| /external/tensorflow/tensorflow/contrib/eager/python/examples/mnist/ |
| mnist_graph_test.py | 25 def data_format(): function
45 model = mnist.MNISTModel(data_format())
|
| mnist_test.py | 30 def data_format(): function
43 model = mnist.MNISTModel(data_format())
54 model = mnist.MNISTModel(data_format())
|
| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| bias_ops.cc | 31 string data_format; local
32 if (ctx->GetAttr("data_format", &data_format).ok()) {
33 OP_REQUIRES(ctx, FormatFromString(data_format, &data_format_),
78 string data_format; local
79 if (ctx->GetAttr("data_format", &data_format).ok()) {
80 OP_REQUIRES(ctx, FormatFromString(data_format, &data_format_),
|
| extract_image_patches_op.cc | 36 const TensorFormat data_format = FORMAT_NHWC; variable
53 int batch_dim = GetTensorBatchDimIndex(num_dims, data_format);
54 int feature_dim = GetTensorFeatureDimIndex(num_dims, data_format);
70 int input_dim = GetTensorSpatialDimIndex(num_dims, data_format, i);
103 int input_dim = GetTensorSpatialDimIndex(num_dims, data_format, i);
135 const int64 dim = GetTensorSpatialDimIndex(num_dims, data_format, i);
|
| pooling_ops.cc | 156 OP_REQUIRES_OK(ctx, ctx->GetAttr("data_format", &data_format_str));
181 int num_spatial_dims, TensorFormat data_format) {
204 int dim = GetTensorSpatialDimIndex(num_spatial_dims + 2, data_format, i);
255 OP_REQUIRES_OK(ctx, ctx->GetAttr("data_format", &data_format_str));
366 string data_format; local
367 OP_REQUIRES_OK(ctx, ctx->GetAttr("data_format", &data_format));
368 OP_REQUIRES(ctx, FormatFromString(data_format, &data_format_),
511 string data_format; local
512 OP_REQUIRES_OK(ctx, ctx->GetAttr("data_format", &data_format))
[all...] |
| conv_ops.cc | 186 string data_format; local
187 OP_REQUIRES_OK(ctx, ctx->GetAttr("data_format", &data_format));
188 OP_REQUIRES(ctx, FormatFromString(data_format, &data_format_),
337 string data_format; local
338 OP_REQUIRES_OK(ctx, ctx->GetAttr("data_format", &data_format));
339 OP_REQUIRES(ctx, FormatFromString(data_format, &data_format_),
495 string data_format; local
496 OP_REQUIRES_OK(ctx, ctx->GetAttr("data_format", &data_format))
[all...] |
| /external/tensorflow/tensorflow/contrib/eager/python/examples/gan/ |
| mnist_graph_test.py | 35 def data_format(): function
48 generator = mnist.Generator(data_format())
49 discriminator = mnist.Discriminator(data_format())
81 data_format())
128 generator = mnist.Generator(data_format())
|
| mnist_test.py | 35 def data_format(): function
49 data_format())
68 generator = mnist.Generator(data_format())
69 discriminator = mnist.Discriminator(data_format())
95 generator = mnist.Generator(data_format())
|
| /external/tensorflow/tensorflow/contrib/eager/python/examples/resnet50/ |
| resnet50_graph_test.py | 31 def data_format(): function
36 if data_format() == 'channels_first':
57 model = resnet50.ResNet50(data_format())
79 model = resnet50.ResNet50(data_format())
108 name = 'graph_%s_%s_batch_%d_%s' % (label, dev, batch_size, data_format())
116 model = resnet50.ResNet50(data_format())
143 model = resnet50.ResNet50(data_format())
|
| /external/autotest/client/cros/audio/ |
| audio_test_data.py | 23 def __init__(self, data_format=None, path=None, frequencies=None,
28 @param data_format: A dict containing data format including
43 self.data_format = data_format
61 def convert(self, data_format, volume_scale, path=None):
67 data_format = dict(file_type='raw', sample_format='S32_LE',
74 @param data_format: A dict containing new data format.
