| /external/tensorflow/tensorflow/python/eager/ |
| D | forwardprop.py | 168 for primal, tangent in zip(inputs, tangents):
169 if not tangent.shape.is_compatible_with([None] + primal.shape):
172 tangent, [None] + primal.shape, tangent.shape))
357 for primal in nest.flatten(primals):
358 if id(primal) in primal_ids:
363 primal_ids.add(id(primal))
402 def _watch(primal, tangent): argument
403 if not primal.dtype.is_floating:
406 "floating (e.g. tf.float32), got %r", 5, primal.dtype)
407 tangent = ops.convert_to_tensor(tangent, dtype=primal.dtype)
[all …]
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| D | forwardprop_test.py | 71 tangent_mask = [array_ops.zeros_like(primal) for primal in flat_primals]
72 for primal_index, primal in enumerate(flat_primals):
73 primal_vector = array_ops.reshape(primal, [-1])
79 array_ops.shape(primal))
86 tangent_mask[primal_index] = array_ops.zeros_like(primal)
90 def _jvp_batch(f, primal, tangents): argument
94 functools.partial(_jvp, tf_function, primal), tangents)
410 primal, tangent = _jvp(math_ops.sin, (constant_op.constant(0.1),),
412 self.assertAllClose(math_ops.sin(0.1), primal)
532 def _compute_forwardgrad(primal): argument
[all …]
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| D | function_gradients_test.py | 133 def _grad_function(primal): argument
135 tape.watch(primal)
136 primal_out = f(primal)
137 return tape.gradient(primal_out, primal)
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| D | backprop_test.py | 1766 def _grad_function(primal): argument
1768 tape.watch(primal)
1769 primal_out = f(primal)
1770 return tape.batch_jacobian(primal_out, primal)
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| /external/tensorflow/tensorflow/python/keras/integration_test/ |
| D | forwardprop_test.py | 39 tangent_mask = [tf.zeros_like(primal) for primal in flat_primals]
40 for primal_index, primal in enumerate(flat_primals):
41 primal_vector = tf.reshape(primal, [-1])
46 tangent_mask[primal_index] = tf.reshape(mask, tf.shape(primal))
53 tangent_mask[primal_index] = tf.zeros_like(primal)
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_SdcaOptimizerV2.pbtxt | 95 Type of the primal loss. Currently SdcaSolver supports logistic,
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| D | api_def_SdcaOptimizer.pbtxt | 94 Type of the primal loss. Currently SdcaSolver supports logistic,
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| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | while_v2_test.py | 181 def _GradFunction(primal): argument
183 tape.watch(primal)
184 primal_out = f(primal)
185 return tape.gradient(primal_out, primal)
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| D | cond_v2_test.py | 970 def _grad_function(primal): argument
972 tape.watch(primal)
973 primal_out = f(primal)
974 return tape.gradient(primal_out, primal)
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| /external/llvm-project/polly/lib/External/isl/doc/ |
| D | implementation.tex | 187 as that used by its incremental LP solver based on the \emph{primal}
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| /external/libtextclassifier/native/annotator/pod_ner/test_data/ |
| D | vocab.txt | 22290 primal
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| /external/kotlinx.coroutines/benchmarks/src/jmh/resources/ |
| D | words.shakespeare.txt.gz | 1a
2A
3Aaron
4AARON
5abaissiez
6abandon
7abandoned
8abase
9Abase
10 ... |
| D | ospd.txt.gz | |
| /external/tensorflow/ |
| D | RELEASE.md | 3893 * Added `tf.contrib.kernel_methods` module with Ops and estimators for primal
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| /external/jline/src/src/test/resources/jline/example/ |
| D | english.gz | |
| /external/one-true-awk/testdir/ |
| D | funstack.in | 23062 …d can be thought of as generalizations of optimality conditions based on primal-dual complementari…
|
| /external/cldr/tools/java/org/unicode/cldr/util/data/transforms/ |
| D | en-IPA.txt | 19534 $x{primal → prɑɪməl ; # priməl prɪmæl
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| D | internal_raw_IPA-old.txt | 155579 primal %25852 prˈaɪməl, prˈạməl
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| D | internal_raw_IPA.txt | 130492 primal %34598 prˈaɪməl, prˈɑɪməl
|