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/external/tensorflow/tensorflow/core/api_def/base_api/
Dapi_def_Squeeze.pbtxt6 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]
/external/tensorflow/tensorflow/python/compiler/tensorrt/test/
Dunary_test.py51 q = array_ops.squeeze(q, axis=-2)
57 q = array_ops.squeeze(q, axis=3)
82 q = array_ops.squeeze(q, axis=[-1, -2, 3])
87 q = array_ops.squeeze(q, axis=[5, 2, 3])
99 array_ops.squeeze(q, name=output_name)
Dbase_test.py66 array_ops.squeeze(pool, name=output_name)
123 array_ops.squeeze(s, name=output_name)
175 array_ops.squeeze(n, name=output_name)
228 array_ops.squeeze(n, name=output_name)
261 array_ops.squeeze(n, name=output_name)
295 array_ops.squeeze(n, name=output_name)
344 array_ops.squeeze(add3, name=output_name)
/external/tensorflow/tensorflow/core/grappler/optimizers/
Dremapper.cc96 Conv2DWithSqueezeAndBiasAdd(const NodeDef* conv2d, const NodeDef* squeeze, in Conv2DWithSqueezeAndBiasAdd()
98 : conv2d(conv2d), squeeze(squeeze), bias_add(bias_add) {} in Conv2DWithSqueezeAndBiasAdd()
101 const NodeDef* squeeze = nullptr; member
304 const auto squeeze = ctx.graph_view.GetRegularFanin(bias_input_port); in FindConv2DWithSqueezeAndBias() local
306 if (!squeeze.node || !IsSqueeze(*squeeze.node) || in FindConv2DWithSqueezeAndBias()
307 !HaveSameDataType(bias_add, squeeze.node, "T") || in FindConv2DWithSqueezeAndBias()
308 HasControlFaninOrFanout(ctx.graph_view, squeeze.node) || in FindConv2DWithSqueezeAndBias()
309 !HasSingleFanoutNode(ctx.graph_view, squeeze.node) || in FindConv2DWithSqueezeAndBias()
310 IsInPreserveSet(ctx, squeeze.node)) in FindConv2DWithSqueezeAndBias()
315 if (!GetNodeAttr(*squeeze.node, "squeeze_dims", &dims).ok()) return false; in FindConv2DWithSqueezeAndBias()
[all …]
/external/tensorflow/tensorflow/contrib/timeseries/examples/
Dmultivariate.py83 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)
Dknown_anomaly.py54 return tf.equal(tf.squeeze(features["is_changepoint"], axis=-1), "yes")
129 mean = np.squeeze(np.concatenate(
131 variance = np.squeeze(np.concatenate(
/external/tensorflow/tensorflow/contrib/crf/python/kernel_tests/
Dcrf_test.py70 sequence_score = array_ops.squeeze(sequence_score, [0])
105 sequence_score = array_ops.squeeze(sequence_score, [0])
132 unary_score = array_ops.squeeze(unary_score, [0])
148 binary_score = array_ops.squeeze(binary_score, [0])
199 log_norm = array_ops.squeeze(log_norm, [0])
272 sequence_score = array_ops.squeeze(sequence_score, [0])
328 sequence_score = array_ops.squeeze(sequence_score, [0])
341 actual_max_sequence = array_ops.squeeze(actual_max_sequence, [0])
342 actual_max_score = array_ops.squeeze(actual_max_score, [0])
/external/tensorflow/tensorflow/python/kernel_tests/
Dshape_ops_test.py279 np_ans = np.squeeze(x, axis=tuple(squeeze_dims))
280 tensor = array_ops.squeeze(x, squeeze_dims)
283 np_ans = np.squeeze(x)
284 tensor = array_ops.squeeze(x)
346 tensor = array_ops.squeeze(np.zeros([1, 1, 1]), [])
356 tensor = array_ops.squeeze([[[False]]], [])
369 self.assertRaises(ValueError, array_ops.squeeze, input_1x1x3, [2])
375 self.assertRaises(ValueError, array_ops.squeeze,
377 self.assertRaises(ValueError, array_ops.squeeze,
379 self.assertRaises(ValueError, array_ops.squeeze,
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/external/tensorflow/tensorflow/python/ops/
Dconfusion_matrix.py71 predictions = array_ops.squeeze(predictions, [-1])
73 labels = array_ops.squeeze(labels, [-1])
82 lambda: array_ops.squeeze(predictions, [-1]),
88 lambda: array_ops.squeeze(labels, [-1]),
/external/tensorflow/tensorflow/lite/kernels/
Dsqueeze.cc26 namespace squeeze { namespace
91 static TfLiteRegistration r = {nullptr, nullptr, squeeze::Prepare, in Register_SQUEEZE()
