| /external/tensorflow/tensorflow/tools/api/golden/ |
| tensorflow.layers.-layer.pbtxt | 78 name: "weights"
|
| tensorflow.layers.-max-pooling1-d.pbtxt | 80 name: "weights"
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| tensorflow.layers.-max-pooling2-d.pbtxt | 80 name: "weights"
|
| tensorflow.layers.-max-pooling3-d.pbtxt | 80 name: "weights"
|
| tensorflow.layers.-separable-conv1-d.pbtxt | 81 name: "weights"
|
| tensorflow.layers.-separable-conv2-d.pbtxt | 81 name: "weights"
|
| tensorflow.nn.pbtxt | 221 argspec: "args=[\'weights\', \'biases\', \'labels\', \'inputs\', \'num_sampled\', \'num_classes\', \'num_true\', \'sampled_values\', \'remove_accidental_hits\', \'partition_strategy\', \'name\'], varargs=None, keywords=None, defaults=[\'1\', \'None\', \'False\', \'mod\', \'nce_loss\'], "
261 argspec: "args=[\'x\', \'weights\', \'biases\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
265 argspec: "args=[\'weights\', \'biases\', \'labels\', \'inputs\', \'num_sampled\', \'num_classes\', \'num_true\', \'sampled_values\', \'remove_accidental_hits\', \'partition_strategy\', \'name\', \'seed\'], varargs=None, keywords=None, defaults=[\'1\', \'None\', \'True\', \'mod\', \'sampled_softmax_loss\', \'None\'], "
349 argspec: "args=[\'x\', \'weights\', \'biases\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
|
| tensorflow.nn.rnn_cell.-basic-l-s-t-m-cell.pbtxt | 89 name: "weights"
|
| tensorflow.nn.rnn_cell.-basic-r-n-n-cell.pbtxt | 89 name: "weights"
|
| tensorflow.nn.rnn_cell.-device-wrapper.pbtxt | 88 name: "weights"
|
| tensorflow.nn.rnn_cell.-dropout-wrapper.pbtxt | 88 name: "weights"
|
| tensorflow.nn.rnn_cell.-g-r-u-cell.pbtxt | 89 name: "weights"
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| tensorflow.nn.rnn_cell.-l-s-t-m-cell.pbtxt | 89 name: "weights"
|
| tensorflow.nn.rnn_cell.-multi-r-n-n-cell.pbtxt | 88 name: "weights"
|
| tensorflow.nn.rnn_cell.-r-n-n-cell.pbtxt | 87 name: "weights"
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| tensorflow.nn.rnn_cell.-residual-wrapper.pbtxt | 88 name: "weights"
|
| /external/valgrind/exp-bbv/docs/ |
| bbv-manual.xml | 84 -saveSimpointWeights results.weights]]></programlisting>
100 and <computeroutput>results.weights</computeroutput> files.
103 extrapolating full-program behavior. The intervals and the weights
107 statistics gathered in conjunction with the weights to
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| /external/webrtc/webrtc/base/ |
| rollingaccumulator.h | 124 // Weights nth sample with weight (learning_rate)^n. Learning_rate should be
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| /frameworks/ml/nn/common/operations/ |
| LSTM.h | 76 // Peephole weights tensors of size {n_cell}, representing a diagonal matrix.
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| /prebuilts/clang/host/darwin-x86/clang-4053586/prebuilt_include/llvm/include/llvm/CodeGen/ |
| CalcSpillWeights.h | 72 /// \brief Compute spill weights and allocation hints for all virtual register
|
| MachineBranchProbabilityInfo.h | 31 // weight to an edge that may have siblings with non-zero weights. This can
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| /prebuilts/clang/host/darwin-x86/clang-4393122/include/llvm/CodeGen/ |
| CalcSpillWeights.h | 72 /// \brief Compute spill weights and allocation hints for all virtual register
|
| MachineBranchProbabilityInfo.h | 31 // weight to an edge that may have siblings with non-zero weights. This can
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| /prebuilts/clang/host/darwin-x86/clang-4479392/include/llvm/CodeGen/ |
| CalcSpillWeights.h | 72 /// \brief Compute spill weights and allocation hints for all virtual register
|
| MachineBranchProbabilityInfo.h | 31 // weight to an edge that may have siblings with non-zero weights. This can
|