89 new_ext = '.' + data_format['file_type']
93 '_'.join(str(x) for x in data_format.values()) +
96 logging.debug('src data_format: %s', self.data_format
223 data_format=dict(file_type='raw', variable
236 data_format=dict(file_type='raw', variable
252 data_format=dict(file_type='raw', variable
268 data_format=dict(file_type='raw', variable
285 data_format=dict(file_type='raw', variable
[all...] |
| /external/tensorflow/tensorflow/core/kernels/ |
| pooling_ops_3d.h | 44 TensorFormat data_format,
75 TensorFormat data_format; member in struct:tensorflow::Pool3dParameters
|
| bias_op.cc | 44 void GetBiasValueDims(const Tensor& value_tensor, TensorFormat data_format,
51 if (data_format == FORMAT_NHWC) {
57 } else if (data_format == FORMAT_NCHW) {
88 string data_format; local
89 if (context->GetAttr("data_format", &data_format).ok()) {
90 OP_REQUIRES(context, FormatFromString(data_format, &data_format_),
208 string data_format; local
209 if (context->GetAttr("data_format", &data_format).ok())
312 string data_format; local
371 string data_format; local
[all...] |
| avgpooling_op.cc | 53 string data_format; local
54 OP_REQUIRES_OK(context, context->GetAttr("data_format", &data_format));
55 OP_REQUIRES(context, FormatFromString(data_format, &data_format_),
118 string data_format; local
119 OP_REQUIRES_OK(context, context->GetAttr("data_format", &data_format));
120 OP_REQUIRES(context, FormatFromString(data_format, &data_format_),
212 string data_format; local
213 OP_REQUIRES_OK(context, context->GetAttr("data_format", &data_format))
374 string data_format; local
448 string data_format; local
[all...] |
| depthwise_conv_op.cc | 84 T* output, TensorFormat data_format) {
158 TensorFormat data_format) {
160 ctx, data_format == FORMAT_NHWC,
186 auto shard = [&ctx, &args, &input, &filter_data, &output, data_format](
222 input_buffer_data, output + out_base, data_format);
264 string data_format; local
265 OP_REQUIRES_OK(context, context->GetAttr("data_format", &data_format));
266 OP_REQUIRES(context, FormatFromString(data_format, &data_format_),
|
| mkl_conv_grad_bias_ops.cc | 54 string data_format; local
55 OP_REQUIRES_OK(context, context->GetAttr("data_format", &data_format));
56 OP_REQUIRES(context, FormatFromString(data_format, &data_format_),
|
| pooling_ops_3d.cc | 56 Padding padding, TensorFormat data_format,
62 this->data_format = data_format;
63 depth = GetTensorDim(tensor_in_shape, data_format, 'C');
64 tensor_in_planes = GetTensorDim(tensor_in_shape, data_format, '0');
65 tensor_in_rows = GetTensorDim(tensor_in_shape, data_format, '1');
66 tensor_in_cols = GetTensorDim(tensor_in_shape, data_format, '2');
67 tensor_in_batch = GetTensorDim(tensor_in_shape, data_format, 'N');
68 window_planes = GetTensorDim(ksize, data_format, '0');
69 window_rows = GetTensorDim(ksize, data_format, '1')
134 string data_format; local
307 string data_format; local
461 string data_format; local
660 string data_format; local
[all...] |
| pooling_ops_common.h | 45 TensorFormat data_format, const TensorShape& tensor_in_shape);
72 TensorFormat data_format; member in struct:tensorflow::PoolParameters
82 string data_format; local
83 auto status = context->GetAttr("data_format", &data_format);
85 OP_REQUIRES(context, FormatFromString(data_format, &data_format_),
292 string data_format; local
293 auto status = context->GetAttr("data_format", &data_format);
295 OP_REQUIRES(context, FormatFromString(data_format, &data_format_)
[all...] |
| conv_grad_ops_3d.cc | 142 // data_format is only available in V2.
144 string data_format; local
145 OP_REQUIRES_OK(context, context->GetAttr("data_format", &data_format));
146 OP_REQUIRES(context, FormatFromString(data_format, &data_format_),
252 // data_format is only available in V2.
