| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_Squeeze.pbtxt | 6 The `input` to squeeze.
21 index starts at 0. It is an error to squeeze a dimension that is not 1. Must
36 shape(squeeze(t)) ==> [2, 3]
43 shape(squeeze(t, [2, 4])) ==> [1, 2, 3, 1]
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| /external/tensorflow/tensorflow/contrib/crf/python/kernel_tests/ |
| D | crf_test.py | 61 sequence_score = array_ops.squeeze(sequence_score, [0])
82 unary_score = array_ops.squeeze(unary_score, [0])
98 binary_score = array_ops.squeeze(binary_score, [0])
149 log_norm = array_ops.squeeze(log_norm, [0])
206 sequence_score = array_ops.squeeze(sequence_score, [0])
262 sequence_score = array_ops.squeeze(sequence_score, [0])
275 actual_max_sequence = array_ops.squeeze(actual_max_sequence, [0])
276 actual_max_score = array_ops.squeeze(actual_max_score, [0])
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| /external/tensorflow/tensorflow/contrib/timeseries/examples/ |
| D | multivariate.py | 83 mean=numpy.squeeze(current_prediction["mean"], axis=[0, 1]),
84 cov=numpy.squeeze(current_prediction["covariance"], axis=[0, 1]))
100 all_observations = numpy.squeeze(numpy.concatenate(values, axis=1), axis=0)
101 all_times = numpy.squeeze(numpy.concatenate(times, axis=1), axis=0)
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| D | lstm.py | 117 [tf.squeeze(state_element, axis=0)
225 predicted_mean = numpy.squeeze(numpy.concatenate(
249 numpy.squeeze(saved_model_output["mean"], axis=0))
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| D | predict.py | 87 mean = np.squeeze(np.concatenate(
89 variance = np.squeeze(np.concatenate(
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| D | known_anomaly.py | 104 mean = np.squeeze(np.concatenate(
106 variance = np.squeeze(np.concatenate(
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| /external/tensorflow/tensorflow/python/ops/ |
| D | confusion_matrix.py | 75 predictions = array_ops.squeeze(predictions, [-1])
77 labels = array_ops.squeeze(labels, [-1])
86 lambda: array_ops.squeeze(predictions, [-1]),
92 lambda: array_ops.squeeze(labels, [-1]),
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| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | shape_ops_test.py | 274 np_ans = np.squeeze(x, axis=tuple(squeeze_dims))
275 tensor = array_ops.squeeze(x, squeeze_dims)
278 np_ans = np.squeeze(x)
279 tensor = array_ops.squeeze(x)
341 tensor = array_ops.squeeze(np.zeros([1, 1, 1]), [])
351 tensor = array_ops.squeeze([[[False]]], [])
363 self.assertRaises(ValueError, array_ops.squeeze, input_1x1x3, [2])
368 self.assertRaises(ValueError, array_ops.squeeze,
370 self.assertRaises(ValueError, array_ops.squeeze,
372 self.assertRaises(ValueError, array_ops.squeeze,
[all …]
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| /external/tensorflow/tensorflow/contrib/lite/kernels/ |
| D | squeeze.cc | 26 namespace squeeze { namespace
92 static TfLiteRegistration r = {nullptr, nullptr, squeeze::Prepare, in Register_SQUEEZE()
93 squeeze::Eval}; in Register_SQUEEZE()
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| /external/tensorflow/tensorflow/contrib/solvers/python/ops/ |
| D | least_squares.py | 110 x=array_ops.squeeze(state.x),
111 r=array_ops.squeeze(state.r),
112 p=array_ops.squeeze(state.p),
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| D | linear_equations.py | 128 x=array_ops.squeeze(state.x),
129 r=array_ops.squeeze(state.r),
130 p=array_ops.squeeze(state.p),
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| /external/tensorflow/tensorflow/contrib/crf/python/ops/ |
| D | crf.py | 94 array_ops.squeeze(inputs, [1]),
126 first_input = array_ops.squeeze(first_input, [1])
433 state = array_ops.squeeze(state, axis=[1]) # [B]
464 squeezed_potentials = array_ops.squeeze(potentials, [1])
480 initial_state = array_ops.squeeze(initial_state, axis=[1]) # [B, O]
504 decode_tags = array_ops.squeeze(decode_tags, axis=[2]) # [B, T - 1]
