Searched refs:reduce_max (Results 1 – 25 of 59) sorted by relevance
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/external/tensorflow/tensorflow/contrib/quantize/python/ |
D | quant_ops.py | 140 batch_max = math_ops.reduce_max( 145 batch_max = math_ops.reduce_max(inputs, name='BatchMax') 253 batch_max = math_ops.reduce_max( 258 batch_max = math_ops.reduce_max(inputs, name='BatchMax')
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/external/tensorflow/tensorflow/contrib/bayesflow/python/ops/ |
D | halton_sequence_impl.py | 157 max_sizes_by_axes = _base_expansion_size(math_ops.reduce_max(indices), 160 max_size = math_ops.reduce_max(max_sizes_by_axes)
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D | monte_carlo_impl.py | 361 return math_ops.reduce_max(values, reduction_indices=[0])
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/external/tensorflow/tensorflow/tools/compatibility/testdata/ |
D | test_file_v0_11.py | 83 tf.reduce_max( 86 tf.reduce_max( 88 self.assertAllEqual(tf.reduce_max(a, [0, 1]).eval(), 6.0)
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/external/tensorflow/tensorflow/python/ops/ |
D | confusion_matrix.py | 170 num_classes = math_ops.maximum(math_ops.reduce_max(predictions), 171 math_ops.reduce_max(labels)) + 1
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D | linalg_ops.py | 559 result = math_ops.reduce_max(result, axis[-1], keepdims=True) 564 result = math_ops.reduce_max(result, max_axis, keepdims=True)
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/external/tensorflow/tensorflow/contrib/labeled_tensor/ |
D | __init__.py | 127 reduce_max = _ops.reduce_max variable
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/external/tensorflow/tensorflow/contrib/crf/python/ops/ |
D | crf.py | 394 new_state = inputs + math_ops.reduce_max(transition_scores, [1]) # [B, O] 467 best_score = math_ops.reduce_max(squeezed_potentials, axis=1) 510 best_score = math_ops.reduce_max(last_score, axis=1) # [B]
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/external/tensorflow/tensorflow/python/kernel_tests/ |
D | stage_op_test.py | 40 y = math_ops.reduce_max(math_ops.matmul(y, y)) 59 y = math_ops.reduce_max(z * math_ops.matmul(y, y)) 84 y = math_ops.reduce_max(z * math_ops.matmul(y, y))
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D | reduction_ops_test.py | 100 math_ops.reduce_prod, math_ops.reduce_max, 675 tf_ans = math_ops.reduce_max(x, reduction_axes, keepdims) 689 v = math_ops.reduce_max([0, 0], constant_op.constant(0, dtype=dtype)) 747 su = math_ops.reduce_max(t, [1, 2]) 757 su = math_ops.reduce_max(t, [1]) 767 su = math_ops.reduce_max(t, [2]) 777 su = math_ops.reduce_max(t) 785 y = math_ops.reduce_max(x, [1])
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D | map_stage_op_test.py | 43 y = math_ops.reduce_max(math_ops.matmul(y, y)) 64 y = math_ops.reduce_max(z * math_ops.matmul(y, y)) 91 y = math_ops.reduce_max(z * math_ops.matmul(y, y))
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/external/tensorflow/tensorflow/contrib/mpi_collectives/ |
D | mpi_ops_test.py | 96 max_difference = tf.reduce_max(tf.abs(summed - multiplied)) 140 max_difference = tf.reduce_max(tf.abs(summed - multiplied))
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/external/tensorflow/tensorflow/python/layers/ |
D | maxout.py | 108 outputs = math_ops.reduce_max(
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D | convolutional_test.py | 297 b_constraint = lambda x: x / math_ops.reduce_max(x) 308 b_constraint = lambda x: x / math_ops.reduce_max(x) 319 b_constraint = lambda x: x / math_ops.reduce_max(x) 479 b_constraint = lambda x: x / math_ops.reduce_max(x) 723 b_constraint = lambda x: x / math_ops.reduce_max(x) 911 b_constraint = lambda x: x / math_ops.reduce_max(x) 1092 b_constraint = lambda x: x / math_ops.reduce_max(x)
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/external/tensorflow/tensorflow/contrib/kernel_methods/python/ |
D | losses.py | 133 loss = math_ops.reduce_max(margin, axis=1)
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/external/tensorflow/tensorflow/core/api_def/base_api/ |
D | api_def_SparseReduceMaxSparse.pbtxt | 37 `tf.reduce_max()`. In contrast to SparseReduceMax, this Op returns a
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D | api_def_SparseReduceMax.pbtxt | 43 `tf.reduce_max()`. In particular, this Op also returns a dense `Tensor`
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/external/tensorflow/tensorflow/contrib/losses/python/metric_learning/ |
D | metric_loss_ops.py | 136 masked_maximums = math_ops.reduce_max( 154 axis_maximums = math_ops.reduce_max(data, dim, keepdims=True) 452 row_negative_maximums = math_ops.reduce_max(
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/external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
D | math_utils.py | 63 maximum = math_ops.reduce_max(diagonal, axis=-1, keep_dims=True) 795 math_ops.reduce_max(times, axis=1) - math_ops.reduce_min(times, axis=1), 807 math_ops.reduce_max(times)))
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/external/tensorflow/tensorflow/python/ops/linalg/ |
D | linear_operator.py | 477 cond = (math_ops.reduce_max(singular_values, axis=-1) / 489 math_ops.reduce_max([
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/external/tensorflow/tensorflow/contrib/data/python/ops/ |
D | resampling.py | 162 max_ratio = math_ops.reduce_max(ratio_l)
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/external/tensorflow/tensorflow/contrib/layers/python/ops/ |
D | sparse_ops.py | 168 math_ops.reduce_max(row_index_indicators), shape=(1,),
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/external/tensorflow/tensorflow/examples/learn/ |
D | text_classification_cnn.py | 76 pool2 = tf.squeeze(tf.reduce_max(conv2, 1), squeeze_dims=[1])
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D | text_classification_character_cnn.py | 77 pool2 = tf.squeeze(tf.reduce_max(conv2, 1), squeeze_dims=[1])
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/external/tensorflow/tensorflow/contrib/gan/python/losses/python/ |
D | losses_impl.py | 816 list_max = math_ops.reduce_max([math_ops.reduce_max(math_ops.abs(x)) for x in
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