/external/tensorflow/tensorflow/python/ops/ragged/ |
D | ragged_reduce_op_test.py | 132 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,
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D | ragged_dispatch.py | 409 math_ops.reduce_any, 524 (math_ops.reduce_any, ragged_math_ops.reduce_any, ['input_tensor']),
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D | ragged_math_ops.py | 646 def reduce_any(input_tensor, axis=None, keepdims=None, name=None): function 677 _set_ragged_reduce_docstring(reduce_any, 'logical or', 'or-ed', 'False',
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D | ragged_dispatch_test.py | 593 op=math_ops.reduce_any,
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/external/tensorflow/tensorflow/python/ops/distributions/ |
D | kullback_leibler.py | 117 math_ops.reduce_any(math_ops.is_nan(kl_t))),
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/external/tensorflow/tensorflow/lite/testing/op_tests/ |
D | reduce.py | 276 return make_reduce_tests(tf.reduce_any, boolean_tensor_only=True)(options)
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/external/tensorflow/tensorflow/python/ops/linalg/sparse/ |
D | conjugate_gradient.py | 86 math_ops.reduce_any(linalg.norm(state.r, axis=-1) > tol))
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/external/tensorflow/tensorflow/core/api_def/python_api/ |
D | api_def_LogicalOr.pbtxt | 55 The reduction version of this elementwise operation is `tf.math.reduce_any`.
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/external/tensorflow/tensorflow/python/ops/numpy_ops/ |
D | np_utils.py | 647 def reduce_any(input_tensor, axis=None, keepdims=False): function 651 return math_ops.reduce_any(input_tensor, axis=axis, keepdims=keepdims)
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D | np_array_ops.py | 384 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,
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/external/tensorflow/tensorflow/tools/compatibility/testdata/ |
D | test_file_v0_11.py | 48 tf.reduce_any(
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/external/tensorflow/tensorflow/python/ops/parallel_for/ |
D | xla_control_flow_ops_test.py | 133 return math_ops.reduce_any(pfor_config.reduce_concat(args[0]))
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D | math_test.py | 369 for op in [math_ops.reduce_any, math_ops.reduce_all]:
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D | pfor.py | 579 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)
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/external/tensorflow/tensorflow/compiler/tests/ |
D | reduce_ops_test.py | 172 self._testReduction(math_ops.reduce_any, np.any, np.bool, self.BOOL_DATA,
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/external/tensorflow/tensorflow/python/kernel_tests/ |
D | reduction_ops_test.py | 111 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],
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/external/llvm-project/mlir/test/Dialect/Tosa/ |
D | ops.mlir | 318 // CHECK-LABEL: reduce_any 320 %0 = "tosa.reduce_any"(%arg0) {axis = 0 : i64} : (tensor<13x21x3xi1>) -> tensor<1x21x3xi1>
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/external/tensorflow/tensorflow/python/ops/ |
D | image_ops_impl.py | 4417 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(
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/external/tensorflow/tensorflow/python/tpu/ |
D | tensor_tracer.py | 767 mask = math_ops.reduce_any( 1330 step_has_nan_or_inf = math_ops.reduce_any(
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/external/tensorflow/tensorflow/python/eager/ |
D | def_function.py | 446 any_initialized = math_ops.reduce_any(components).numpy()
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/external/llvm-project/mlir/include/mlir/Dialect/Tosa/IR/ |
D | TosaOps.td | 1097 // Operator: reduce_any 1099 def Tosa_ReduceAnyOp : Tosa_Op<"reduce_any", [NoSideEffect]> {
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/external/tensorflow/tensorflow/compiler/mlir/tosa/tests/ |
D | tfl-to-tosa-pipeline.mlir | 196 // CHECK: tosa.reduce_any 200 …%0 = "tfl.reduce_any"(%arg0, %cst) {keep_dims = false} : (tensor<13x21x3xi1>, tensor<1xi32>) -> …
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/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.math.pbtxt | 340 name: "reduce_any"
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.math.pbtxt | 340 name: "reduce_any"
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/external/tensorflow/tensorflow/python/keras/layers/ |
D | recurrent_v2.py | 1704 return math_ops.reduce_any(
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