| /external/tensorflow/tensorflow/python/layers/ |
| D | pooling.py | 47 def __init__(self, pool_size, strides, argument
50 if strides is None:
54 strides=strides,
64 def average_pooling1d(inputs, pool_size, strides, argument
91 strides=strides,
117 def __init__(self, pool_size, strides, argument
120 if strides is None:
124 strides=strides,
134 def max_pooling1d(inputs, pool_size, strides, argument
161 strides=strides,
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| D | convolutional.py | 82 strides=1, argument
101 strides=strides,
125 strides=1, argument
201 strides=strides,
281 strides=(1, 1), argument
300 strides=strides,
324 strides=(1, 1), argument
407 strides=strides,
488 strides=(1, 1, 1), argument
507 strides=strides,
[all …]
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| D | pooling_test.py | 34 pooling_layers.max_pooling2d(images, 3, strides=2, data_format='invalid')
40 pooling_layers.max_pooling2d(images, 3, strides=(1, 2, 3))
43 pooling_layers.max_pooling2d(images, 3, strides=None)
49 pooling_layers.max_pooling2d(images, (1, 2, 3), strides=2)
52 pooling_layers.max_pooling2d(images, None, strides=2)
57 layer = pooling_layers.MaxPooling2D([2, 2], strides=2)
64 layer = pooling_layers.AveragePooling2D([2, 2], strides=2)
73 strides=1,
83 strides=(1, 1),
95 strides=(1, 1),
[all …]
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| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | pooling_ops_3d_test.py | 48 def _VerifyOneTest(self, pool_func, input_sizes, window, strides, padding, argument
71 strides = [1] + list(strides) + [1]
75 strides = test_util.NHWCToNCHW(strides)
79 strides=strides,
89 def _VerifyValues(self, pool_func, input_sizes, window, strides, argument
92 self._VerifyOneTest(pool_func, input_sizes, window, strides, padding,
101 strides=(2, 2, 2),
111 strides=(2, 2, 2),
121 strides=(2, 3, 1),
131 strides=(2, 2, 2),
[all …]
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| D | morphological_ops_test.py | 33 def _VerifyValues(self, image, kernel, strides, rates, padding, out, use_gpu): argument
45 strides = [1] + strides + [1]
52 strides=strides,
68 strides=[1, 1],
84 strides=[1, 1],
100 strides=[1, 1],
116 strides=[1, 1],
132 strides=[1, 1],
152 strides=[1, 1],
169 strides=[1, 2],
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| D | pool_test.py | 105 strides, argument
142 stride=strides[i])
167 strides=[1, 2])
183 strides=[1])
184 for strides in [[1], [2], [3]]:
185 if np.any(np.array(strides) > window_shape):
193 strides=strides)
209 strides=[1, 1])
210 for strides in [[1, 1], [2, 1], [1, 2], [2, 3]]:
211 if np.any(np.array(strides) > window_shape):
[all …]
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| D | conv_ops_test.py | 121 strides = [
145 for i, f, o, s, p in zip(input_sizes, filter_sizes, out_sizes, strides,
183 strides, padding, data_format, dtype, use_gpu): argument
206 strides = [1] + strides + [1]
212 strides = test_util.NHWCToNCHW(strides)
220 strides=strides,
248 strides = [1] + conv_strides + [1]
251 strides = test_util.NHWCToNCHW(strides)
253 t1, t2, strides=strides, padding=padding, data_format=data_format)
274 strides = list(stride)
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| D | conv1d_transpose_test.py | 37 strides = [1, 1, 1]
51 x, f, y_shape, strides=strides, padding="SAME")
65 strides = [1, 2, 1]
79 x, f, y_shape, strides=strides, padding="SAME")
87 w_in = w % strides[1] == 0 and w > 0 and w < y_shape[1] - 1
94 strides = [1, 2, 1]
108 x, f, y_shape, strides=strides, padding="VALID")
121 w_in = w % strides[1] == 0 and w > pad and w < y_shape[1] - 1 - pad
138 strides = [1, 2, 1]
146 x, f, y_shape, strides=strides, padding="SAME")
[all …]
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| D | conv2d_transpose_test.py | 42 strides = [1, 1, 1, 1]
