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  /prebuilts/clang/host/linux-x86/clang-4393122/include/llvm/ExecutionEngine/Orc/
ObjectTransformLayer.h 22 /// @brief Object mutating layer.
24 /// This layer accepts sets of ObjectFiles (via addObjectSet). It
26 /// the set of transformed objects to the layer below.
39 /// add the resulting set of objects to the base layer, along with the
68 /// base layer's implementation.
  /prebuilts/clang/host/linux-x86/clang-4479392/include/llvm/ExecutionEngine/Orc/
IRTransformLayer.h 22 /// @brief IR mutating layer.
24 /// This layer accepts sets of LLVM IR Modules (via addModuleSet). It
26 /// the set of transformed modules to the layer below.
39 /// add the resulting set of modules to the base layer, along with the
69 /// base layer's implementation.
ObjectTransformLayer.h 22 /// @brief Object mutating layer.
24 /// This layer accepts sets of ObjectFiles (via addObjectSet). It
26 /// the set of transformed objects to the layer below.
39 /// add the resulting set of objects to the base layer, along with the
68 /// base layer's implementation.
  /prebuilts/clang/host/linux-x86/clang-4579689/include/llvm/ExecutionEngine/Orc/
ObjectTransformLayer.h 25 /// @brief Object mutating layer.
27 /// This layer accepts sets of ObjectFiles (via addObject). It
29 /// the set of transformed objects to the layer below.
42 /// add the resulting set of objects to the base layer, along with the
65 /// base layer's implementation.
  /prebuilts/clang/host/linux-x86/clang-4630689/include/llvm/ExecutionEngine/Orc/
ObjectTransformLayer.h 25 /// @brief Object mutating layer.
27 /// This layer accepts sets of ObjectFiles (via addObject). It
29 /// the set of transformed objects to the layer below.
42 /// add the resulting set of objects to the base layer, along with the
65 /// base layer's implementation.
  /prebuilts/clang/host/linux-x86/clang-4639204/include/llvm/ExecutionEngine/Orc/
ObjectTransformLayer.h 25 /// @brief Object mutating layer.
27 /// This layer accepts sets of ObjectFiles (via addObject). It
29 /// the set of transformed objects to the layer below.
42 /// add the resulting set of objects to the base layer, along with the
65 /// base layer's implementation.
  /prebuilts/clang/host/linux-x86/clang-4691093/include/llvm/ExecutionEngine/Orc/
ObjectTransformLayer.h 25 /// @brief Object mutating layer.
27 /// This layer accepts sets of ObjectFiles (via addObject). It
29 /// the set of transformed objects to the layer below.
42 /// add the resulting set of objects to the base layer, along with the
65 /// base layer's implementation.
  /external/deqp/external/vulkancts/modules/vulkan/geometry/
vktGeometryLayeredRenderingTests.cpp 59 TEST_TYPE_DEFAULT_LAYER, // !< draw to default layer
60 TEST_TYPE_SINGLE_LAYER, // !< draw to single layer
64 TEST_TYPE_INVOCATION_PER_LAYER, // !< draw to all layers, one invocation per layer
408 inline tcu::ConstPixelBufferAccess getLayer (const int layer) const
410 return tcu::getSubregion(m_wholeImage, 0, (m_1dModifier * layer), ((~m_1dModifier & 1) * layer), m_width, m_height, 1);
499 << tcu::TestLog::ImageSet("LayerContent", "Layer content")
500 << tcu::TestLog::Image("Layer", "Layer", image)
507 << tcu::TestLog::ImageSet("LayerContent", "Layer content"
603 str << "slice z = " << layer; local
605 str << "layer " << layer; local
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  /external/tensorflow/tensorflow/docs_src/get_started/
custom_estimators.md 81 and a logits output layer.
175 * An [input layer](https://developers.google.com/machine-learning/glossary/#input_layer)
177 * An [output layer](https://developers.google.com/machine-learning/glossary/#output_layer)
179 ### Define the input layer
191 creating the model's input layer.
195 alt="A diagram of the input layer, in this case a 1:1 mapping from raw-inputs to features."
206 dimensions defined by `params['hidden_layers']`. In a `dense` layer each node
207 is connected to every node in the preceding layer. Here's the relevant code:
215 * The `units` parameter defines the number of output neurons in a given layer.
220 The variable `net` here signifies the current top layer of the network. Durin
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  /external/webrtc/webrtc/modules/video_coding/codecs/test/
videoprocessor_integrationtest.cc 116 // Some quantities defined per temporal layer (at most 3 layers in this test).
238 // Update layer per-frame-bandwidth.
248 // layer frame in this test.
263 // Update layer data.
278 // Encoding bitrate per layer: from the start of the update/run to the
329 printf("Rates statistics for Layer data \n");
331 printf("Layer #%d \n", i);
338 " Target Layer Bit rate: %f \n"
339 " Layer frame rate: %f, \n"
340 " Layer per frame bandwidth: %f, \n
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  /external/tensorflow/tensorflow/contrib/kfac/python/ops/
fisher_blocks.py 202 params: The parameters of this layer (Tensor or tuple of Tensors).
