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/external/tensorflow/tensorflow/python/ops/ragged/
Dragged_reduce_op_test.py132 ragged_reduce_op=ragged_math_ops.reduce_any,
138 ragged_reduce_op=ragged_math_ops.reduce_any,
236 ragged_reduce_op=ragged_math_ops.reduce_any,
242 ragged_reduce_op=ragged_math_ops.reduce_any,
Dragged_dispatch.py409 math_ops.reduce_any,
524 (math_ops.reduce_any, ragged_math_ops.reduce_any, ['input_tensor']),
Dragged_math_ops.py646 def reduce_any(input_tensor, axis=None, keepdims=None, name=None): function
677 _set_ragged_reduce_docstring(reduce_any, 'logical or', 'or-ed', 'False',
Dragged_dispatch_test.py593 op=math_ops.reduce_any,
/external/tensorflow/tensorflow/python/ops/distributions/
Dkullback_leibler.py117 math_ops.reduce_any(math_ops.is_nan(kl_t))),
/external/tensorflow/tensorflow/lite/testing/op_tests/
Dreduce.py276 return make_reduce_tests(tf.reduce_any, boolean_tensor_only=True)(options)
/external/tensorflow/tensorflow/python/ops/linalg/sparse/
Dconjugate_gradient.py86 math_ops.reduce_any(linalg.norm(state.r, axis=-1) > tol))
/external/tensorflow/tensorflow/core/api_def/python_api/
Dapi_def_LogicalOr.pbtxt55 The reduction version of this elementwise operation is `tf.math.reduce_any`.
/external/tensorflow/tensorflow/python/ops/numpy_ops/
Dnp_utils.py647 def reduce_any(input_tensor, axis=None, keepdims=False): function
651 return math_ops.reduce_any(input_tensor, axis=axis, keepdims=keepdims)
Dnp_array_ops.py384 return math_ops.reduce_any(input_tensor=a, axis=axis, keepdims=keepdims)
571 tf_bool_fn=math_ops.reduce_any)
605 tf_bool_fn=math_ops.reduce_any,
/external/tensorflow/tensorflow/tools/compatibility/testdata/
Dtest_file_v0_11.py48 tf.reduce_any(
/external/tensorflow/tensorflow/python/ops/parallel_for/
Dxla_control_flow_ops_test.py133 return math_ops.reduce_any(pfor_config.reduce_concat(args[0]))
Dmath_test.py369 for op in [math_ops.reduce_any, math_ops.reduce_all]:
Dpfor.py579 not_all_done = math_ops.reduce_any(conditions)
2598 @RegisterPForWithArgs("Any", math_ops.reduce_any)
3620 math_ops.reduce_any(shape < 0),
4365 not_all_done = math_ops.reduce_any(conditions)
/external/tensorflow/tensorflow/compiler/tests/
Dreduce_ops_test.py172 self._testReduction(math_ops.reduce_any, np.any, np.bool, self.BOOL_DATA,
/external/tensorflow/tensorflow/python/kernel_tests/
Dreduction_ops_test.py111 math_ops.reduce_any))]:
127 (dtypes.bool, (math_ops.reduce_all, math_ops.reduce_any))
1037 tf_ans = math_ops.reduce_any(x, reduction_axes, keepdims)
1051 v = math_ops.reduce_any([True, True],
/external/llvm-project/mlir/test/Dialect/Tosa/
Dops.mlir318 // CHECK-LABEL: reduce_any
320 %0 = "tosa.reduce_any"(%arg0) {axis = 0 : i64} : (tensor<13x21x3xi1>) -> tensor<1x21x3xi1>
/external/tensorflow/tensorflow/python/ops/
Dimage_ops_impl.py4417 need_padding = math_ops.reduce_any(math_ops.not_equal(remainder, 0))
5115 math_ops.reduce_any(iou_sum - iou_sum_new > iou_threshold), iou_sum_new,
5212 math_ops.reduce_any(box_slice > 0, [2]), dtypes.int32), [1])
5535 math_ops.cast(math_ops.reduce_any(
/external/tensorflow/tensorflow/python/tpu/
Dtensor_tracer.py767 mask = math_ops.reduce_any(
1330 step_has_nan_or_inf = math_ops.reduce_any(
/external/tensorflow/tensorflow/python/eager/
Ddef_function.py446 any_initialized = math_ops.reduce_any(components).numpy()
/external/llvm-project/mlir/include/mlir/Dialect/Tosa/IR/
DTosaOps.td1097 // Operator: reduce_any
1099 def Tosa_ReduceAnyOp : Tosa_Op<"reduce_any", [NoSideEffect]> {
/external/tensorflow/tensorflow/compiler/mlir/tosa/tests/
Dtfl-to-tosa-pipeline.mlir196 // CHECK: tosa.reduce_any
200 …%0 = "tfl.reduce_any"(%arg0, %cst) {keep_dims = false} : (tensor<13x21x3xi1>, tensor<1xi32>) -> …
/external/tensorflow/tensorflow/tools/api/golden/v2/
Dtensorflow.math.pbtxt340 name: "reduce_any"
/external/tensorflow/tensorflow/tools/api/golden/v1/
Dtensorflow.math.pbtxt340 name: "reduce_any"
/external/tensorflow/tensorflow/python/keras/layers/
Drecurrent_v2.py1704 return math_ops.reduce_any(

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