92 squeeze::Eval}; in Register_SQUEEZE()
/external/tensorflow/tensorflow/contrib/solvers/python/ops/
Dleast_squares.py110 x=array_ops.squeeze(state.x),
111 r=array_ops.squeeze(state.r),
112 p=array_ops.squeeze(state.p),
Dlinear_equations.py127 x=array_ops.squeeze(state.x),
128 r=array_ops.squeeze(state.r),
129 p=array_ops.squeeze(state.p),
/external/tensorflow/tensorflow/tools/compatibility/testdata/
Dtest_file_v0_11.py124 self.assertAllEqual(tf.expand_dims(tf.squeeze(a, [0]), 0).eval(),
126 self.assertAllEqual(tf.squeeze(tf.expand_dims(a, 1), [1]).eval(),
129 tf.expand_dims(tf.squeeze([[1, 2, 3]], axis=[0]), dim=0).eval(), a)
131 tf.squeeze(tf.expand_dims([[1, 2, 3]], dim=1), axis=[1]).eval(), a)
134 tf.squeeze(tf.expand_dims([[1, 2, 3]], dim=1), axis=[1]).eval(), a)
/external/tensorflow/tensorflow/contrib/crf/python/ops/
Dcrf.py95 array_ops.squeeze(inputs, [1]),
185 first_input = array_ops.squeeze(first_input, [1])
508 state = array_ops.squeeze(state, axis=[1]) # [B]
539 squeezed_potentials = array_ops.squeeze(potentials, [1])
555 initial_state = array_ops.squeeze(initial_state, axis=[1]) # [B, O]
583 decode_tags = array_ops.squeeze(decode_tags, axis=[2]) # [B, T - 1]
/external/tensorflow/tensorflow/contrib/framework/python/framework/
Dtensor_util.py111 labels = array_ops.squeeze(labels, [-1])
113 predictions = array_ops.squeeze(predictions, [-1])
122 lambda: array_ops.squeeze(predictions, [-1]),
128 lambda: array_ops.squeeze(labels, [-1]),
/external/tensorflow/tensorflow/contrib/distribute/python/
Dminimize_loss_test.py87 error = abs(numpy.add(numpy.squeeze(weights), numpy.squeeze(biases)) - 1)
121 error = abs(numpy.add(numpy.squeeze(weights), numpy.squeeze(biases)) - 1)
337 weight = numpy.squeeze(self.evaluate(v))
466 numpy.add(numpy.squeeze(weights), numpy.squeeze(biases)) - 1)
Dstep_fn_test.py63 error = abs(numpy.add(numpy.squeeze(weights), numpy.squeeze(biases)) - 1)
Doptimizer_v2_test.py65 error = abs(numpy.add(numpy.squeeze(weights), numpy.squeeze(biases)) - 1)
/external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/
Dkalman_filter.py168 advanced_state = array_ops.squeeze(
251 posterior_state = prior_state + array_ops.squeeze(
329 observed_mean = array_ops.squeeze(
/external/tensorflow/tensorflow/contrib/tensor_forest/hybrid/python/ops/
Dtraining_ops.py115 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)
/external/tensorflow/tensorflow/contrib/gan/python/features/python/
Dvirtual_batchnorm_test.py93 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(
/external/tensorflow/tensorflow/examples/wav_to_spectrogram/
Dwav_to_spectrogram.cc71 Output squeeze = Squeeze(root.WithOpName("squeeze"), expand_dims, in WavToSpectrogram() local
73 Output png_encoder = EncodePng(root.WithOpName("png_encoder"), squeeze); in WavToSpectrogram()
/external/tensorflow/tensorflow/c/
Dc_api_experimental_test.cc424 TFE_Op* squeeze = TFE_NewOp(eager_ctx_, "Squeeze", status_); in TEST_F() local
426 TFE_OpAddInput(squeeze, axis, status_); in TEST_F()
427 TFE_OpSetAttrType(squeeze, "T", TF_INT32); in TEST_F()
429 TFE_OpSetAttrIntList(squeeze, "squeeze_dims", boundaries.data(), in TEST_F()
433 squeeze, [this, &boundaries](TF_Operation* squeeze_graph_op) { in TEST_F()
446 TFE_DeleteOp(squeeze); in TEST_F()
/external/tensorflow/tensorflow/contrib/training/python/training/
Dsampling_ops.py110 tensor_list = [array_ops.squeeze(x, [0]) for x in batched]
247 val_list = [array_ops.squeeze(x, [0]) for x in batched[:-1]]
248 label = array_ops.squeeze(batched[-1], [0])
/external/tensorflow/tensorflow/python/keras/engine/
Dpartial_batch_padding_handler.py100 prediction = np.squeeze(prediction, axis=0)
109 predictions.append(np.squeeze(prediction))

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