266 params: The parameters of this layer (Tensor or tuple of Tensors).
319 connected layer. Unlike NaiveDiagonalFB this uses the low-variance "sum of
328 Consider fully connected layer in this model with (unshared) weight matrix
329 'w'. For an example 'x' that produces layer inputs 'a' and output
335 to the layer's parameters 'w'.
367 [input_size, output_size] corresponding to layer's weights. If not, a
369 to the layer's bias.
385 [input_size, output_size] corresponding to layer's weights. If not, a
387 to the layer's bias
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  /external/scapy/scapy/
config.py 109 def register(self, num, layer):
110 self.register_num2layer(num, layer)
111 self.register_layer2num(num, layer)
113 def register_num2layer(self, num, layer):
114 self.num2layer[num] = layer
115 def register_layer2num(self, num, layer):
116 self.layer2num[layer] = num
133 for num,layer in six.iteritems(self.num2layer):
134 if layer in self.layer2num and self.layer2num[layer] == num
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  /frameworks/base/graphics/java/android/graphics/drawable/
RippleDrawable.java 55 * special mask layer that is not drawn to the screen. A single layer may be
57 * {@link android.R.id#mask}. At run time, a single layer may be set as the
58 * mask using {@code setId(..., android.R.id.mask)} or an existing mask layer
68 * If a mask layer is set, the ripple effect will be masked against that layer
71 * If no mask layer is set, the ripple effect is masked against the composite
125 /** The masking layer, e.g. the layer with id R.id.mask. */
344 // If the layer is bounded, then we don't need to project
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  /device/linaro/bootloader/edk2/NetworkPkg/UefiPxeBcDxe/
PxeBcBoot.h 55 @param[in] Layer Pointer to option boot item layer.
71 IN UINT16 *Layer,
  /external/kernel-headers/original/uapi/linux/
net_tstamp.h 126 /* PTP v2/802.AS1, any layer, any kind of event packet */
128 /* PTP v2/802.AS1, any layer, Sync packet */
130 /* PTP v2/802.AS1, any layer, Delay_req packet */
  /external/libnl/lib/route/cls/
ematch_grammar.l 99 [eE][tT][hH] { yylval->i = TCF_LAYER_LINK; return LAYER; }
102 [iI][pP] { yylval->i = TCF_LAYER_NETWORK; return LAYER; }
104 [tT][cC][pP] { yylval->i = TCF_LAYER_TRANSPORT; return LAYER; }
  /external/libpcap/
pcap_dump_open.3pcap 64 The time stamp precision, link-layer type, and snapshot length from
66 are used as the link-layer type and snapshot length of the output file.
73 opening the file, and has the same time stamp precision, link-layer
pcap_dump_open.3pcap.in 64 The time stamp precision, link-layer type, and snapshot length from
66 are used as the link-layer type and snapshot length of the output file.
73 opening the file, and has the same time stamp precision, link-layer
  /external/mdnsresponder/mDNSPosix/
ExampleClientApp.c 28 #include "mDNSEmbeddedAPI.h" // Defines the interface to the client layer above
67 // 3. Give the mDNSPosix layer a chance to add its information to the fd_set and timeout
81 // 5. Call mDNSPosixProcessFDSet to let the mDNSPosix layer do its work
  /external/mesa3d/src/gallium/state_trackers/nine/
surface9.h 46 unsigned layer; member in struct:NineSurface9
70 unsigned Layer,
82 unsigned Layer,
  /external/scapy/scapy/contrib/
coap.uts 1 % CoAP layer test campaign
4 = Import the CoAP layer
38 + Test layer binding
nsh.uts 2 * Tests for the Scapy NSH layer
5 = Import the nsh layer
8 + Basic Layer Tests
  /external/swiftshader/src/OpenGL/libGLESv2/
Device.hpp 66 void setRenderTarget(int index, egl::Image *renderTarget, unsigned int layer);
67 void setDepthBuffer(egl::Image *depthBuffer, unsigned int layer);
68 void setStencilBuffer(egl::Image *stencilBuffer, unsigned int layer);
  /external/tensorflow/tensorflow/contrib/kfac/
README.md 22 are the weights for layer i?"). As such, you must add some additional code while
31 in **faster training**. For an 8-layer Autoencoder, K-FAC converges to the same
52 1. Registering layer inputs, weights, and pre-activations with a
  /external/tensorflow/tensorflow/contrib/receptive_field/python/util/
parse_layer_parameters.py 25 # White-listed layer operations, which do not affect the receptive field
82 ValueError: If the weight layer node is invalid.
87 "Weight layer's name input to conv layer does not end with '/read'")
91 raise ValueError("Weight layer is not of type VariableV2")
214 ValueError: If padding layer is invalid.
218 raise ValueError("Padding layer name does not end with '/paddings'")
236 """Gets layer parameters relevant for RF computation.
251 input feature map to this layer. If set to None, then the padding may be
254 force: If True, the function does not raise a ValueError if the layer op i
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