| /external/tensorflow/tensorflow/core/kernels/ |
| cudnn_pooling_gpu.h | 16 // Helper functions to run 3d pooling on GPU using CuDNN.
35 // Runs (avg/max)pooling on GPU.
49 // Computes the gradient of (avg/max)pooling on GPU.
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| pooling_ops_3d.h | 39 // A helper class to manage sizes and shapes for 3d pooling operations.
47 // Returns the shape of the output for "forward" pooling operations.
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| pooling_ops_common_gpu.h | 37 // A helper class that launch the cudnn pooling forward operations.
50 // A helper class that launch the cudnn pooling backward operations.
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| avgpooling_op.cc | 73 "Pooling is not yet supported on the batch dimension."));
84 errors::Unimplemented("Non-spatial pooling is not "
135 "Pooling is not yet supported on the batch dimension."));
146 errors::Unimplemented("Non-spatial pooling is not "
232 "Pooling is not yet supported on the batch dimension."));
271 // We (will) use different code for spatial pooling and
272 // non-spatial pooling.
274 // Spatial pooling is when depth_window = 1
276 errors::Unimplemented("Non-spatial pooling is not "
367 // candidates for the pooling operation
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| api_def_MaxPool.pbtxt | 44 summary: "Performs max pooling on the input."
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| api_def_MaxPoolV2.pbtxt | 44 summary: "Performs max pooling on the input."
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| api_def_Dilation2D.pbtxt | 61 Max-pooling is a special case when the filter has size equal to the pooling
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| api_def_AvgPool.pbtxt | 43 summary: "Performs average pooling on the input."
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| api_def_AvgPool3D.pbtxt | 45 summary: "Performs 3D average pooling on the input."
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| api_def_AvgPool3DGrad.pbtxt | 51 summary: "Computes gradients of average pooling function."
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| api_def_AvgPoolGrad.pbtxt | 51 summary: "Computes gradients of the average pooling function."
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| api_def_MaxPool3D.pbtxt | 45 summary: "Performs 3D max pooling on the input."
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| api_def_MaxPool3DGrad.pbtxt | 51 summary: "Computes gradients of max pooling function."
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| api_def_MaxPoolWithArgmax.pbtxt | 40 summary: "Performs max pooling on the input and outputs both max values and indices."
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| /external/tensorflow/tensorflow/python/kernel_tests/ |
| fractional_max_pool_op_test.py | 47 row_seq: Cumulative pooling sequence along row.
48 overlapping: Whether or not use overlapping when pooling.
71 col_seq: Cumulative pooling sequence along column.
72 overlapping: Whether or not use overlapping when pooling.
87 row_seq and col_seq together defines the fractional pooling region.
92 row_seq: Cumulative pooling sequence along row.
93 col_seq: Cumulative pooling sequence along column.
94 overlapping: Use overlapping when doing pooling.
97 A 4-D tensor that is the result of max pooling on input_tensor based on
98 pooling region defined by row_seq and col_seq, conditioned on whether o
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| fractional_avg_pool_op_test.py | 47 row_seq: Cumulative pooling sequence along row.
48 overlapping: Whether or not use overlapping when pooling.
71 col_seq: Cumulative pooling sequence along column.
72 overlapping: Whether or not use overlapping when pooling.
85 """Get expected fractional average pooling result.
87 row_seq and col_seq together defines the fractional pooling region.
92 row_seq: Cumulative pooling sequence along row.
93 col_seq: Cumulative pooling sequence along column.
94 overlapping: Use overlapping when doing pooling.
97 A 4-D tensor that is the result of average pooling on input_tensor base
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| /external/tensorflow/tensorflow/compiler/tests/ |
| pooling_ops_test.py | 15 """Functional tests for pooling operations."""
76 """Verifies the output values of the pooling function.
84 data_format: The data format we use to run the pooling operation.
112 """Verifies the output values of the pooling function.
269 # Average pooling
297 """Verifies the output values of the pooling gradient function.
300 pool_func: Forward pooling function
301 pool_grad_func: Pooling gradient function for pool_grad_func
306 data_format: The data format we use to run the pooling operation.
327 # Use the Tensorflow CPU pooling gradient to compute the expected inpu
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| /external/tensorflow/tensorflow/python/keras/_impl/keras/applications/ |
| densenet.py | 132 pooling=None,
161 pooling: optional pooling mode for feature extraction
166 - `avg` means that global average pooling
170 - `max` means that global max pooling will
233 if pooling == 'avg':
235 elif pooling == 'max':
308 pooling=None,
311 input_shape, pooling, classes)
320 pooling=None
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| densenet_test.py | 38 pooling='avg')
63 pooling='max')
88 pooling='avg')
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| nasnet.py | 88 pooling=None,
131 pooling: Optional pooling mode for feature extraction
136 - `avg` means that global average pooling
141 - `max` means that global max pooling will
278 if pooling == 'avg':
280 elif pooling == 'max':
333 pooling=None,
356 pooling: Optional pooling mode for feature extractio
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| /libcore/ojluni/src/main/java/javax/sql/ |
| package.html | 49 <LI>Connection pooling and Statement pooling
55 APIs directly, but the connection pooling and distributed transaction
74 <LI>Connection and Statement pooling and distributed transactions are available
78 do not have connection and statement pooling or distributed transaction
100 connection pooling.
105 <H2>Connection Pooling and Statement Pooling</H2>
109 will participate in connection pooling. This can improve performance
111 Connection pooling allows a connection to be used and reused,
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| DataSource.java | 46 * <LI>Connection pooling implementation -- produces a <code>Connection</code>
47 * object that will automatically participate in connection pooling. This
48 * implementation works with a middle-tier connection pooling manager.
51 * transactions and almost always participates in connection pooling.
54 * pooling manager.
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| /external/tensorflow/tensorflow/python/keras/_impl/keras/layers/ |
| pooling.py | 15 """Pooling layers.
26 from tensorflow.python.layers import pooling as tf_pooling_layers
32 """Max pooling operation for temporal data.
35 pool_size: Integer, size of the max pooling windows.
65 """Average pooling for temporal data.
68 pool_size: Integer, size of the max pooling windows.
99 """Max pooling operation for spatial data.
165 """Average pooling operation for spatial data.
231 """Max pooling operation for 3D data (spatial or spatio-temporal).
293 """Average pooling operation for 3D data (spatial or spatio-temporal)
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| /external/conscrypt/common/src/main/java/org/conscrypt/ |
| BufferAllocator.java | 22 * pooling within an application.
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| /external/tensorflow/tensorflow/examples/tutorials/layers/ |
| cnn_mnist.py | 45 # Pooling Layer #1
46 # First max pooling layer with a 2x2 filter and stride of 2
63 # Pooling Layer #2
64 # Second max pooling layer with a 2x2 filter and stride of 2
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