54 x, f, y_shape, strides=strides, padding="SAME")
83 strides = [1, 2, 2, 1]
95 x, f, y_shape, strides=strides, padding="SAME")
104 h_in = h % strides[1] == 0 and h > 0 and h < y_shape[1] - 1
105 w_in = w % strides[2] == 0 and w > 0 and w < y_shape[2] - 1
119 strides = [1, 2, 2, 1]
131 x, f, y_shape, strides=strides, padding="VALID")
145 h_in = h % strides[1] == 0 and h > pad and h < y_shape[
147 w_in = w % strides[2] == 0 and w > pad and w < y_shape[
[all …]
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| D | conv3d_transpose_test.py | 37 strides = [1, 1, 1, 1, 1]
51 x, f, y_shape, strides=strides, padding="SAME")
87 strides = [1, 2, 2, 2, 1]
101 x, f, y_shape, strides=strides, padding="SAME")
110 d_in = d % strides[1] == 0 and 0 < d < y_shape[1] - 1
111 h_in = h % strides[2] == 0 and 0 < h < y_shape[2] - 1
112 w_in = w % strides[3] == 0 and 0 < w < y_shape[3] - 1
129 strides = [1, 1, 2, 2, 2]
134 x_value, f_value, y_shape, strides, data_format='NCDHW')
143 strides = [1, 1, 1, 1, 1]
[all …]
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| D | cudnn_deterministic_base.py | 74 def _random_out_op(self, in_shape, filter_shape, strides, padding): argument
80 conv_op = nn_ops.conv2d(in_op, filter_op, strides=strides, padding=padding)
103 strides = [1, 1, 1, 1, 1]
109 strides=strides,
122 strides = [1, 1, 1, 1]
124 out_op = self._random_out_op(in_shape, filter_shape, strides, padding)
126 in_op, filter_shape, out_op, strides=strides, padding=padding)
136 strides = [1, 1, 1, 1]
138 out_op = self._random_out_op(in_shape, filter_shape, strides, padding)
140 in_shape, filter_op, out_op, strides=strides, padding=padding)
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| D | pooling_ops_test.py | 95 strides = [[1, 2, 2, 1], [1, 2, 2, 1], [1, 2, 2, 1], [1, 1, 1, 1]]
103 strides, paddings):
109 def _VerifyOneType(self, pool_func, input_sizes, ksize, strides, padding, argument
140 input_sizes, total_size, pool_func, ksize, strides,
154 strides = test_util.NHWCToNCHW(strides)
161 strides=strides_placeholder,
168 strides=strides,
179 strides_placeholder: strides
186 def _VerifyOneTest(self, pool_func, input_sizes, ksize, strides, padding, argument
208 self._VerifyOneType(pool_func, input_sizes, ksize, strides, padding,
[all …]
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| /external/tensorflow/tensorflow/compiler/tests/ |
| D | pooling_ops_3d_test.py | 34 def _AvgPoolGrad(inputs, outputs, output_gradients, ksize, strides, padding): argument
40 strides=strides,
46 def _VerifyValues(self, pool_func, input_sizes, window, strides, padding, argument
70 strides=[1] + strides + [1],
83 strides=[2, 2, 2],
93 strides=[2, 2, 2],
103 strides=[2, 3, 1],
113 strides=[2, 2, 2],
123 strides=[2, 2, 2],
133 strides=[2, 3, 1],
[all …]
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| D | pooling_ops_test.py | 74 def _VerifyOneTest(self, pool_func, input_sizes, ksize, strides, padding, argument
99 strides = NHWCToNCHW(strides)
102 strides=strides,
110 def _VerifyValues(self, pool_func, input_sizes, ksize, strides, padding, argument
124 self._VerifyOneTest(pool_func, input_sizes, ksize, strides, padding,
132 strides=[1, 2, 2, 1],
141 strides=[1, 2, 2, 1],
158 strides=[1, 1, 1, 1],
167 strides=[1, 1, 2, 1],
174 strides=[1, 2, 1, 1],
[all …]
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| D | conv2d_test.py | 47 strides=None, argument
73 strides = [1] + strides + [1]
85 strides = test_utils.PermuteDimsBetweenDataFormats(strides, data_format_src,
97 strides=strides,
114 strides=[1, 1],
127 strides=[1, 1],
139 strides=[1, 1],
155 strides=[1, 1],
167 strides=[2, 2],
180 strides=[2, 2],
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| /external/tensorflow/tensorflow/lite/testing/nnapi_tflite_zip_tests/ |
