| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | clip_ops_test.py | 40 outputs_1 = clip_ops.clip_by_value(inputs, 0.5, 3.5)
43 outputs_2 = clip_ops.clip_by_value(inputs, min_val, max_val)
59 ans = clip_ops.clip_by_value(x, -clip_value, clip_value)
81 ans = clip_ops.clip_by_value(x, clip_value_min, clip_value_max)
104 ans = clip_ops.clip_by_value(x, clip_value_min, clip_value_max)
127 ans = clip_ops.clip_by_value(x, clip_value_min, clip_value_max)
151 ans = clip_ops.clip_by_value(x, clip_value_min, clip_value_max)
162 _ = clip_ops.clip_by_value(x, -clip, clip)
164 _ = clip_ops.clip_by_value(x, 1.0, clip)
172 ans = clip_ops.clip_by_value(x, -clip_value, clip_value)
[all …]
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| /external/tensorflow/tensorflow/python/ops/ |
| D | histogram_ops.py | 98 clip_ops.clip_by_value(indices, 0, nbins_float - 1), dtypes.int32)
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| D | random_grad.py | 180 cdf_sample = clip_ops.clip_by_value(cdf_sample, tiny, 1 - eps)
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| D | clip_ops.py | 38 def clip_by_value(t, clip_value_min, clip_value_max, function
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| /external/tensorflow/tensorflow/python/keras/optimizer_v2/ |
| D | utils.py | 142 clipped_grads_and_vars = [(clip_ops.clip_by_value(g, -clipvalue,
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| D | optimizer_v2_test.py | 257 constraint_01 = lambda x: clip_ops.clip_by_value(x, -0.1, 0.)
258 constraint_0 = lambda x: clip_ops.clip_by_value(x, 0., 1.)
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_ResizeArea.pbtxt | 37 `tf.clip_by_value` to the output.
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| /external/tensorflow/tensorflow/python/training/ |
| D | optimizer_test.py | 253 constraint_01 = lambda x: clip_ops.clip_by_value(x, -0.1, 0.)
254 constraint_0 = lambda x: clip_ops.clip_by_value(x, 0., 1.)
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| /external/tensorflow/tensorflow/lite/experimental/examples/lstm/ |
| D | rnn_cell.py | 498 c = clip_ops.clip_by_value(c, -self._cell_clip, self._cell_clip)
511 m = clip_ops.clip_by_value(m, -self._proj_clip, self._proj_clip)
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| /external/tensorflow/tensorflow/python/ops/parallel_for/ |
| D | math_test.py | 170 math_ops.round(clip_ops.clip_by_value(y, 1, 10)), x * x + 1)
410 return clip_ops.clip_by_value(a, 0.5, 1.0)
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| D | pfor.py | 2630 return wrap(gen_math_ops.clip_by_value(t, clip_value_min, clip_value_max),
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| /external/tensorflow/tensorflow/python/keras/layers/legacy_rnn/ |
| D | rnn_cell_impl.py | 1070 c = clip_ops.clip_by_value(c, -self._cell_clip, self._cell_clip)
1082 m = clip_ops.clip_by_value(m, -self._proj_clip, self._proj_clip)
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| /external/tensorflow/tensorflow/lite/g3doc/models/super_resolution/ |
| D | overview.ipynb | 230 "sr = tf.clip_by_value(sr, 0, 255)\n",
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| /external/tensorflow/tensorflow/python/keras/ |
| D | backend.py | 2699 return clip_ops.clip_by_value(x, min_value, max_value)
4825 x = clip_ops.clip_by_value(x, zero, max_value)
4979 output = clip_ops.clip_by_value(output, epsilon_, 1. - epsilon_)
5031 output = clip_ops.clip_by_value(output, epsilon_, 1 - epsilon_)
5120 output = clip_ops.clip_by_value(output, epsilon_, 1. - epsilon_)
5163 x = clip_ops.clip_by_value(x, 0., 1.)
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| D | optimizer_v1.py | 110 clip_ops.clip_by_value(g, -self.clipvalue, self.clipvalue)
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| /external/tensorflow/tensorflow/python/ops/ragged/ |
| D | ragged_tensor_supported_values_test.py | 233 {'op': clip_ops.clip_by_value,
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| D | ragged_dispatch_test.py | 98 {'op': clip_ops.clip_by_value,
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| D | ragged_dispatch.py | 294 clip_ops.clip_by_value,
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| /external/tensorflow/tensorflow/examples/speech_commands/ |
| D | input_data.py | 427 background_clamp = tf.clip_by_value(background_add, -1.0, 1.0)
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| /external/tensorflow/tensorflow/python/data/experimental/kernel_tests/optimization/ |
| D | map_vectorization_test.py | 154 math_ops.round(clip_ops.clip_by_value(y, 1, 10)), x * x + 1)
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| /external/llvm-project/llvm/lib/Analysis/models/inliner/ |
| D | saved_model.pbtxt | 17923 name: "clip_by_value/Minimum/y"
17952 original_node_names: "clip_by_value/Minimum/y"
17956 name: "clip_by_value/Minimum"
17959 input: "clip_by_value/Minimum/y:output:0"
17979 original_node_names: "clip_by_value/Minimum"
17983 name: "clip_by_value/y"
18012 original_node_names: "clip_by_value/y"
18016 name: "clip_by_value"
18018 input: "clip_by_value/Minimum:z:0"
18019 input: "clip_by_value/y:output:0"
[all …]
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| /external/tensorflow/tensorflow/python/ops/numpy_ops/ |
| D | np_math_ops.py | 214 return clip_ops.clip_by_value(*np_utils.tf_broadcast(a, a_min, a_max))
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| D | np_array_ops.py | 923 indices = clip_ops.clip_by_value(indices, 0, axis_size - 1)
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| /external/tensorflow/tensorflow/tools/api/golden/v2/ |
| D | tensorflow.pbtxt | 552 name: "clip_by_value"
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.pbtxt | 992 name: "clip_by_value"
|