/external/tensorflow/tensorflow/python/training/ |
D | ftrl.py | 171 math_ops.cast(self._learning_rate_tensor, var.dtype.base_dtype), 173 var.dtype.base_dtype), 175 var.dtype.base_dtype), 176 math_ops.cast(self._learning_rate_power_tensor, var.dtype.base_dtype), 184 math_ops.cast(self._learning_rate_tensor, var.dtype.base_dtype), 186 var.dtype.base_dtype), 188 var.dtype.base_dtype), 190 var.dtype.base_dtype), 191 math_ops.cast(self._learning_rate_power_tensor, var.dtype.base_dtype), 203 math_ops.cast(self._learning_rate_tensor, var.dtype.base_dtype), [all …]
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D | rmsprop.py | 123 init_rms = init_ops.ones_initializer(dtype=v.dtype.base_dtype) 127 v.dtype.base_dtype, "rms", 154 math_ops.cast(self._learning_rate_tensor, var.dtype.base_dtype), 155 math_ops.cast(self._decay_tensor, var.dtype.base_dtype), 156 math_ops.cast(self._momentum_tensor, var.dtype.base_dtype), 157 math_ops.cast(self._epsilon_tensor, var.dtype.base_dtype), 165 math_ops.cast(self._learning_rate_tensor, var.dtype.base_dtype), 166 math_ops.cast(self._decay_tensor, var.dtype.base_dtype), 167 math_ops.cast(self._momentum_tensor, var.dtype.base_dtype), 168 math_ops.cast(self._epsilon_tensor, var.dtype.base_dtype), [all …]
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D | adam.py | 160 math_ops.cast(beta1_power, var.dtype.base_dtype), 161 math_ops.cast(beta2_power, var.dtype.base_dtype), 162 math_ops.cast(self._lr_t, var.dtype.base_dtype), 163 math_ops.cast(self._beta1_t, var.dtype.base_dtype), 164 math_ops.cast(self._beta2_t, var.dtype.base_dtype), 165 math_ops.cast(self._epsilon_t, var.dtype.base_dtype), 177 math_ops.cast(beta1_power, grad.dtype.base_dtype), 178 math_ops.cast(beta2_power, grad.dtype.base_dtype), 179 math_ops.cast(self._lr_t, grad.dtype.base_dtype), 180 math_ops.cast(self._beta1_t, grad.dtype.base_dtype), [all …]
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D | adagrad_da.py | 94 0.0, shape=v.get_shape(), dtype=v.dtype.base_dtype) 98 dtype=v.dtype.base_dtype) 121 math_ops.cast(self._learning_rate_tensor, var.dtype.base_dtype), 122 math_ops.cast(self._l1_regularization_strength, var.dtype.base_dtype), 123 math_ops.cast(self._l2_regularization_strength, var.dtype.base_dtype), 137 math_ops.cast(self._learning_rate_tensor, grad.dtype.base_dtype), 138 math_ops.cast(self._l1_regularization_strength, grad.dtype.base_dtype), 139 math_ops.cast(self._l2_regularization_strength, grad.dtype.base_dtype), 154 math_ops.cast(self._learning_rate_tensor, var.dtype.base_dtype), 155 math_ops.cast(self._l1_regularization_strength, var.dtype.base_dtype), [all …]
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D | adadelta.py | 90 math_ops.cast(self._lr_t, var.dtype.base_dtype), 91 math_ops.cast(self._rho_t, var.dtype.base_dtype), 92 math_ops.cast(self._epsilon_t, var.dtype.base_dtype), 103 math_ops.cast(self._lr_t, grad.dtype.base_dtype), 104 math_ops.cast(self._rho_t, grad.dtype.base_dtype), 105 math_ops.cast(self._epsilon_t, grad.dtype.base_dtype), 116 math_ops.cast(self._lr_t, var.dtype.base_dtype), 117 math_ops.cast(self._rho_t, var.dtype.base_dtype), 118 math_ops.cast(self._epsilon_t, var.dtype.base_dtype),
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D | momentum.py | 104 math_ops.cast(self._learning_rate_tensor, var.dtype.base_dtype), 106 math_ops.cast(self._momentum_tensor, var.dtype.base_dtype), 114 math_ops.cast(self._learning_rate_tensor, grad.dtype.base_dtype), 116 math_ops.cast(self._momentum_tensor, grad.dtype.base_dtype), 124 math_ops.cast(self._learning_rate_tensor, var.dtype.base_dtype), 126 math_ops.cast(self._momentum_tensor, var.dtype.base_dtype),
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D | slot_creator_test.py | 48 self.assertEqual(dtypes.float32, slot.dtype.base_dtype) 61 self.assertEqual(dtypes.float32, slot.dtype.base_dtype) 76 self.assertEqual(dtypes.float64, slot.dtype.base_dtype) 98 self.assertEqual(dtypes.float64, slot.dtype.base_dtype) 112 self.assertEqual(dtypes.float32, slot.dtype.base_dtype) 128 self.assertEqual(dtypes.float64, slot.dtype.base_dtype) 156 self.assertEqual(dtypes.float32, slot.dtype.base_dtype) 177 self.assertEqual(dtypes.float32, slot.dtype.base_dtype)
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D | adagrad.py | 74 dtype = v.dtype.base_dtype 102 math_ops.cast(self._learning_rate_tensor, var.dtype.base_dtype), 111 math_ops.cast(self._learning_rate_tensor, grad.dtype.base_dtype), 120 math_ops.cast(self._learning_rate_tensor, var.dtype.base_dtype),
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D | gradient_descent.py | 58 math_ops.cast(self._learning_rate_tensor, var.dtype.base_dtype), 65 grad.dtype.base_dtype), 75 math_ops.cast(self._learning_rate_tensor, var.dtype.base_dtype),
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/external/tensorflow/tensorflow/python/keras/optimizer_v2/ |
