| /external/tensorflow/tensorflow/python/kernel_tests/ |
| pool_test.py | 39 dilation_rate,
53 dilation_rate: int >= 1. Dilation factor for window, i.e. stride at which
63 effective_window_size = (window_size - 1) * dilation_rate + 1
90 input_start_pos += dilation_rate
91 input_slice = np.s_[input_start_pos:input_end_pos:dilation_rate]
103 dilation_rate,
117 dilation_rate: Sequence of N ints >= 1.
140 dilation_rate=dilation_rate[i],
165 dilation_rate=[1, 1]
[all...] |
| atrous_convolution_test.py | 99 dilation_rate, **kwargs):
102 filters_upsampled = upsample_filters(filters, dilation_rate)
105 input=x, filter=filters, dilation_rate=dilation_rate, **kwargs)
117 x, w, "VALID", dilation_rate=[2, 2], data_format="NHWC")
124 x, w, "VALID", dilation_rate=[2, 2], data_format="NCHW")
133 for dilation_rate in [[1, 1], [3, 2], [2, 1]]:
139 dilation_rate=dilation_rate,
150 for dilation_rate in [[1, 1, 1], [3, 3, 3], [3, 2, 3], [3, 1, 2]]
[all...] |
| conv_ops_test.py | 287 dilation_rate=dilation,
[all...] |
| /external/tensorflow/tensorflow/contrib/bayesflow/python/ops/ |
| layers_conv_variational.py | 67 any `dilation_rate` value != 1.
74 dilation_rate: An integer or tuple/list of n integers, specifying
76 Currently, specifying any `dilation_rate` value != 1 is
124 dilation_rate: Dilation rate for an atrous convolution.
145 dilation_rate=1,
171 self.dilation_rate = utils.normalize_tuple(
172 dilation_rate, rank, "dilation_rate")
230 dilation_rate=self.dilation_rate,
[all...] |
| /external/tensorflow/tensorflow/python/layers/ |
| convolutional.py | 53 any `dilation_rate` value != 1.
60 dilation_rate: An integer or tuple/list of n integers, specifying
62 Currently, specifying any `dilation_rate` value != 1 is
92 dilation_rate=1,
114 self.dilation_rate = utils.normalize_tuple(
115 dilation_rate, rank, 'dilation_rate')
160 dilation_rate=self.dilation_rate,
207 dilation=self.dilation_rate[i]
[all...] |
| convolutional_test.py | 239 layer = conv_layers.Conv2D(32, [3, 3], dilation_rate=3)
246 layer = conv_layers.Conv2D(32, [3, 3], dilation_rate=(1, 3))
[all...] |
| /external/tensorflow/tensorflow/python/ops/ |
| nn_ops.py | 62 extends the interface of this function with a `dilation_rate` parameter.
211 dilation_rate,
221 specified `dilation_rate`.
223 In the special case that `dilation_rate` is uniformly 1, this simply returns:
251 dilation_rate)
256 filter_shape + (filter_shape - 1) * (dilation_rate - 1)
260 dilation_rate,
266 `spatial_dims` may not be, we must adjust `dilation_rate`, `paddings` and
276 adjusted_dilation_rate[spatial_dims[i] - 1] = dilation_rate[i]
283 Note in the case that `dilation_rate` is not uniformly 1, specifying "VALID
[all...] |
| nn_impl.py | 458 dilation_rate=rate,
553 dilation_rate=rate,
[all...] |
| /external/tensorflow/tensorflow/contrib/model_pruning/python/layers/ |
| core_layers.py | 60 any `dilation_rate` value != 1.
67 dilation_rate: An integer or tuple/list of n integers, specifying
69 Currently, specifying any `dilation_rate` value != 1 is
92 dilation_rate=1,
114 self.dilation_rate = utils.normalize_tuple(dilation_rate, rank,
115 'dilation_rate')
182 dilation_rate=self.dilation_rate,
224 dilation=self.dilation_rate[i]
[all...] |
| layers.py | 225 dilation_rate=rate,
|
| /external/tensorflow/tensorflow/python/keras/_impl/keras/layers/ |
| convolutional_recurrent.py | 48 any `dilation_rate` value != 1.
60 dilation_rate: An integer or tuple/list of n integers, specifying
62 Currently, specifying any `dilation_rate` value != 1 is
112 dilation_rate=(1, 1),
123 self.dilation_rate = conv_utils.normalize_tuple(dilation_rate, 2,
124 'dilation_rate')
146 dilation=self.dilation_rate[0])
152 dilation=self.dilation_rate[1])
185 'dilation_rate': self.dilation_rate
[all...] |
| convolutional.py | 69 any `dilation_rate` value != 1.
76 dilation_rate: an integer or tuple/list of a single integer, specifying
78 Currently, specifying any `dilation_rate` value != 1 is
107 dilation_rate=1,
124 dilation_rate=dilation_rate,
142 'dilation_rate': self.dilation_rate,
186 any `dilation_rate` value != 1.
198 dilation_rate: an integer or tuple/list of 2 integers, specifyin
[all...] |
| /external/tensorflow/tensorflow/core/framework/ |
| common_shape_fns.h | 78 // The V2 version computes the same outputs with arbitrary dilation_rate.
80 // - When adding dilation_rate (D), we compute an effective filter size (K'):
100 int64 dilation_rate, int64 stride,
113 // The V2 version computes the same outputs with arbitrary dilation_rate. For
116 int64 dilation_rate, int64 stride,
132 // The V2 version computes the same outputs with arbitrary dilation_rate. For
150 // The V2 version computes the same outputs with arbitrary dilation_rate. For
155 int64 dilation_rate, int64 stride,
|
| common_shape_fns.cc | 21 int64 dilation_rate, int64 stride,
28 if (dilation_rate < 1) {
30 dilation_rate);
34 int64 effective_filter_size = (filter_size - 1) * dilation_rate + 1;
66 /*dilation_rate=*/1, stride,
81 int64 dilation_rate, int64 stride,
85 return GetWindowedOutputSizeVerboseV2(input_size, filter_size, dilation_rate,
119 // The V2 version computes windowed output size with arbitrary dilation_rate,
125 shape_inference::DimensionOrConstant filter_size, int64 dilation_rate,
132 if (dilation_rate < 1)
[all...] |
| /external/tensorflow/tensorflow/python/keras/_impl/keras/ |
| backend.py | [all...] |
| /external/tensorflow/tensorflow/python/keras/_impl/keras/applications/ |
| mobilenet.py | 138 any `dilation_rate` value != 1.
260 dilation_rate=self.dilation_rate,
581 any `dilation_rate` value != 1.
647 any `dilation_rate` value != 1.
|
| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| layers.py | [all...] |
| layers_test.py | 266 images, [2, 3], dilation_rate=[1, 2], pooling_type='AVG')
274 dilation_rate=[1, 2],
[all...] |
| /external/tensorflow/tensorflow/contrib/lite/toco/ |
| model.h | 359 // A dilation_rate of 0 is invalid and this field is an optional attribute.
362 int dilation_rate = 1; member in struct:toco::ConvOperator
[all...] |
| /external/tensorflow/tensorflow/stream_executor/ |
| dnn.h | 567 int dilation_rate(DimIndex dim) const { return GetDim(dilation_rates_, dim); } function in class:perftools::gputools::dnn::ConvolutionDescriptor
[all...] |
