| /external/libcups/cups/ |
| D | sidechannel.c | 308 char *real_data; /* Real data buffer for response */ in cupsSideChannelSNMPGet() local
334 if ((real_data = _cupsBufferGet(_CUPS_SC_MAX_BUFFER)) == NULL) in cupsSideChannelSNMPGet()
338 if (cupsSideChannelRead(&rcommand, &status, real_data, &real_datalen, timeout)) in cupsSideChannelSNMPGet()
340 _cupsBufferRelease(real_data); in cupsSideChannelSNMPGet()
346 _cupsBufferRelease(real_data); in cupsSideChannelSNMPGet()
356 real_oidlen = (int)strlen(real_data) + 1; in cupsSideChannelSNMPGet()
361 _cupsBufferRelease(real_data); in cupsSideChannelSNMPGet()
365 memcpy(data, real_data + real_oidlen, (size_t)real_datalen); in cupsSideChannelSNMPGet()
371 _cupsBufferRelease(real_data); in cupsSideChannelSNMPGet()
414 char *real_data; /* Real data buffer for response */ in cupsSideChannelSNMPWalk() local
[all …]
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| /external/tensorflow/tensorflow/contrib/gan/python/estimator/python/ |
| D | gan_estimator_impl.py | 180 real_data = labels # rename inputs for clarity
185 mode, generator_fn, discriminator_fn, real_data, generator_inputs,
201 mode, generator_fn, discriminator_fn, real_data, generator_inputs, argument
205 if real_data is not None:
207 'Instead, found %s' % real_data)
212 generator_fn, discriminator_fn, real_data, generator_inputs,
248 def _make_gan_model(generator_fn, discriminator_fn, real_data, argument
259 real_data,
290 real_data=None,
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| D | tpu_gan_estimator_impl.py | 229 real_data = labels # rename inputs for clarity
237 mode, generator_fn, discriminator_fn, real_data, generator_inputs,
321 generator_inputs, generated_data, real_data, discriminator_real_outputs, argument
329 generator_inputs, generated_data, real_data,
341 'real_data': gan_model.real_data,
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| D | gan_estimator_test.py | 78 real_data = array_ops.zeros([3, 4]) if not is_predict else None
80 mode, generator_fn, discriminator_fn, real_data, generator_inputs,
88 self.assertIsNone(gan_model.real_data)
95 self.assertIsNotNone(gan_model.real_data)
115 real_data=array_ops.zeros([3, 4]),
132 gan_model.real_data, gan_model.generated_data)
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| D | tpu_gan_estimator_test.py | 78 real_data=array_ops.zeros([3, 4]),
86 def get_metrics(generator_inputs, generated_data, real_data, argument
91 real_data, generated_data)
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| D | head_test.py | 52 real_data=None,
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| D | latent_gan_estimator_impl.py | 111 real_data=labels,
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| /external/tensorflow/tensorflow/contrib/gan/python/ |
| D | train.py | 77 real_data, argument
117 real_data = _convert_tensor_or_l_or_d(real_data)
118 discriminator_real_outputs = discriminator_fn(real_data, generator_inputs)
121 if not generated_data.shape.is_compatible_with(real_data.shape):
124 '(%s).' % (generated_data.shape, real_data.shape))
132 generator_fn, real_data, discriminator_real_outputs,
142 real_data, argument
192 real_data = ops.convert_to_tensor(real_data)
193 dis_real_outputs, _ = discriminator_fn(real_data, generator_inputs)
195 if not generated_data.get_shape().is_compatible_with(real_data.get_shape()):
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| D | train_test.py | 157 real_data=array_ops.ones([1, 2, 3]),
175 real_data=array_ops.zeros([1, 2]),
183 real_data=array_ops.zeros([1, 2]),
207 real_data=array_ops.zeros([1, 2]),
216 real_data=array_ops.zeros([1, 2]),
241 real_data=array_ops.zeros([1, 2]),
250 real_data=array_ops.zeros([1, 2]),
369 real_data=array_ops.zeros([1, 2]),
375 real_data=array_ops.zeros([1, 2]),
717 real_data=array_ops.zeros([]),
[all …]
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| /external/tensorflow/tensorflow/contrib/gan/python/eval/python/ |
| D | summaries_impl.py | 62 _assert_is_image(gan_model.real_data)
66 real_image_shape = gan_model.real_data.shape.as_list()[1:3]
68 real_channels = gan_model.real_data.shape.as_list()[3]
74 gan_model.real_data[:num_images],
157 _assert_is_image(gan_model.real_data)
161 gan_model.real_data.shape.assert_is_compatible_with(
169 image_list.extend(array_ops.unstack(gan_model.real_data[:num_comparisons]))
173 real_list = array_ops.unstack(gan_model.real_data[:num_comparisons])
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| D | summaries_test.py | 55 real_data=array_ops.ones([4, 32, 32, 3]),
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| /external/tensorflow/tensorflow/c/ |
| D | env_test.cc | 111 auto* real_data = static_cast<SomeThreadData*>(data); in SomeThreadFunc() local
112 ::tensorflow::mutex_lock l(real_data->mu); in SomeThreadFunc()
113 real_data->did_work = true; in SomeThreadFunc()
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| /external/tensorflow/tensorflow/contrib/gan/python/losses/python/ |
| D | losses_impl.py | 305 real_data, argument
352 (real_data, generated_data)) as scope:
353 real_data = ops.convert_to_tensor(real_data)
355 if real_data.shape.ndims is None:
360 differences = generated_data - real_data
365 interpolates = real_data + (alpha * differences)
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| D | losses_impl_test.py | 467 real_data = array_ops.placeholder(dtypes.float32, shape=(None, None))
471 real_data,
482 real_data: self._real_data_np,
488 real_data = array_ops.placeholder(dtypes.float32, shape=(None, None))
492 real_data,
504 real_data: self._real_data_np,
511 real_data = array_ops.placeholder(dtypes.float32, shape=(None, None))
515 real_data,
527 real_data: self._real_data_np,
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| D | tuple_losses_impl.py | 354 real_data=stargan_model.input_data,
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| D | tuple_losses_test.py | 278 real_data=self.input_data,
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| /external/curl/tests/data/ |
| D | test1426 | 10 <real_data>
23 </real_data>
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| D | test1425 | 10 <real_data>
23 </real_data>
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| /external/tensorflow/tensorflow/python/distribute/ |
| D | input_lib.py | 429 real_data = control_flow_ops.cond(
433 result.append(real_data)
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| /external/tensorflow/tensorflow/compiler/xla/tests/ |
| D | test_utils.cc | 131 absl::Span<const InnerFloatT> real_data = real_lit.data<InnerFloatT>(); in PopulateWithComplexData() local
136 result_data[i] = ComplexT(real_data[i], imaginary_data[i]); in PopulateWithComplexData()
|