254 string data_format; local
255 OP_REQUIRES_OK(context, context->GetAttr("data_format", &data_format));
256 OP_REQUIRES(context, FormatFromString(data_format, &data_format_)
436 string data_format; local
780 string data_format; local
[all...] |
| /external/tensorflow/tensorflow/cc/gradients/ |
| nn_grad.cc | 109 string data_format; local
112 GetNodeAttr(op.output(0).node()->attrs(), "data_format", &data_format));
113 input_attrs.DataFormat(data_format);
124 string data_format; local
129 TF_RETURN_IF_ERROR(GetNodeAttr(attrs, "data_format", &data_format));
134 input_attrs.DataFormat(data_format);
141 filter_attrs.DataFormat(data_format);
154 string data_format; local
178 string data_format; local
[all...] |
| /external/tensorflow/tensorflow/core/graph/ |
| mkl_tfconversion_pass.cc | 152 string data_format; local
179 if (GetNodeAttr(src->def(), "data_format", &data_format) == Status::OK()) {
180 conversion_node->AddAttr("data_format", data_format);
258 string data_format; local
259 if (GetNodeAttr(edges[0]->src()->def(), "data_format", &data_format) ==
261 conversion_node->AddAttr("data_format", data_format);
[all...] |
| /external/autotest/client/cros/chameleon/ |
| audio_widget.py | 135 def data_format(self): member in class:AudioInputWidget
372 @returns: A tuple (remote_path, data_format) for recorded data.
495 self._test_data_for_chameleon_format = test_data.data_format
831 if test_data.data_format != self._DEFAULT_DATA_FORMAT:
|
| /external/libexif/libexif/ |
| exif-loader.c | 69 ExifLoaderDataFormat data_format; member in struct:_ExifLoader
172 switch (eld->data_format) {
206 switch (eld->data_format) {
213 eld->data_format = EL_DATA_FORMAT_FUJI_RAW;
221 eld->data_format = EL_DATA_FORMAT_EXIF;
255 switch (eld->data_format) {
261 eld->data_format = EL_DATA_FORMAT_EXIF;
277 eld->data_format = EL_DATA_FORMAT_EXIF;
279 eld->data_format = EL_DATA_FORMAT_JPEG; /* Probably JFIF - keep searching for APP1 EXIF*/
290 eld->data_format = EL_DATA_FORMAT_JPEG
[all...] |
| /external/mesa3d/src/amd/vulkan/ |
| radv_formats.c | 451 unsigned data_format, num_format; local
455 data_format = radv_translate_tex_dataformat(format, desc,
460 if(data_format == ~0 || num_format == ~0)
475 switch(data_format) {
503 unsigned data_format, num_format; local
507 data_format = radv_translate_buffer_dataformat(desc,
512 return data_format != V_008F0C_BUF_DATA_FORMAT_INVALID &&
[all...] |
| radv_image.c | 168 unsigned num_format, data_format; local
175 data_format = radv_translate_buffer_dataformat(desc, first_non_void);
187 S_008F0C_DATA_FORMAT(data_format);
264 unsigned num_format, data_format, type; local
282 data_format = radv_translate_tex_dataformat(vk_format, desc, first_non_void);
283 if (data_format == ~0) {
284 data_format = 0;
300 state[1] = (S_008F14_DATA_FORMAT(data_format) |
[all...] |
| /external/tensorflow/tensorflow/python/ops/ |
| nn_ops.py | 54 data_format=None, # pylint: disable=redefined-builtin
67 `[batch_size] + input_spatial_shape + [in_channels]` if `data_format`
69 `[batch_size, in_channels] + input_spatial_shape` if `data_format` starts
75 data_format: A string or None. Specifies whether the channel dimension of
76 the `input` and output is the last dimension (default, or if `data_format`
77 does not start with "NC"), or the second dimension (if `data_format`
105 data_format=data_format,
122 data_format: see _non_atrous_convolution.
132 data_format=None
2374 data_format="NHWC") variable
[all...] |