D | legacy_learning_rate_decay.py | 159 if b.dtype.base_dtype != x_recomp.dtype.base_dtype: 163 if (b.dtype.base_dtype == dtypes.int32 and 164 x_recomp.dtype.base_dtype == dtypes.int64): 165 b = math_ops.cast(b, x_recomp.dtype.base_dtype) 170 (b.dtype.base_dtype, x_recomp.dtype.base_dtype)) 172 if v.dtype.base_dtype != values[0].dtype.base_dtype: 175 (values[0].dtype.base_dtype, v.dtype.base_dtype))
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D | adagrad.py | 81 dtype = var.dtype.base_dtype 128 var_device, var_dtype = var.device, var.dtype.base_dtype 142 var_device, var_dtype = var.device, var.dtype.base_dtype
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D | gradient_descent.py | 133 var_device, var_dtype = var.device, var.dtype.base_dtype 160 var_device, var_dtype = var.device, var.dtype.base_dtype 171 var_device, var_dtype = var.device, var.dtype.base_dtype
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D | ftrl.py | 133 dtype = var.dtype.base_dtype 154 var_device, var_dtype = var.device, var.dtype.base_dtype 192 var_device, var_dtype = var.device, var.dtype.base_dtype
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D | nadam.py | 91 var_dtype = var_list[0].dtype.base_dtype 151 var_device, var_dtype = var.device, var.dtype.base_dtype 174 var_device, var_dtype = var.device, var.dtype.base_dtype
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D | adadelta.py | 118 var_device, var_dtype = var.device, var.dtype.base_dtype 135 var_device, var_dtype = var.device, var.dtype.base_dtype
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/external/tensorflow/tensorflow/python/ops/distributions/ |
D | categorical.py | 36 def _broadcast_cat_event_and_params(event, params, base_dtype): argument 46 "`self.dtype` ({})".format(base_dtype)) 291 k, self.probs, base_dtype=self.dtype.base_dtype) 312 k, self.logits, base_dtype=self.dtype.base_dtype)
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/external/tensorflow/tensorflow/python/ops/ |
D | sets_impl.py | 56 if a.values.dtype.base_dtype not in _VALID_DTYPES: 84 if a.dtype.base_dtype not in _VALID_DTYPES: 87 if b.dtype.base_dtype != a.dtype.base_dtype:
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D | math_ops.py | 477 dtype = y.dtype.base_dtype if tensor_util.is_tf_type(y) else None 612 scalar, dtype=x.dtype.base_dtype, name="scalar") 941 base_type = dtypes.as_dtype(dtype).base_dtype 958 if x.dtype.base_dtype != base_type: 986 dtype = dtypes.as_dtype(dtype).base_dtype 1168 dtype = tensors[0].dtype.base_dtype 1225 y = ops.convert_to_tensor(y, dtype=sp_x.dtype.base_dtype, name="y") 1284 x_dtype = sp_values.dtype.base_dtype 1285 y_dtype = y.dtype.base_dtype 1303 y = ops.convert_to_tensor(y, dtype_hint=x.dtype.base_dtype, name="y") [all …]
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D | partitioned_variables.py | 132 if dtype.base_dtype == dtypes.string: 205 if dtype.base_dtype == dtypes.string:
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D | lookup_ops.py | 101 if key_dtype.base_dtype != table.key_dtype: 104 if value_dtype.base_dtype != table.value_dtype: 229 if keys.dtype.base_dtype != self._key_dtype: 924 if dtypes.string == tensor.dtype.base_dtype: 1112 if keys.dtype.base_dtype != self._key_dtype: 1119 if self._table and (self._table.key_dtype.base_dtype == dtypes.int64): 1310 if keys.dtype.base_dtype != self._key_dtype: 1317 if self._table and (self._table.key_dtype.base_dtype == dtypes.int64): 1446 if (not key_dtype.is_integer) and (dtypes.string != key_dtype.base_dtype): 1538 if (not dtype.is_integer) and (dtypes.string != dtype.base_dtype): [all …]
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/external/tensorflow/tensorflow/python/ops/linalg/ |
D | linear_operator_util.py | 111 dtype_base = base_dtype(dtype) 112 value_dtype_base = base_dtype(value.dtype) 121 def base_dtype(dtype): function 125 return dtype.base_dtype 141 if arg.dtype.base_dtype != dtype: 193 dtype = x.dtype.base_dtype 212 dtype = x.dtype.base_dtype
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/external/tensorflow/tensorflow/python/tpu/ |
D | bfloat16_test.py | 77 self.assertEqual(v1.dtype.base_dtype, dtypes.float32) 79 self.assertEqual(v2.dtype.base_dtype, dtypes.bfloat16) 81 [v.dtype.base_dtype for v in scope.global_variables()])
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/external/tensorflow/tensorflow/python/eager/ |
D | backprop_util.py | 31 if dtype.base_dtype == dtypes.variant: 59 return dtype.base_dtype in (dtypes.float16, dtypes.float32, dtypes.float64,
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/external/tensorflow/tensorflow/python/keras/layers/ops/ |
D | core.py | 45 if inputs.dtype.base_dtype != dtype.base_dtype:
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/external/tensorflow/tensorflow/python/framework/ |
D | dtypes.py | 85 def base_dtype(self): member in DType 95 base = self.base_dtype 117 self.base_dtype in (bool, string, complex64, complex128)): 128 if self.base_dtype == bfloat16: 141 self.base_dtype in (bool, string, complex64, complex128)): 152 if self.base_dtype == bfloat16: 190 other.base_dtype.as_datatype_enum)
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