Searched refs:layer (Results 1 - 25 of 438) sorted by relevance

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/external/tensorflow/tensorflow/python/keras/_impl/keras/utils/
H A Dvis_utils.py59 show_layer_names: whether to display layer names.
84 for layer in layers:
85 layer_id = str(id(layer))
87 # Append a wrapped layer's label to node's label, if it exists.
88 layer_name = layer.name
89 class_name = layer.__class__.__name__
90 if isinstance(layer, Wrapper):
91 layer_name = '{}({})'.format(layer_name, layer.layer.name)
92 child_class_name = layer
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/external/skia/tools/sk_app/
H A DWindow.cpp41 this->visitLayers([](Layer* layer) { layer->onBackendCreated(); });
45 return this->signalLayers([=](Layer* layer) { return layer->onChar(c, modifiers); });
49 return this->signalLayers([=](Layer* layer) { return layer->onKey(key, state, modifiers); });
53 return this->signalLayers([=](Layer* layer) { return layer->onMouse(x, y, state, modifiers); });
57 return this->signalLayers([=](Layer* layer) { return layer
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/external/skqp/tools/sk_app/
H A DWindow.cpp41 this->visitLayers([](Layer* layer) { layer->onBackendCreated(); });
45 return this->signalLayers([=](Layer* layer) { return layer->onChar(c, modifiers); });
49 return this->signalLayers([=](Layer* layer) { return layer->onKey(key, state, modifiers); });
53 return this->signalLayers([=](Layer* layer) { return layer->onMouse(x, y, state, modifiers); });
57 return this->signalLayers([=](Layer* layer) { return layer
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/external/webrtc/webrtc/modules/video_coding/codecs/vp9/
H A Dscreenshare_layers_unittest.cc48 EXPECT_EQ(expected_.layer[layer_id].upd_buf,
49 actual.layer[layer_id].upd_buf);
50 EXPECT_EQ(expected_.layer[layer_id].ref_buf1,
51 actual.layer[layer_id].ref_buf1);
52 EXPECT_EQ(expected_.layer[layer_id].ref_buf2,
53 actual.layer[layer_id].ref_buf2);
54 EXPECT_EQ(expected_.layer[layer_id].ref_buf3,
55 actual.layer[layer_id].ref_buf3);
94 expected_.layer[l].upd_buf = l;
100 expected_.layer[
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/external/opencv/ml/src/
H A Dmlcnn.cpp70 static void icvCNNetworkAddLayer( CvCNNetwork* network, CvCNNLayer* layer );
73 /* In all layer functions we denote input by X and output by Y, where
78 /*------------------------ functions for convolutional layer ---------------------------*/
81 static void icvCNNConvolutionForward( CvCNNLayer* layer, const CvMat* X, CvMat* Y );
83 static void icvCNNConvolutionBackward( CvCNNLayer* layer, int t,
86 /*------------------------ functions for sub-sampling layer ----------------------------*/
89 static void icvCNNSubSamplingForward( CvCNNLayer* layer, const CvMat* X, CvMat* Y );
91 static void icvCNNSubSamplingBackward( CvCNNLayer* layer, int t,
94 /*------------------------ functions for full connected layer --------------------------*/
97 static void icvCNNFullConnectForward( CvCNNLayer* layer, cons
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/external/mesa3d/src/mesa/drivers/dri/i965/
H A Dintel_resolve_map.h121 uint32_t layer; member in struct:intel_resolve_map
132 uint32_t layer,
143 uint32_t layer)
145 return intel_resolve_map_find_any(resolve_map, level, 1, layer, 1);
151 uint32_t layer)
154 resolve_map, level, 1, layer, 1);
141 intel_resolve_map_const_get(const struct exec_list *resolve_map, uint32_t level, uint32_t layer) argument
149 intel_resolve_map_get(struct exec_list *resolve_map, uint32_t level, uint32_t layer) argument
H A Dintel_resolve_map.c29 * \brief Set that the miptree slice at (level, layer) needs a resolve.
