def _ResizeBicubicGrad(op, grad): argument
116 def _CropAndResizeGrad(op, grad): argument
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| D | linalg_grad.py | 39 def _MatrixInverseGrad(op, grad): argument
47 def _MatrixDeterminantGrad(op, grad): argument
59 def _MatrixSquareRootGrad(op, grad): argument
135 def _CholeskyGrad(op, grad): argument
191 def _MatrixSolveGrad(op, grad): argument
205 def _MatrixSolveLsGrad(op, grad): argument
214 def _Overdetermined(op, grad): argument
239 def _Underdetermined(op, grad): argument
284 def _MatrixTriangularSolveGrad(op, grad): argument
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| D | sparse_grad.py | 149 def _SparseTensorDenseMatMulGrad(op, grad): argument
210 def _SparseDenseCwiseMulOrDivGrad(op, grad, is_mul): argument
245 def _SparseDenseCwiseMulGrad(op, grad): argument
251 def _SparseDenseCwiseDivGrad(op, grad): argument
257 def _SparseSoftmaxGrad(op, grad): argument
316 def _SparseToDenseGrad(op, grad): argument
|
| /external/tensorflow/tensorflow/python/ops/signal/ |
| D | fft_ops.py | 171 def _fft_size_for_grad(grad, rank): argument
176 def _fft_grad(_, grad): argument
182 def _ifft_grad(_, grad): argument
190 def _fft2d_grad(_, grad): argument
196 def _ifft2d_grad(_, grad): argument
204 def _fft3d_grad(_, grad): argument
210 def _ifft3d_grad(_, grad): argument
222 def _grad(op, grad): argument
302 def _grad(op, grad): argument
|
| /external/tensorflow/tensorflow/contrib/opt/python/training/ |
| D | lars_optimizer.py | 102 def compute_lr(self, grad, var): argument
118 def _apply_dense(self, grad, var): argument
130 def _resource_apply_dense(self, grad, var): argument
143 def _apply_sparse(self, grad, var): argument
155 def _resource_apply_sparse(self, grad, var, indices): argument
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| D | nadam_optimizer.py | 35 def _apply_dense(self, grad, var): argument
53 def _resource_apply_dense(self, grad, var): argument
71 def _apply_sparse_shared(self, grad, var, indices, scatter_add): argument
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| D | reg_adagrad_optimizer.py | 67 def _apply_dense(self, grad, var): argument
77 def _resource_apply_dense(self, grad, var, update_slots=True): argument
87 def _apply_sparse(self, grad, var, update_slots=True): argument
98 def _resource_apply_sparse(self, grad, var, indices, update_slots=True): argument
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| D | adam_gs_optimizer.py | 145 def _apply_dense(self, grad, var): argument
162 def _resource_apply_dense(self, grad, var): argument
179 def _apply_sparse_shared(self, grad, var, indices, scatter_add): argument
205 def _apply_sparse(self, grad, var): argument
221 def _resource_apply_sparse(self, grad, var, indices): argument
|
| D | adamax.py | 111 def _apply_dense(self, grad, var): argument
124 def _resource_apply_dense(self, grad, var): argument
137 def _apply_sparse_shared(self, grad, var, indices, argument
164 def _apply_sparse(self, grad, var): argument
178 def _resource_apply_sparse(self, grad, var, indices): argument
|
| /external/tensorflow/tensorflow/python/training/ |
| D | gradient_descent.py | 55 def _apply_dense(self, grad, var): argument
62 def _resource_apply_dense(self, grad, handle): argument
68 def _resource_apply_sparse_duplicate_indices(self, grad, handle, indices): argument
72 def _apply_sparse_duplicate_indices(self, grad, var): argument
|
| D | proximal_gradient_descent.py | 61 def _apply_dense(self, grad, var): argument
70 def _resource_apply_dense(self, grad, var): argument
79 def _apply_sparse(self, grad, var): argument
89 def _resource_apply_sparse(self, grad, var, indices): argument
|
| D | momentum.py | 95 def _apply_dense(self, grad, var): argument
105 def _resource_apply_dense(self, grad, var): argument
115 def _apply_sparse(self, grad, var): argument
125 def _resource_apply_sparse(self, grad, var, indices): argument
|
| D | adadelta.py | 81 def _apply_dense(self, grad, var): argument
94 def _resource_apply_dense(self, grad, var): argument
107 def _apply_sparse(self, grad, var): argument
121 def _resource_apply_sparse(self, grad, var, indices): argument
|
| D | proximal_adagrad.py | 88 def _apply_dense(self, grad, var): argument
96 def _resource_apply_dense(self, grad, var): argument
104 def _apply_sparse(self, grad, var): argument
113 def _resource_apply_sparse(self, grad, var, indices): argument
|
| D | rmsprop.py | 140 def _apply_dense(self, grad, var): argument
168 def _resource_apply_dense(self, grad, var): argument
196 def _apply_sparse(self, grad, var): argument
226 def _resource_apply_sparse(self, grad, var, indices): argument
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| D | adagrad_da.py | 108 def _apply_dense(self, grad, var): argument
124 def _resource_apply_dense(self, grad, var): argument
140 def _apply_sparse(self, grad, var): argument
157 def _resource_apply_sparse(self, grad, var, indices): argument
|
| D | adam.py | 145 def _apply_dense(self, grad, var): argument
162 def _resource_apply_dense(self, grad, var): argument
179 def _apply_sparse_shared(self, grad, var, indices, scatter_add): argument
205 def _apply_sparse(self, grad, var): argument
221 def _resource_apply_sparse(self, grad, var, indices): argument
|
| D | adagrad.py | 96 def _apply_dense(self, grad, var): argument
105 def _resource_apply_dense(self, grad, var): argument
114 def _apply_sparse(self, grad, var): argument
124 def _resource_apply_sparse(self, grad, var, indices): argument
|
| /external/tensorflow/tensorflow/contrib/optimizer_v2/ |
| D | gradient_descent.py | 47 def _apply_dense(self, grad, var, state): argument
54 def _resource_apply_dense(self, grad, handle, state): argument
59 def _resource_apply_sparse_duplicate_indices(self, grad, handle, indices, argument
65 def _apply_sparse_duplicate_indices(self, grad, var, state): argument
|
| D | momentum.py | 80 def _apply_dense(self, grad, var, state): argument
91 def _resource_apply_dense(self, grad, var, state): argument
102 def _apply_sparse(self, grad, var, state): argument
114 def _resource_apply_sparse(self, grad, var, indices, state): argument
|
| D | adadelta.py | 61 def _apply_dense(self, grad, var, state): argument
74 def _resource_apply_dense(self, grad, var, state): argument
87 def _apply_sparse(self, grad, var, state): argument
101 def _resource_apply_sparse(self, grad, var, indices, state): argument
|