| /external/tensorflow/tensorflow/python/kernel_tests/distributions/ |
| D | normal_test.py | 116 self.evaluate(normal.batch_shape_tensor()), log_pdf.get_shape()) 118 self.evaluate(normal.batch_shape_tensor()), 125 self.evaluate(normal.batch_shape_tensor()), pdf.get_shape()) 127 self.evaluate(normal.batch_shape_tensor()), 152 self.evaluate(normal.batch_shape_tensor()), log_pdf.get_shape()) 154 self.evaluate(normal.batch_shape_tensor()), 163 self.evaluate(normal.batch_shape_tensor()), pdf.get_shape()) 165 self.evaluate(normal.batch_shape_tensor()), pdf_values.shape) 186 self.evaluate(normal.batch_shape_tensor()), cdf.get_shape()) 188 self.evaluate(normal.batch_shape_tensor()), [all …]
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| /external/tensorflow/tensorflow/python/ops/distributions/ |
| D | student_t.py | 252 shape = array_ops.concat([[n], self.batch_shape_tensor()], 0) 254 df = self.df * array_ops.ones(self.batch_shape_tensor(), dtype=self.dtype) 286 v = array_ops.ones(self.batch_shape_tensor(), 302 mean = self.loc * array_ops.ones(self.batch_shape_tensor(), 309 array_ops.ones(self.batch_shape_tensor(), dtype=self.dtype)), 310 mean, array_ops.fill(self.batch_shape_tensor(), nan, name="nan")) 337 var = (array_ops.ones(self.batch_shape_tensor(), dtype=self.dtype) * 342 self.df > array_ops.fill(self.batch_shape_tensor(), 2.), var, 343 array_ops.fill(self.batch_shape_tensor(), inf, name="inf")) 350 array_ops.ones(self.batch_shape_tensor(), dtype=self.dtype)), [all …]
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| D | uniform.py | 167 shape = array_ops.concat([[n], self.batch_shape_tensor()], 0) 175 self.batch_shape_tensor(), dtype=x.dtype) 186 array_ops.shape(x), self.batch_shape_tensor())
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| D | transformed_distribution.py | 362 self.distribution.batch_shape_tensor()) 549 self.distribution.batch_shape_tensor() 554 _ones_like(self.distribution.batch_shape_tensor()) 559 [self.batch_shape_tensor(), self.event_shape_tensor()],
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| /external/tensorflow/tensorflow/python/ops/linalg/ |
| D | linear_operator_identity.py | 91 [self.batch_shape_tensor(), 357 special_shape = array_ops.concat((self.batch_shape_tensor(), [1, 1]), 0) 370 return array_ops.ones(shape=self.batch_shape_tensor(), dtype=self.dtype) 373 return array_ops.zeros(shape=self.batch_shape_tensor(), dtype=self.dtype) 384 shape=self.batch_shape_tensor(), dtype=self.dtype) 415 return array_ops.ones(self.batch_shape_tensor(), dtype=self.dtype) 734 shape=self.batch_shape_tensor(), dtype=self.dtype)
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| D | linear_operator_householder.py | 224 …return -array_ops.ones(shape=self.batch_shape_tensor(), dtype=self.dtype) # pylint: disable=inval… 228 return array_ops.zeros(shape=self.batch_shape_tensor(), dtype=self.dtype) 263 return array_ops.ones(self.batch_shape_tensor(), dtype=self.dtype)
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| D | linear_operator_zeros.py | 303 special_shape = array_ops.concat((self.batch_shape_tensor(), [1, 1]), 0) 337 return array_ops.zeros(shape=self.batch_shape_tensor(), dtype=self.dtype) 344 return array_ops.zeros(shape=self.batch_shape_tensor(), dtype=self.dtype) 464 [self.batch_shape_tensor(),
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| D | slicing.py | 128 param_batch_shape = param.batch_shape_tensor() 172 batch_shape = linop.batch_shape_tensor()
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| D | linear_operator_permutation.py | 237 return array_ops.zeros(shape=self.batch_shape_tensor(), dtype=self.dtype) 258 return array_ops.ones(self.batch_shape_tensor(), dtype=self.dtype)
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| D | linear_operator_composition.py | 229 zeros = array_ops.zeros(shape=self.operators[0].batch_shape_tensor()) 231 zeros += array_ops.zeros(shape=operator.batch_shape_tensor())
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| /external/tensorflow/tensorflow/python/kernel_tests/linalg/ |
| D | slicing_test.py | 197 sliced.batch_shape_tensor()) 207 self.assertAllEqual(linop[0, ...].batch_shape_tensor(), [3, 5, 2]) 209 0, ..., array_ops.newaxis].batch_shape_tensor(), [3, 5, 2, 1]) 211 ..., array_ops.newaxis].batch_shape_tensor(), [4, 3, 5, 2, 1])
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| /external/tensorflow/tensorflow/python/ops/linalg/sparse/ |
| D | conjugate_gradient.py | 109 operator.batch_shape_tensor()) 113 preconditioner.batch_shape_tensor()
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.distributions.-distribution.pbtxt | 43 name: "batch_shape_tensor" 44 …spec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
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| D | tensorflow.distributions.-laplace.pbtxt | 52 name: "batch_shape_tensor" 53 …spec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
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| D | tensorflow.distributions.-multinomial.pbtxt | 56 name: "batch_shape_tensor" 57 …spec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
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| D | tensorflow.distributions.-dirichlet.pbtxt | 52 name: "batch_shape_tensor" 53 …spec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
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| D | tensorflow.distributions.-gamma.pbtxt | 52 name: "batch_shape_tensor" 53 …spec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
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| D | tensorflow.distributions.-bernoulli.pbtxt | 52 name: "batch_shape_tensor" 53 …spec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
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| D | tensorflow.distributions.-dirichlet-multinomial.pbtxt | 56 name: "batch_shape_tensor" 57 …spec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
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| D | tensorflow.distributions.-beta.pbtxt | 56 name: "batch_shape_tensor" 57 …spec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
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| D | tensorflow.distributions.-uniform.pbtxt | 52 name: "batch_shape_tensor" 53 …spec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
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| D | tensorflow.distributions.-normal.pbtxt | 52 name: "batch_shape_tensor" 53 …spec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
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| D | tensorflow.distributions.-student-t.pbtxt | 56 name: "batch_shape_tensor" 57 …spec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
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| D | tensorflow.distributions.-exponential.pbtxt | 53 name: "batch_shape_tensor" 54 …spec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
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| D | tensorflow.distributions.-categorical.pbtxt | 56 name: "batch_shape_tensor" 57 …spec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'batch_shape_tensor\'], "
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