| /prebuilts/clang/host/darwin-x86/clang-4053586/prebuilt_include/llvm/include/llvm/Transforms/ |
| Instrumentation.h | 202 /// weights to strictly less than std::numeric_limits<uint32_t>::max().
|
| /prebuilts/clang/host/darwin-x86/clang-4393122/include/llvm/Transforms/ |
| Instrumentation.h | 205 /// weights to strictly less than std::numeric_limits<uint32_t>::max().
|
| /prebuilts/clang/host/darwin-x86/clang-4479392/include/llvm/Transforms/ |
| Instrumentation.h | 205 /// weights to strictly less than std::numeric_limits<uint32_t>::max().
|
| /prebuilts/clang/host/darwin-x86/clang-4579689/include/llvm/Transforms/ |
| Instrumentation.h | 212 /// weights to strictly less than std::numeric_limits<uint32_t>::max().
|
| /prebuilts/clang/host/darwin-x86/clang-4630689/include/llvm/Transforms/ |
| Instrumentation.h | 212 /// weights to strictly less than std::numeric_limits<uint32_t>::max().
|
| /prebuilts/clang/host/darwin-x86/clang-4639204/include/llvm/Transforms/ |
| Instrumentation.h | 212 /// weights to strictly less than std::numeric_limits<uint32_t>::max().
|
| /prebuilts/clang/host/darwin-x86/clang-4691093/include/llvm/Transforms/ |
| Instrumentation.h | 212 /// weights to strictly less than std::numeric_limits<uint32_t>::max().
|
| /prebuilts/clang/host/linux-x86/clang-4053586/prebuilt_include/llvm/include/llvm/Transforms/ |
| Instrumentation.h | 202 /// weights to strictly less than std::numeric_limits<uint32_t>::max().
|
| /prebuilts/clang/host/linux-x86/clang-4393122/include/llvm/Transforms/ |
| Instrumentation.h | 205 /// weights to strictly less than std::numeric_limits<uint32_t>::max().
|
| /prebuilts/clang/host/linux-x86/clang-4479392/include/llvm/Transforms/ |
| Instrumentation.h | 205 /// weights to strictly less than std::numeric_limits<uint32_t>::max().
|
| /prebuilts/clang/host/linux-x86/clang-4579689/include/llvm/Transforms/ |
| Instrumentation.h | 212 /// weights to strictly less than std::numeric_limits<uint32_t>::max().
|
| /prebuilts/clang/host/linux-x86/clang-4630689/include/llvm/Transforms/ |
| Instrumentation.h | 212 /// weights to strictly less than std::numeric_limits<uint32_t>::max().
|
| /prebuilts/clang/host/linux-x86/clang-4639204/include/llvm/Transforms/ |
| Instrumentation.h | 212 /// weights to strictly less than std::numeric_limits<uint32_t>::max().
|
| /prebuilts/clang/host/linux-x86/clang-4691093/include/llvm/Transforms/ |
| Instrumentation.h | 212 /// weights to strictly less than std::numeric_limits<uint32_t>::max().
|
| /external/swiftshader/third_party/PowerVR_SDK/Tools/ |
| PVRTModelPOD.h | 652 @param[out] pWeight Four bytes containing blend weights for vertex (0.0 .. 1.0) (D3D: use D3DCOLOR)
655 @param[in] pfBoneWeight Pointer to 'nVertexBones' blend weights
656 @brief Creates the matrix indices and blend weights for a boned
[all...] |
| /external/tensorflow/tensorflow/compiler/tests/ |
| lstm_layer_inference.pbtxt | 142 name: "weights"
178 name: "weights/Assign"
180 input: "weights"
193 s: "loc:@weights"
211 name: "weights/read"
213 input: "weights"
225 s: "loc:@weights"
[all...] |
| /external/tensorflow/tensorflow/contrib/cudnn_rnn/python/kernel_tests/ |
| cudnn_rnn_ops_test.py | 210 weights, biases = saveable._OpaqueParamsToCanonical()
225 weights_v, biases_v = sess.run([weights, biases])
229 weights_v_restored, biases_v_restored = sess.run([weights, biases])
|
| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| distribution_util.py | 51 the mixture distribution with given weights and component means and standard
58 raise ValueError("Expecting means to have same shape as mixture weights.")
60 raise ValueError("Expecting stddevs to have same shape as mixture weights.")
|
| /external/tensorflow/tensorflow/contrib/rnn/python/ops/ |
| lstm_ops.py | 99 Whether to use peephole weights.
362 share weights, but to avoid mistakes we require reuse=True in such
612 share weights, but to avoid mistakes we require reuse=True in such
|
| /external/tensorflow/tensorflow/docs_src/get_started/ |
| feature_columns.md | 27 a neural network performs multiplication and addition operations on weights and
146 learn _four individual weights_ rather than just one; four weights creates a
326 enables the model to learn separate weights for each combination of
|
| /external/tensorflow/tensorflow/docs_src/performance/ |
| performance_models.md | 149 weights obtained from training.
270 As the gradients of the weights become available, they are sent back to the
327 The downside is that all the weights read are from the previous training step.
|
| /external/tensorflow/tensorflow/docs_src/programmers_guide/ |
| graph_viz.md | 25 W = tf.Variable(tf.random_uniform([1, 2], -1.0, 1.0), name='weights')
32 * `hidden/weights`
38 three subnodes for `alpha`, `weights` and `biases`.
|
| /external/tensorflow/tensorflow/docs_src/tutorials/ |
| word2vec.md | 260 model. For this, we need to define the weights and biases for each word in the
261 vocabulary (also called the `output weights` as opposed to the `input
299 tf.nn.nce_loss(weights=nce_weights,
|
| /external/tensorflow/tensorflow/python/saved_model/ |
| builder_impl.py | 98 # weights.
304 # for the model weights). However, a *new* Saver was just created that
400 # for the model weights). However, a *new* Saver was just created that
|
| /external/unicode/ |
| emoji-zwj-sequences.txt | [all...] |