37 uint32_t layer,
41 if (map->level == level && map->layer == layer) {
50 m->layer = layer;
68 map->layer >= start_layer &&
69 map->layer < (start_layer + num_layers))
35 intel_resolve_map_set(struct exec_list *resolve_map, uint32_t level, uint32_t layer, unsigned need) argument
/external/wpa_supplicant_8/hostapd/logwatch/
H A Dhostapd29 if (my ($iface,$mac,$layer,$details) = ($line =~ /(.*?): STA (.*?) (.*?): (.*?)$/i)) {
34 $hostapd{$iface}->{$mac}->{$layer}->{$details}++;
45 foreach my $layer (sort keys %{$hostapd{$iface}->{$mac}}) {
46 print " $layer:\n";
47 foreach my $details (sort keys %{$hostapd{$iface}->{$mac}->{$layer}}) {
49 my $count = $hostapd{$iface}->{$mac}->{$layer}->{$details};
/external/tensorflow/tensorflow/python/layers/
H A Dbase_test.py43 layer = base_layers.Layer(name='my_layer')
44 self.assertEqual(layer.variables, [])
45 self.assertEqual(layer.trainable_variables, [])
46 self.assertEqual(layer.non_trainable_variables, [])
49 self.assertEqual(layer.updates, [])
50 self.assertEqual(layer.losses, [])
51 self.assertEqual(layer.built, False)
52 layer = base_layers.Layer(name='my_layer', trainable=False)
53 self.assertEqual(layer.trainable, False)
57 layer
284 layer = CustomerLayer() variable in class:BaseLayerTest.testInputSpecNdimCheck.CustomerLayer
311 layer = CustomerLayer() variable in class:BaseLayerTest.testInputSpecMinNdimCheck.CustomerLayer
339 layer = CustomerLayer() variable in class:BaseLayerTest.testInputSpecMaxNdimCheck.CustomerLayer
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H A Dconvolutional_test.py67 layer = conv_layers.Conv2D(32, [3, 3], activation=nn_ops.relu)
68 output = layer.apply(images)
72 self.assertListEqual(layer.kernel.get_shape().as_list(), [3, 3, 4, 32])
73 self.assertListEqual(layer.bias.get_shape().as_list(), [32])
85 layer = conv_layers.Conv2D(32, 3)
86 output = layer.apply(images)
89 self.assertListEqual(layer.kernel.get_shape().as_list(), [3, 3, 4, 32])
90 self.assertListEqual(layer.bias.get_shape().as_list(), [32])
95 layer = conv_layers.Conv2D(32, [3, 3], data_format='channels_first')
96 output = layer
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H A Dpooling_test.py56 layer = pooling_layers.MaxPooling2D([2, 2], strides=2)
57 output = layer.apply(images)
63 layer = pooling_layers.AveragePooling2D([2, 2], strides=2)
64 output = layer.apply(images)
70 layer = pooling_layers.MaxPooling2D([2, 2],
73 output = layer.apply(images)
79 layer = pooling_layers.AveragePooling2D((2, 2),
83 output = layer.apply(images)
90 layer = pooling_layers.AveragePooling2D((2, 2),
94 output = layer
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/external/skia/tests/
H A DGpuLayerCacheTest.cpp8 // Disabling this test since it is for the layer hoister which is current disabled.
40 static int Uses(GrCachedLayer* layer) { argument
41 return layer->uses();
59 GrCachedLayer* layer = cache->findLayerOrCreate(picture.uniqueID(), local
66 REPORTER_ASSERT(reporter, layer);
69 REPORTER_ASSERT(reporter, temp == layer);
73 REPORTER_ASSERT(reporter, picture.uniqueID() == layer->pictureID());
74 REPORTER_ASSERT(reporter, layer->start() == idOffset + i + 1);
75 REPORTER_ASSERT(reporter, layer->stop() == idOffset + i + 2);
76 REPORTER_ASSERT(reporter, !layer
82 lock_layer(skiatest::Reporter* reporter, GrLayerCache* cache, GrCachedLayer* layer) argument
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/external/skqp/tests/
H A DGpuLayerCacheTest.cpp8 // Disabling this test since it is for the layer hoister which is current disabled.