| D | test_manifest.txt | 17 avg_pool/avg_pool_data_format='NHWC',input_shape=[1,1,1,1],ksize=[1,1,1,1],padding='SAME',strides=[…
18 avg_pool/avg_pool_data_format='NHWC',input_shape=[1,1,1,1],ksize=[1,1,1,1],padding='SAME',strides=[…
19 avg_pool/avg_pool_data_format='NHWC',input_shape=[1,1,1,1],ksize=[1,1,1,1],padding='SAME',strides=[…
20 avg_pool/avg_pool_data_format='NHWC',input_shape=[1,15,14,1],ksize=[1,1,1,1],padding='SAME',strides…
21 avg_pool/avg_pool_data_format='NHWC',input_shape=[1,15,14,1],ksize=[1,1,1,1],padding='SAME',strides…
22 avg_pool/avg_pool_data_format='NHWC',input_shape=[1,15,14,1],ksize=[1,1,1,1],padding='SAME',strides…
23 avg_pool/avg_pool_data_format='NHWC',input_shape=[3,15,14,3],ksize=[1,1,1,1],padding='SAME',strides…
24 avg_pool/avg_pool_data_format='NHWC',input_shape=[3,15,14,3],ksize=[1,1,1,1],padding='SAME',strides…
25 avg_pool/avg_pool_data_format='NHWC',input_shape=[3,15,14,3],ksize=[1,1,1,1],padding='SAME',strides…
26 avg_pool/avg_pool_data_format='NHWC',input_shape=[1,1,1,1],ksize=[1,1,1,1],padding='VALID',strides=…
[all …]
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| /external/tensorflow/tensorflow/python/keras/layers/ |
| D | pooling.py | 57 def __init__(self, pool_function, pool_size, strides, argument
63 if strides is None:
64 strides = pool_size
67 self.strides = conv_utils.normalize_tuple(strides, 1, 'strides')
78 strides=self.strides + (1,),
94 self.strides[0])
102 'strides': self.strides,
190 def __init__(self, pool_size=2, strides=None, argument
196 strides=strides,
233 def __init__(self, pool_size=2, strides=None, argument
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| /external/eigen/unsupported/test/ |
| D | cxx11_tensor_striding.cpp | 21 array<ptrdiff_t, 4> strides; in test_simple_striding() local
22 strides[0] = 1; in test_simple_striding()
23 strides[1] = 1; in test_simple_striding()
24 strides[2] = 1; in test_simple_striding()
25 strides[3] = 1; in test_simple_striding()
28 no_stride = tensor.stride(strides); in test_simple_striding()
45 strides[0] = 2; in test_simple_striding()
46 strides[1] = 4; in test_simple_striding()
47 strides[2] = 2; in test_simple_striding()
48 strides[3] = 3; in test_simple_striding()
[all …]
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| D | cxx11_tensor_inflation.cpp | 21 array<ptrdiff_t, 4> strides; in test_simple_inflation() local
23 strides[0] = 1; in test_simple_inflation()
24 strides[1] = 1; in test_simple_inflation()
25 strides[2] = 1; in test_simple_inflation()
26 strides[3] = 1; in test_simple_inflation()
29 no_stride = tensor.inflate(strides); in test_simple_inflation()
46 strides[0] = 2; in test_simple_inflation()
47 strides[1] = 4; in test_simple_inflation()
48 strides[2] = 2; in test_simple_inflation()
49 strides[3] = 3; in test_simple_inflation()
[all …]
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| /external/tensorflow/tensorflow/python/ops/ |
| D | nn_ops.py | 89 strides=None, argument
140 strides=strides,
167 strides=None, argument
179 if strides is None:
180 strides = [1] * conv_dims
181 elif len(strides) != conv_dims:
182 raise ValueError("len(strides)=%d, but should be %d" % (len(strides),
190 self.strides = strides[0]
196 strides = [1] + list(strides) + [1]
198 strides = [1, 1] + list(strides)
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| /external/libjpeg-turbo/java/org/libjpegturbo/turbojpeg/ |
| D | YUVImage.java | 90 public YUVImage(int width, int[] strides, int height, int subsamp) { in YUVImage() argument
91 setBuf(null, null, width, strides, height, subsamp, true); in YUVImage()
147 public YUVImage(byte[][] planes, int[] offsets, int width, int[] strides, in YUVImage() argument
