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  /external/tensorflow/tensorflow/tools/api/golden/
tensorflow.keras.layers.-avg-pool1-d.pbtxt 3 is_instance: "<class \'tensorflow.python.keras._impl.keras.layers.pooling.AveragePooling1D\'>"
4 is_instance: "<class \'tensorflow.python.layers.pooling.AveragePooling1D\'>"
5 is_instance: "<class \'tensorflow.python.layers.pooling._Pooling1D\'>"
tensorflow.keras.layers.-avg-pool2-d.pbtxt 3 is_instance: "<class \'tensorflow.python.keras._impl.keras.layers.pooling.AveragePooling2D\'>"
4 is_instance: "<class \'tensorflow.python.layers.pooling.AveragePooling2D\'>"
5 is_instance: "<class \'tensorflow.python.layers.pooling._Pooling2D\'>"
tensorflow.keras.layers.-avg-pool3-d.pbtxt 3 is_instance: "<class \'tensorflow.python.keras._impl.keras.layers.pooling.AveragePooling3D\'>"
4 is_instance: "<class \'tensorflow.python.layers.pooling.AveragePooling3D\'>"
5 is_instance: "<class \'tensorflow.python.layers.pooling._Pooling3D\'>"
tensorflow.keras.layers.-max-pool1-d.pbtxt 3 is_instance: "<class \'tensorflow.python.keras._impl.keras.layers.pooling.MaxPooling1D\'>"
4 is_instance: "<class \'tensorflow.python.layers.pooling.MaxPooling1D\'>"
5 is_instance: "<class \'tensorflow.python.layers.pooling._Pooling1D\'>"
tensorflow.keras.layers.-max-pool2-d.pbtxt 3 is_instance: "<class \'tensorflow.python.keras._impl.keras.layers.pooling.MaxPooling2D\'>"
4 is_instance: "<class \'tensorflow.python.layers.pooling.MaxPooling2D\'>"
5 is_instance: "<class \'tensorflow.python.layers.pooling._Pooling2D\'>"
tensorflow.keras.layers.-max-pool3-d.pbtxt 3 is_instance: "<class \'tensorflow.python.keras._impl.keras.layers.pooling.MaxPooling3D\'>"
4 is_instance: "<class \'tensorflow.python.layers.pooling.MaxPooling3D\'>"
5 is_instance: "<class \'tensorflow.python.layers.pooling._Pooling3D\'>"
tensorflow.keras.layers.-max-pooling1-d.pbtxt 3 is_instance: "<class \'tensorflow.python.keras._impl.keras.layers.pooling.MaxPooling1D\'>"
4 is_instance: "<class \'tensorflow.python.layers.pooling.MaxPooling1D\'>"
5 is_instance: "<class \'tensorflow.python.layers.pooling._Pooling1D\'>"
tensorflow.keras.layers.-max-pooling2-d.pbtxt 3 is_instance: "<class \'tensorflow.python.keras._impl.keras.layers.pooling.MaxPooling2D\'>"
4 is_instance: "<class \'tensorflow.python.layers.pooling.MaxPooling2D\'>"
5 is_instance: "<class \'tensorflow.python.layers.pooling._Pooling2D\'>"
tensorflow.keras.layers.-max-pooling3-d.pbtxt 3 is_instance: "<class \'tensorflow.python.keras._impl.keras.layers.pooling.MaxPooling3D\'>"
4 is_instance: "<class \'tensorflow.python.layers.pooling.MaxPooling3D\'>"
5 is_instance: "<class \'tensorflow.python.layers.pooling._Pooling3D\'>"
  /external/tensorflow/tensorflow/core/kernels/
pooling_ops_common.h 40 // A helper class to manage sizes and shapes for pooling operations.
47 // Returns the shape of the output for "forward" pooling operations.