40 static int Uses(GrCachedLayer* layer) { argument
41 return layer->uses();
59 GrCachedLayer* layer = cache->findLayerOrCreate(picture.uniqueID(), local
66 REPORTER_ASSERT(reporter, layer);
69 REPORTER_ASSERT(reporter, temp == layer);
73 REPORTER_ASSERT(reporter, picture.uniqueID() == layer->pictureID());
74 REPORTER_ASSERT(reporter, layer->start() == idOffset + i + 1);
75 REPORTER_ASSERT(reporter, layer->stop() == idOffset + i + 2);
76 REPORTER_ASSERT(reporter, !layer
82 lock_layer(skiatest::Reporter* reporter, GrLayerCache* cache, GrCachedLayer* layer) argument
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/external/tensorflow/tensorflow/python/keras/_impl/keras/layers/
H A Dlocal_test.py68 layer = keras.layers.LocallyConnected1D(**kwargs)
69 layer.build((num_samples, num_steps, input_dim))
70 self.assertEqual(len(layer.losses), 2)
71 layer(
73 self.assertEqual(len(layer.losses), 3)
84 layer = keras.layers.LocallyConnected1D(**kwargs)
85 layer.build((num_samples, num_steps, input_dim))
86 self.assertEqual(layer.kernel.constraint, k_constraint)
87 self.assertEqual(layer.bias.constraint, b_constraint)
147 layer
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H A Dconvolutional_test.py75 layer = keras.layers.Conv1D(**kwargs)
76 layer.build((None, 5, 2))
77 self.assertEqual(len(layer.losses), 2)
78 layer(keras.backend.variable(np.ones((1, 5, 2))))
79 self.assertEqual(len(layer.losses), 3)
94 layer = keras.layers.Conv1D(**kwargs)
95 layer.build((None, 5, 2))
96 self.assertEqual(layer.kernel.constraint, k_constraint)
97 self.assertEqual(layer.bias.constraint, b_constraint)
149 layer
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H A Drecurrent_test.py51 layer = keras.layers.RNN(cell) variable in class:RNNTest.test_minimal_rnn_cell_non_layer.MinimalRNNCell
52 y = layer(x)
61 layer = keras.layers.RNN(cells) variable in class:RNNTest.test_minimal_rnn_cell_non_layer.MinimalRNNCell
62 y = layer(x)
89 layer = keras.layers.RNN(cell) variable in class:RNNTest.test_minimal_rnn_cell_non_layer_multiple_states.MinimalRNNCell
90 y = layer(x)
99 layer = keras.layers.RNN(cells) variable in class:RNNTest.test_minimal_rnn_cell_non_layer_multiple_states.MinimalRNNCell
100 assert layer.cell.state_size == (32, 32, 16, 16, 8, 8)
101 y = layer(x)
140 layer variable in class:RNNTest.test_minimal_rnn_cell_layer.MinimalRNNCell
163 layer = keras.layers.RNN(cells) variable in class:RNNTest.test_minimal_rnn_cell_layer.MinimalRNNCell
230 layer = keras.layers.RNN(cell) variable in class:RNNTest.test_rnn_cell_with_constants_layer.RNNCellWithConstants
270 layer = keras.layers.recurrent.RNN(cells) variable in class:RNNTest.test_rnn_cell_with_constants_layer.RNNCellWithConstants
343 layer = keras.layers.RNN(cell) variable in class:RNNTest.test_rnn_cell_with_constants_layer_passing_initial_state.RNNCellWithConstants
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H A Dconvolutional_recurrent_test.py60 layer = keras.layers.ConvLSTM2D(**kwargs)
61 layer.build(inputs.shape)
62 outputs = layer(x)
68 keras.backend.eval(layer.states[0]), state, atol=1e-4)
