| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| embedding_ops.py | 64 Invalid IDs (< 0) are pruned from input IDs and weights, as well as any IDs
68 The ids and weights may be multi-dimensional. Embeddings are always aggregated
80 float weights corresponding to `sparse_ids`, or `None` if all weights
125 # Reshape higher-rank sparse ids and weights to linear segment ids.
141 # Prune invalid ids and weights.
187 """Prune invalid IDs (< 0) from the input ids and weights."""
574 """Computes embeddings for the given ids and weights.
588 sp_weights: either a SparseTensor of float / double weights, or None to
589 indicate all weights should be taken to be 1. If specified, sp_weight
[all...] |
| regularizers_test.py | 43 weights = constant_op.constant(values)
45 result = sess.run(regularizers.l1_regularizer(.5)(weights))
58 weights = constant_op.constant(values)
60 result = sess.run(regularizers.l2_regularizer(.42)(weights))
123 weights = constant_op.constant(values)
126 l1_result1 = sess.run(l1_reg1(weights))
129 l1_result2 = sess.run(l1_reg2(weights))
132 l1_l2_result = sess.run(l1_l2_reg(weights))
|
| /development/samples/ApiDemos/src/com/example/android/apis/view/ |
| Baseline7.java | 26 * Baseline alignment in RelativeLayout with various font weights.
|
| /external/icu/icu4c/source/test/intltest/ |
| alphaindextst.h | 39 * Test labels with multiple primary weights.
|
| /external/libopus/silk/ |
| process_NLSFs.c | 66 /* Calculate NLSF weights */
69 /* Update NLSF weights for interpolated NLSFs */
76 /* Calculate first half NLSF weights for the interpolated NLSFs */
79 /* Update NLSF weights with contribution from first half */
|
| /external/llvm/test/CodeGen/AArch64/ |
| fast-isel-branch_weights.ll | 4 ; Test if the BBs are reordred according to their branch weights.
|
| /external/llvm/test/CodeGen/X86/ |
| fast-isel-branch_weights.ll | 4 ; Test if the BBs are reordred according to their branch weights.
|
| /external/skia/include/effects/ |
| SkBlurImageFilter.h | 18 /*!< This re-weights the filter so samples outside have no effect */
|
| /external/skqp/include/effects/ |
| SkBlurImageFilter.h | 18 /*!< This re-weights the filter so samples outside have no effect */
|
| /external/tensorflow/tensorflow/compiler/tests/ |
| lstm_test.py | 80 weights = init_weights(lstm.LSTMCellWeightsShape(num_inputs, num_nodes))
86 m, c = lstm.LSTMCell(weights, m_prev, c_prev, x, pad)
95 # Run with all-0 weights, no padding.
109 # Run with all-1 weights, no padding.
118 # Run with random weights.
144 weights = array_ops.zeros(lstm.LSTMCellWeightsShape(num_inputs, num_nodes))
151 lstm.LSTMLayer('lstm', weights, m, c, x_seq, [pad])
153 lstm.LSTMLayer('lstm', weights, m, c, x_seq, [pad] * 2)
155 lstm.LSTMLayer('lstm', weights, m, c, x_seq, [pad] * 4)
164 weights = init_weights(lstm.LSTMCellWeightsShape(num_inputs, num_nodes)
[all...] |
| /external/tensorflow/tensorflow/contrib/boosted_trees/estimator_batch/ |
| custom_loss_head.py | 47 weights. It is used to down weight or boost examples during training. It
49 metrics_fn: a function that takes predictions dict, labels and weights and
71 def _metrics(self, eval_loss, predictions, labels, weights):
73 return self._metrics_fn(predictions, labels, weights)
|
| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/ops/ |
| sdca_ops.py | 47 implementation. We expect the weights and duals to fit in a single machine.
209 for weights in self._convert_n_to_tensor(self._variables[name]):
210 with ops.device(weights.device):
213 math_ops.abs(math_ops.cast(weights, dtypes.float64))))
214 # SDCA L1 regularization cost is: l1 * sum(|weights|)
222 for weights in self._convert_n_to_tensor(self._variables[name]):
223 with ops.device(weights.device):
226 math_ops.square(math_ops.cast(weights, dtypes.float64))))
227 # SDCA L2 regularization cost is: l2 * sum(weights^2) / 2
352 # Update the weights before the proximal step
[all...] |
| /external/tensorflow/tensorflow/contrib/tensorrt/convert/ |
| convert_nodes.cc | 138 nvinfer1::Weights GetWeightsForTRT() const {
141 if (empty_weight_flag_) return nvinfer1::Weights{trt_type, nullptr, 0};
144 return nvinfer1::Weights{trt_type, GetValues(), GetShapeSize(shape_)};
157 operator nvinfer1::Weights() const { return GetWeightsForTRT(); }
171 explicit TRT_TensorOrWeights(const TRT_ShapedWeights& weights)
172 : tensor_(nullptr), weights_(weights), variant_(TRT_NODE_WEIGHTS) {}
188 TRT_ShapedWeights& weights() { function in class:tensorflow::tensorrt::convert::__anon39442::TRT_TensorOrWeights
192 const TRT_ShapedWeights& weights() const { function in class:tensorflow::tensorrt::convert::__anon39442::TRT_TensorOrWeights
200 return weights().shape_;
360 TRT_ShapedWeights weights(type, nullptr, shape)
[all...] |
| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| api_def_SdcaOptimizer.pbtxt | 46 corresponding weights in sparse_weights. This field maybe omitted for the
60 a list of vectors where the values are the weights associated
81 weights associated with a sparse feature group.
