/external/tensorflow/tensorflow/python/ops/ |
D | initializers_ns.py | 33 orthogonal = init_ops.orthogonal_initializer variable
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/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.initializers.orthogonal.pbtxt | 1 path: "tensorflow.initializers.orthogonal"
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D | tensorflow.keras.initializers.orthogonal.pbtxt | 1 path: "tensorflow.keras.initializers.orthogonal"
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D | tensorflow.initializers.pbtxt | 72 name: "orthogonal"
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D | tensorflow.keras.initializers.pbtxt | 72 name: "orthogonal"
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D | tensorflow.keras.layers.-l-s-t-m-cell.pbtxt | 90 … defaults=[\'tanh\', \'hard_sigmoid\', \'True\', \'glorot_uniform\', \'orthogonal\', \'zeros\', \'…
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D | tensorflow.keras.layers.-g-r-u-cell.pbtxt | 90 … defaults=[\'tanh\', \'hard_sigmoid\', \'True\', \'glorot_uniform\', \'orthogonal\', \'zeros\', \'…
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.keras.initializers.orthogonal.pbtxt | 1 path: "tensorflow.keras.initializers.orthogonal"
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D | tensorflow.initializers.orthogonal.pbtxt | 1 path: "tensorflow.initializers.orthogonal"
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D | tensorflow.initializers.pbtxt | 24 name: "orthogonal"
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D | tensorflow.keras.initializers.pbtxt | 68 name: "orthogonal"
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D | tensorflow.keras.layers.-g-r-u-cell.pbtxt | 90 … defaults=[\'tanh\', \'hard_sigmoid\', \'True\', \'glorot_uniform\', \'orthogonal\', \'zeros\', \'…
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D | tensorflow.keras.layers.-simple-r-n-n-cell.pbtxt | 90 …, keywords=kwargs, defaults=[\'tanh\', \'True\', \'glorot_uniform\', \'orthogonal\', \'zeros\', \'…
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D | tensorflow.keras.layers.-l-s-t-m-cell.pbtxt | 90 … defaults=[\'tanh\', \'hard_sigmoid\', \'True\', \'glorot_uniform\', \'orthogonal\', \'zeros\', \'…
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D | tensorflow.keras.layers.-cu-d-n-n-g-r-u.pbtxt | 99 …ful\'], varargs=None, keywords=kwargs, defaults=[\'glorot_uniform\', \'orthogonal\', \'zeros\', \'…
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/external/llvm/test/tools/llvm-dwp/X86/ |
D | compress.test | 11 Since the compression is pretty orthogonal, we're not trying to test that the
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/external/swiftshader/third_party/llvm-7.0/llvm/test/tools/llvm-dwp/X86/ |
D | compress.test | 11 Since the compression is pretty orthogonal, we're not trying to test that the
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/external/eigen/unsupported/Eigen/ |
D | NumericalDiff | 35 * using such software, and the purpose is quite orthogonal to what we
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/external/tensorflow/tensorflow/core/api_def/base_api/ |
D | api_def_NonMaxSuppression.pbtxt | 45 algorithm is invariant to orthogonal transformations and translations
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D | api_def_NonMaxSuppressionV2.pbtxt | 45 algorithm is invariant to orthogonal transformations and translations
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D | api_def_NonMaxSuppressionV3.pbtxt | 53 generally is invariant to orthogonal transformations and translations
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D | api_def_NonMaxSuppressionV4.pbtxt | 67 generally is invariant to orthogonal transformations and translations
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D | api_def_MatrixSolveLs.pbtxt | 63 orthogonal decomposition is used. This computes the minimum-norm
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D | api_def_CombinedNonMaxSuppression.pbtxt | 95 this algorithm is invariant to orthogonal transformations and translations
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/external/tensorflow/tensorflow/python/keras/ |
D | initializers.py | 150 orthogonal = Orthogonal variable
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