103 layer = keras.layers.ConvLSTM2D(**kwargs)
105 model.add(layer)
119 layer.reset_states()
162 layer = keras.layers.ConvLSTM2D(**kwargs)
163 layer.build(inputs.shape)
164 self.assertEqual(len(layer
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/external/iproute2/include/uapi/linux/tc_ematch/
H A Dtc_em_nbyte.h11 __u8 layer:4; member in struct:tcf_em_nbyte
/external/kernel-headers/original/uapi/linux/tc_ematch/
H A Dtc_em_nbyte.h11 __u8 layer:4; member in struct:tcf_em_nbyte
/external/mesa3d/src/gallium/auxiliary/vl/
H A Dvl_compositor.c610 default_rect(struct vl_compositor_layer *layer) argument
612 struct pipe_resource *res = layer->sampler_views[0]->texture;
632 calc_src_and_dst(struct vl_compositor_layer *layer, unsigned width, unsigned height, argument
637 layer->src.tl = calc_topleft(size, src);
638 layer->src.br = calc_bottomright(size, src);
639 layer->dst.tl = calc_topleft(size, dst);
640 layer->dst.br = calc_bottomright(size, dst);
641 layer->zw.x = 0.0f;
642 layer->zw.y = size.y;
646 gen_rect_verts(struct vertex2f *vb, struct vl_compositor_layer *layer) argument
730 calc_drawn_area(struct vl_compositor_state *s, struct vl_compositor_layer *layer) argument
793 struct vl_compositor_layer *layer = &s->layers[i]; local
832 struct vl_compositor_layer *layer = &s->layers[i]; local
964 vl_compositor_set_layer_blend(struct vl_compositor_state *s, unsigned layer, void *blend, bool is_clearing) argument
977 vl_compositor_set_layer_dst_area(struct vl_compositor_state *s, unsigned layer, struct u_rect *dst_area) argument
994 vl_compositor_set_buffer_layer(struct vl_compositor_state *s, struct vl_compositor *c, unsigned layer, struct pipe_video_buffer *buffer, struct u_rect *src_rect, struct u_rect *dst_rect, enum vl_compositor_deinterlace deinterlace) argument
1047 vl_compositor_set_palette_layer(struct vl_compositor_state *s, struct vl_compositor *c, unsigned layer, struct pipe_sampler_view *indexes, struct pipe_sampler_view *palette, struct u_rect *src_rect, struct u_rect *dst_rect, bool include_color_conversion) argument
1077 vl_compositor_set_rgba_layer(struct vl_compositor_state *s, struct vl_compositor *c, unsigned layer, struct pipe_sampler_view *rgba, struct u_rect *src_rect, struct u_rect *dst_rect, struct vertex4f *colors) argument
1109 vl_compositor_set_layer_rotation(struct vl_compositor_state *s, unsigned layer, enum vl_compositor_rotation rotate) argument
1119 vl_compositor_set_yuv_layer(struct vl_compositor_state *s, struct vl_compositor *c, unsigned layer, struct pipe_video_buffer *buffer, struct u_rect *src_rect, struct u_rect *dst_rect, bool y) argument
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/external/tensorflow/tensorflow/python/keras/_impl/keras/engine/
H A Dtopology.py16 """Base layer code and base model (Network) code.
67 """Abstract base layer class.
75 A layer with `n` input tensors must have
77 trainable: Boolean, whether the layer weights
80 of the layer uses `K.in_training_phase()`
84 attribute is ill-defined (e.g. a shared layer
87 Prefer using `layer.get_input_shape_for(input_shape)`,
88 or `layer.get_input_shape_at(node_index)`.