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| /external/tensorflow/tensorflow/tools/compatibility/testdata/ |
| D | test_file_v0_11.py | 121 self.assertAllEqual(tf.expand_dims(tf.squeeze(a, [0]), 0).eval(),
123 self.assertAllEqual(tf.squeeze(tf.expand_dims(a, 1), [1]).eval(),
127 tf.squeeze(
131 tf.squeeze(
137 tf.squeeze(
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| /external/tensorflow/tensorflow/contrib/framework/python/framework/ |
| D | tensor_util.py | 110 labels = array_ops.squeeze(labels, [-1])
112 predictions = array_ops.squeeze(predictions, [-1])
121 lambda: array_ops.squeeze(predictions, [-1]),
127 lambda: array_ops.squeeze(labels, [-1]),
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| /external/tensorflow/tensorflow/contrib/tensor_forest/hybrid/python/ops/ |
| D | training_ops.py | 115 dl_db = math_ops.reduce_mean(array_ops.squeeze(dl_du * du_df * df_db, [2]), 0)
194 dl_db = math_ops.reduce_mean(array_ops.squeeze(dl_du * du_df * df_db, [2]), 0)
272 dl_db = math_ops.reduce_mean(array_ops.squeeze(dl_du * du_df * df_db, [2]), 0)
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| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/ |
| D | kalman_filter.py | 169 advanced_state = array_ops.squeeze(
252 posterior_state = prior_state + array_ops.squeeze(
330 observed_mean = array_ops.squeeze(
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| /external/tensorflow/tensorflow/contrib/gan/python/features/python/ |
| D | virtual_batchnorm_test.py | 93 vb_mean = array_ops.squeeze(vb_mean, batch_axis)
94 vb_variance = array_ops.squeeze(vb_variance, batch_axis)
142 vb_normed = array_ops.squeeze(
168 vbn_fixed_example = array_ops.squeeze(
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| /external/tensorflow/tensorflow/examples/wav_to_spectrogram/ |
| D | wav_to_spectrogram.cc | 72 Output squeeze = Squeeze(root.WithOpName("squeeze"), expand_dims, in WavToSpectrogram() local
74 Output png_encoder = EncodePng(root.WithOpName("png_encoder"), squeeze); in WavToSpectrogram()
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| /external/tensorflow/tensorflow/contrib/signal/python/kernel_tests/ |
| D | reconstruction_ops_test.py | 97 signal = constant_op.constant(np.squeeze(self.powers[0, :, :]),
122 input_matrix = np.squeeze(self.powers[0, :, :])
131 np.squeeze(output)]
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| /external/curl/m4/ |
| D | curl-compilers.m4 | 452 squeeze CFLAGS
467 squeeze CPPFLAGS
688 squeeze tmp_CPPFLAGS
689 squeeze tmp_CFLAGS
695 squeeze CPPFLAGS
696 squeeze CFLAGS
750 squeeze CPPFLAGS
751 squeeze CFLAGS
831 squeeze CPPFLAGS
832 squeeze CFLAGS
[all …]
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| /external/tensorflow/tensorflow/contrib/training/python/training/ |
| D | sampling_ops.py | 109 tensor_list = [array_ops.squeeze(x, [0]) for x in batched]
246 val_list = [array_ops.squeeze(x, [0]) for x in batched[:-1]]
247 label = array_ops.squeeze(batched[-1], [0])
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| /external/tensorflow/tensorflow/contrib/slim/python/slim/nets/ |
| D | vgg.py | 131 net = array_ops.squeeze(net, [1, 2], name='fc8/squeezed')
196 net = array_ops.squeeze(net, [1, 2], name='fc8/squeezed')
261 net = array_ops.squeeze(net, [1, 2], name='fc8/squeezed')
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| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| D | _sklearn.py | 162 y_true = np.squeeze(y_true)
164 y_pred = np.squeeze(y_pred)
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| /external/tensorflow/tensorflow/examples/label_image/ |
| D | label_image.py | 50 image_reader = tf.squeeze(
135 results = np.squeeze(results)
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| /external/tensorflow/tensorflow/contrib/tensor_forest/client/ |
| D | eval_metrics.py | 40 targets = array_ops.squeeze(targets, squeeze_dims=[1])
60 targets = array_ops.squeeze(targets, squeeze_dims=[1])
|