106 "Pooling is not yet supported on the batch dimension."));
126 "Depthwise max pooling requires "
130 errors::Unimplemented("Depthwise max pooling requires "
159 // On GPU, use Eigen's Spatial Max Pooling. On CPU, use an
317 "Pooling is not yet supported on the batch dimension."));
348 "Pooling is not yet supported on the batch dimension."));
365 "Depthwise max pooling requires "
369 errors::Unimplemented("Depthwise max pooling requires
    [all...]
mkl_pooling_ops_common.h 128 errors::Unimplemented("Pooling is not yet supported on the "
139 // Calculate output shape of pooling op in MKL-DNN and TensorFlow order.
242 // Create pooling primitive and add it to net
313 // Create pooling primitive and add it to net
326 // Max Pooling and Avg Pooling have slightly different implementations
414 // Transfers the right parameters for pooling to the op parameters
mkl_avgpooling_op.cc 64 errors::Unimplemented("Pooling is not yet supported on the "
88 // Extract the parameters for the op from the pooling specs
239 errors::Unimplemented("Pooling is not yet supported on the "
266 // Extract the parameters for the op from the pooling specs
438 // Workspace is an MKLDNN construct that is only used in Max Pooling.
456 // initialize variables for the pooling op
458 // Get the input tensor and initialize the pooling parameters
506 // 3. create a pooling primitive descriptor
599 // Create the forward pooling primitive descriptor so we can reference it
600 // in the backward pooling primitive descripto
    [all...]
  /external/tensorflow/tensorflow/contrib/eager/python/examples/resnet50/
resnet50.py 192 pooling: Optional pooling mode for feature extraction when `include_top`
196 - `avg` means that global average pooling will be applied to the output of
199 - `max` means that global max pooling will be applied.
212 pooling=None,
280 if pooling == 'avg':
285 elif pooling == 'max':
  /external/tensorflow/tensorflow/python/keras/_impl/keras/applications/
inception_resnet_v2.py 201 pooling=None,
234 pooling: Optional pooling mode for feature extraction
238 - `'avg'` means that global average pooling
242 - `'max'` means that global max pooling will be applied.
349 if pooling == 'avg':
351 elif pooling == 'max':
inception_v3.py 111 pooling=None,
141 pooling: Optional pooling mode for feature extraction
146 - `avg` means that global average pooling
150 - `max` means that global max pooling will
370 if pooling == 'avg':
372 elif pooling == 'max':
resnet50.py 156 pooling=None,
186 pooling: Optional pooling mode for feature extraction
191 - `avg` means that global average pooling
195 - `max` means that global max pooling will
272 if pooling == 'avg':
274 elif pooling == 'max':
xception.py 73 pooling=None,
100 pooling: Optional pooling mode for feature extraction
105 - `avg` means that global average pooling
109 - `max` means that global max pooling will
297 if pooling == 'avg':
299 elif pooling == 'max':
inception_resnet_v2_test.py 41 pooling='avg')
inception_v3_test.py 40 pooling='avg')
resnet50_test.py 38 pooling='avg')
vgg16_test.py 38 pooling='avg')
  /external/tensorflow/tensorflow/python/kernel_tests/
pooling_ops_3d_test.py 15 """Functional tests for 3d pooling operations."""
45 # TODO(mjanusz): Add microbenchmarks for 3d pooling.
50 """Verifies the output values of the pooling function.
58 data_format: The data format we use to run the pooling operation.
155 # Test pooling on a larger input, with different stride and kernel
158 # Simulate max pooling in numpy to get the expected output.
217 """Verifies the gradients of a pooling function.
  /external/apache-xml/src/main/java/org/apache/xml/utils/
ThreadControllerWrapper.java 46 * be overriden with a derived class to support thread pooling.
  /external/tensorflow/tensorflow/contrib/lite/kernels/
Android.bp 61 "pooling.cc",
  /external/tensorflow/tensorflow/contrib/lite/
tflite_static.bp 56 "kernels/pooling.cc",

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