149 setBuf(planes, offsets, width, strides, height, subsamp, false); in YUVImage()
211 public void setBuf(byte[][] planes, int[] offsets, int width, int[] strides, in setBuf() argument
213 setBuf(planes, offsets, width, strides, height, subsamp, false); in setBuf()
216 private void setBuf(byte[][] planes, int[] offsets, int width, int[] strides, in setBuf() argument
225 (strides != null && strides.length != nc)) in setBuf()
232 if (strides == null) in setBuf()
233 strides = new int[nc]; in setBuf()
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| /external/libaom/libaom/third_party/libyuv/source/ |
| D | convert_jpeg.cc | 36 const int* strides, in JpegCopyI420() argument
39 I420Copy(data[0], strides[0], in JpegCopyI420()
40 data[1], strides[1], in JpegCopyI420()
41 data[2], strides[2], in JpegCopyI420()
54 const int* strides, in JpegI422ToI420() argument
57 I422ToI420(data[0], strides[0], in JpegI422ToI420()
58 data[1], strides[1], in JpegI422ToI420()
59 data[2], strides[2], in JpegI422ToI420()
72 const int* strides, in JpegI444ToI420() argument
75 I444ToI420(data[0], strides[0], in JpegI444ToI420()
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| /external/libyuv/files/source/ |
| D | convert_jpeg.cc | 37 const int* strides, in JpegCopyI420() argument
40 I420Copy(data[0], strides[0], data[1], strides[1], data[2], strides[2], in JpegCopyI420()
51 const int* strides, in JpegI422ToI420() argument
54 I422ToI420(data[0], strides[0], data[1], strides[1], data[2], strides[2], in JpegI422ToI420()
65 const int* strides, in JpegI444ToI420() argument
68 I444ToI420(data[0], strides[0], data[1], strides[1], data[2], strides[2], in JpegI444ToI420()
79 const int* strides, in JpegI400ToI420() argument
82 I400ToI420(data[0], strides[0], dest->y, dest->y_stride, dest->u, in JpegI400ToI420()
204 const int* strides, in JpegI420ToNV21() argument
207 I420ToNV21(data[0], strides[0], data[1], strides[1], data[2], strides[2], in JpegI420ToNV21()
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| /external/libvpx/libvpx/third_party/libyuv/source/ |
| D | convert_jpeg.cc | 37 const int* strides, in JpegCopyI420() argument
40 I420Copy(data[0], strides[0], data[1], strides[1], data[2], strides[2], in JpegCopyI420()
51 const int* strides, in JpegI422ToI420() argument
54 I422ToI420(data[0], strides[0], data[1], strides[1], data[2], strides[2], in JpegI422ToI420()
65 const int* strides, in JpegI444ToI420() argument
68 I444ToI420(data[0], strides[0], data[1], strides[1], data[2], strides[2], in JpegI444ToI420()
79 const int* strides, in JpegI400ToI420() argument
82 I400ToI420(data[0], strides[0], dest->y, dest->y_stride, dest->u, in JpegI400ToI420()
203 const int* strides, in JpegI420ToARGB() argument
206 I420ToARGB(data[0], strides[0], data[1], strides[1], data[2], strides[2], in JpegI420ToARGB()
[all …]
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| /external/tensorflow/tensorflow/core/lib/random/ |
| D | random_distributions_test.cc | 151 const std::vector<int>& strides, T z_limit) { in UniformMomentsTest() argument
158 for (int stride : strides) { in UniformMomentsTest()
169 const std::vector<int>& strides, T z_limit) { in NormalMomentsTest() argument
190 for (int stride : strides) { in NormalMomentsTest()
244 const std::vector<int>& strides, T z_limit) { in RandomParametersMomentsTest() argument
252 for (int stride : strides) { in RandomParametersMomentsTest()
260 const std::vector<int> strides = {0, 1, 4, 17}; in TEST() local
261 UniformMomentsTest<bfloat16>(1 << 20, 40, strides, bfloat16(kZLimitBfloat16)); in TEST()
265 const std::vector<int> strides = {0, 1, 4, 17}; in TEST() local
266 NormalMomentsTest<bfloat16>(8 << 20, 25, strides, bfloat16(kZLimitBfloat16)); in TEST()
[all …]
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