88 weights associated with a dense feature group.
|
| /external/tensorflow/tensorflow/tools/api/golden/ |
| tensorflow.keras.optimizers.-optimizer.pbtxt | 31 argspec: "args=[\'self\', \'weights\'], varargs=None, keywords=None, defaults=None"
|
| /external/icu/android_icu4j/src/main/java/android/icu/impl/coll/ |
| CollationCompare.java | 35 // Fetch CEs, compare primaries, store secondary & tertiary weights.
99 // Compare the buffered secondary & tertiary weights.
125 // The backwards secondary level compares secondary weights backwards
186 // Primary+caseLevel: Ignore case level weights of primary ignorables.
190 // with only primary weights.
206 // ignore case level weights of secondary ignorables.
211 // Tertiary+caseLevel: Also ignore case level weights of secondary ignorables.
216 // but it's simpler to always ignore case weights of secondary ignorables,
274 // Pass through NO_CE and keep real tertiary weights larger than that.
277 // Their case+tertiary weights must be greater than those o
[all...] |
| /external/icu/icu4c/source/i18n/ |
| collationcompare.cpp | 44 // Fetch CEs, compare primaries, store secondary & tertiary weights.
109 // Compare the buffered secondary & tertiary weights.
133 // The backwards secondary level compares secondary weights backwards
192 // Primary+caseLevel: Ignore case level weights of primary ignorables.
196 // with only primary weights.
212 // ignore case level weights of secondary ignorables.
217 // Tertiary+caseLevel: Also ignore case level weights of secondary ignorables.
222 // but it's simpler to always ignore case weights of secondary ignorables,
278 // Pass through NO_CE and keep real tertiary weights larger than that.
281 // Their case+tertiary weights must be greater than those o
[all...] |
| collationrootelements.h | 27 * Container and access methods for collation elements and weights
31 * This class takes and returns 16-bit secondary and tertiary weights.
44 * Flag in a root element, set if the element contains secondary & tertiary weights,
87 * Returns the boundary between tertiary weights of primary/secondary CEs
119 * Returns the boundary between secondary weights of primary CEs
216 * Returns the first secondary & tertiary weights for p where index=findPrimary(p)+1.
242 * followed by elements with only the secondary/tertiary weights,
261 * There is no element for the completely ignorable CE (all weights 0).
|
| /external/icu/icu4j/main/classes/collate/src/com/ibm/icu/impl/coll/ |
| CollationCompare.java | 31 // Fetch CEs, compare primaries, store secondary & tertiary weights.
95 // Compare the buffered secondary & tertiary weights.
121 // The backwards secondary level compares secondary weights backwards
182 // Primary+caseLevel: Ignore case level weights of primary ignorables.
186 // with only primary weights.
202 // ignore case level weights of secondary ignorables.
207 // Tertiary+caseLevel: Also ignore case level weights of secondary ignorables.
212 // but it's simpler to always ignore case weights of secondary ignorables,
270 // Pass through NO_CE and keep real tertiary weights larger than that.
273 // Their case+tertiary weights must be greater than those o
[all...] |
| /external/llvm/lib/Transforms/IPO/ |
| SampleProfile.cpp | 17 // - prof: Represents branch weights. This annotation is added to branches
18 // to indicate the weights of each edge coming out of the branch.
69 "sample block/edge weights through the CFG."));
133 /// \brief Map basic blocks to their computed weights.
136 /// of all the instruction weights in that block.
139 /// \brief Map edges to their computed weights.
141 /// Edge weights are computed by propagating basic block weights in
151 /// \brief Equivalence classes for block weights.
385 /// Clear all the per-function data used to load samples and propagate weights
[all...] |
| /external/apache-commons-math/src/main/java/org/apache/commons/math/ode/nonstiff/ |
| MidpointIntegrator.java | 50 /** Internal weights Butcher array. */
55 /** Propagation weights Butcher array. */
|
| /external/opencv/ml/src/ |
| mlem.cpp | 74 means = weights = probs = inv_eigen_values = log_weight_div_det = 0;
81 means = weights = probs = inv_eigen_values = log_weight_div_det = 0;
99 cvReleaseMat( &weights );
156 const CvMat* p = params.weights;
178 if( params.weights )
180 const CvMat* w = params.weights;
186 CV_ERROR( CV_StsBadArg, "The array of weights must be a valid "
344 CV_CALL( weights = cvCreateMat( 1, nclusters, CV_64FC1 ));
429 if( params.weights && params.covs )
432 cvReshape( weights, weights, 1, params.weights->rows )
[all...] |
| /external/swiftshader/third_party/PowerVR_SDK/Tools/ |
| PVRTBoneBatch.h | 38 @param[in] nOffsetWeight Offset in bytes to the vertex bone-weights
39 @param[in] eTypeWeight Data type of the vertex bone-weights
|
| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| fully_connected_float_4d_simple.mod.py | 23 weights = Parameter("op2", "TENSOR_FLOAT32", "{3, 10}", [ variable
31 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
|
| fully_connected_float_4d_simple_relaxed.mod.py | 23 weights = Parameter("op2", "TENSOR_FLOAT32", "{3, 10}", [ variable
31 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
|