92 input, output: Input/output tensor(s). Note that if the layer is used
93 more than once (shared layer), thi
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/external/iproute2/tc/
H A Dem_nbyte.c31 "Usage: nbyte(NEEDLE at OFFSET [layer LAYER])\n" \
36 "Example: nbyte(\"ababa\" at 12 layer 1)\n",
45 unsigned long offset = 0, layer = TCF_LAYER_NETWORK; local
70 } else if (!bstrcmp(a, "layer")) {
75 layer = parse_layer(a);
76 if (layer == INT_MAX) {
77 layer = bstrtoul(a);
78 if (layer == ULONG_MAX)
80 "layer");
83 if (layer > TCF_LAYER_MA
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/external/mp4parser/isoparser/src/main/java/com/googlecode/mp4parser/authoring/
H A DTrackMetaData.java41 int layer; field in class:TrackMetaData
108 return layer;
111 public void setLayer(int layer) { argument
112 this.layer = layer;
/external/tensorflow/tensorflow/contrib/eager/python/
H A Dnetwork.py85 `tf.layers.Dense` layer:
306 def track_layer(self, layer):
313 layer: A `tf.layers.Layer` object.
316 The passed in `layer`.
320 TypeError: If `layer` is the wrong type.
325 if not isinstance(layer, base.Layer):
328 (type(layer),))
329 if isinstance(layer, Network):
330 layer._finalize_name(parent_network=self)
332 # `layer` i
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/external/libxcam/modules/ocl/
H A Dcl_newwavelet_denoise_handler.cpp67 uint32_t layer)
72 , _current_layer (layer)
292 uint32_t layer)
296 , _current_layer (layer)
378 uint32_t layer,
384 , _current_layer (layer)
497 CLWaveletTransformKernel::get_decomp_buffer (uint32_t channel, int layer) argument
501 buffer = _handler->get_decomp_buffer (channel, layer);
505 XCAM_LOG_ERROR ("get channel(%d) layer(%d) decomposition buffer failed!", channel, layer);
61 CLWaveletNoiseEstimateKernel( const SmartPtr<CLContext> &context, const char *name, SmartPtr<CLNewWaveletDenoiseImageHandler> &handler, uint32_t channel, uint32_t subband, uint32_t layer) argument
287 CLWaveletThresholdingKernel( const SmartPtr<CLContext> &context, const char *name, SmartPtr<CLNewWaveletDenoiseImageHandler> &handler, uint32_t channel, uint32_t layer) argument
372 CLWaveletTransformKernel( const SmartPtr<CLContext> &context, const char *name, SmartPtr<CLNewWaveletDenoiseImageHandler> &handler, CLWaveletFilterBank fb, uint32_t channel, uint32_t layer, bool bayes_shrink) argument
669 get_decomp_buffer(uint32_t channel, int layer) argument
706 dump_coeff(SmartPtr<CLImage> image, uint32_t channel, uint32_t layer, uint32_t subband) argument
765 create_kernel_haar_decomposition( const SmartPtr<CLContext> &context, SmartPtr<CLNewWaveletDenoiseImageHandler> handler, uint32_t channel, uint32_t layer, bool bayes_shrink) argument
798 create_kernel_haar_reconstruction( const SmartPtr<CLContext> &context, SmartPtr<CLNewWaveletDenoiseImageHandler> handler, uint32_t channel, uint32_t layer, bool bayes_shrink) argument
832 create_kernel_noise_estimation( const SmartPtr<CLContext> &context, SmartPtr<CLNewWaveletDenoiseImageHandler> handler, uint32_t channel, uint32_t subband, uint32_t layer) argument
862 create_kernel_thresholding( const SmartPtr<CLContext> &context, SmartPtr<CLNewWaveletDenoiseImageHandler> handler, uint32_t channel, uint32_t layer) argument
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