/external/tensorflow/tensorflow/python/kernel_tests/ |
D | split_op_test.py | 70 num_or_size_splits=constant_op.constant(2), 227 tf_ans = array_ops.split(value=x, num_or_size_splits=num, axis=dim) 250 tf_ans = array_ops.split(value=x, num_or_size_splits=num, axis=dim) 298 value=inp, num_or_size_splits=num_split, axis=split_dim)) 320 s = array_ops.split(value=inp_tensor, num_or_size_splits=4, axis=1) 338 array_ops.split(value=[[0, 1], [2, 3]], num_or_size_splits=4, axis=2) 342 array_ops.split(value=[[0, 1], [2, 3]], num_or_size_splits=4, axis=-3) 346 array_ops.split(value=[0, 1, 2, 3], num_or_size_splits=3, axis=0) 351 num_or_size_splits=4, 359 num_or_size_splits=4,
|
D | metrics_test.py | 1858 value=prec, num_or_size_splits=2, axis=0) 1862 value=rec, num_or_size_splits=2, axis=0) 1889 value=prec, num_or_size_splits=2, axis=0) 1893 value=rec, num_or_size_splits=2, axis=0) 1918 value=prec, num_or_size_splits=2, axis=0) 1920 value=rec, num_or_size_splits=2, axis=0)
|
D | cwise_ops_test.py | 1217 real, imag = array_ops.split(value=inx, num_or_size_splits=2, axis=1) 1256 xr, xi, yr, yi = array_ops.split(value=inp, num_or_size_splits=4, axis=1)
|
/external/tensorflow/tensorflow/python/tpu/ |
D | tpu_feed.py | 71 num_or_size_splits = [ceil_ratio] * num_full_slots + [left_over] 72 if len(num_or_size_splits) < dim: 73 num_or_size_splits += [0] * (dim - len(num_or_size_splits)) 78 x, num_or_size_splits=num_or_size_splits, axis=axis))
|
/external/tensorflow/tensorflow/python/ops/ |
D | rnn_grad_test.py | 145 w_i, w_c, w_f, w_o = array_ops.split(w, num_or_size_splits=4, axis=1) 146 b_i, b_c, b_f, b_o = array_ops.split(b, num_or_size_splits=4)
|
D | array_ops.py | 2072 def split(value, num_or_size_splits, axis=0, num=None, name="split"): argument 2126 if isinstance(num_or_size_splits, 2129 axis=axis, num_split=num_or_size_splits, value=value, name=name) 2131 size_splits = ops.convert_to_tensor(num_or_size_splits) 2136 "to split. Argument provided: %s" % (num_or_size_splits,)) 2143 raise ValueError("Cannot infer num from shape %s" % num_or_size_splits)
|
D | image_ops_impl.py | 5053 value=boxes_a, num_or_size_splits=4, axis=2) 5055 value=boxes_b, num_or_size_splits=4, axis=2) 5479 value=boxes, num_or_size_splits=4, axis=2)
|
D | gradients_test.py | 86 split_wx = array_ops.split(value=wx, num_or_size_splits=2, axis=0)
|
/external/tensorflow/tensorflow/compiler/tests/ |
D | lstm.py | 73 value=xmw, num_or_size_splits=4, axis=1)
|
D | binary_ops_test.py | 1419 lambda x, y: array_ops.split(value=y, num_or_size_splits=3, axis=x), 1432 lambda x, y: array_ops.split(value=y, num_or_size_splits=2, axis=x), 1443 return array_ops.split(value=y, num_or_size_splits=[2, 3], axis=x)
|
/external/tensorflow/tensorflow/python/keras/premade/ |
D | wide_deep_test.py | 100 l1, l2 = array_ops.split(l, num_or_size_splits=2, axis=1) 104 h1, h2 = array_ops.split(h, num_or_size_splits=2, axis=1)
|
/external/tensorflow/tensorflow/python/eager/ |
D | pywrap_tfe_test.py | 262 array_ops.split(value=[1, 2, 3], num_or_size_splits=-1) 267 array_ops.split(value=[1, 2, 3], num_or_size_splits=0)
|
D | backprop_test.py | 1362 x1, _ = array_ops.split(x, num_or_size_splits=2, axis=1)
|
/external/tensorflow/tensorflow/python/keras/layers/legacy_rnn/ |
D | rnn_cell_impl.py | 606 r, u = array_ops.split(value=value, num_or_size_splits=2, axis=1) 785 c, h = array_ops.split(value=state, num_or_size_splits=2, axis=one) 793 value=gate_inputs, num_or_size_splits=4, axis=one) 1057 value=lstm_matrix, num_or_size_splits=4, axis=1)
|
/external/tensorflow/tensorflow/python/distribute/ |
D | tpu_strategy.py | 1586 num_or_size_splits=self.num_replicas_in_sync, 1599 num_or_size_splits=self.num_replicas_in_sync,
|
/external/tensorflow/tensorflow/lite/python/ |
D | util_test.py | 109 value=in_tensor, num_or_size_splits=[1, 1, 1, 1], axis=0)
|
/external/tensorflow/tensorflow/python/keras/layers/ |
D | recurrent.py | 2438 self.kernel, num_or_size_splits=4, axis=1) 2445 self.bias, num_or_size_splits=4, axis=0) 2472 z = array_ops.split(z, num_or_size_splits=4, axis=1)
|
/external/tensorflow/tensorflow/python/ops/linalg/ |
D | linalg_impl.py | 1178 array_ops.shape(lower_upper)[-2:], num_or_size_splits=2)
|
/external/tensorflow/tensorflow/python/grappler/ |
D | auto_mixed_precision_test.py | 668 x1, x2, x3 = array_ops.split(x, num_or_size_splits=3, axis=3)
|
/external/tensorflow/tensorflow/python/keras/engine/ |
D | training.py | 2821 num_or_size_splits=all_shapes,
|
/external/tensorflow/tensorflow/tools/api/golden/v2/ |
D | tensorflow.pbtxt | 1037 …argspec: "args=[\'value\', \'num_or_size_splits\', \'axis\', \'num\', \'name\'], varargs=None, key…
|
/external/tensorflow/tensorflow/python/framework/ |
D | function_test.py | 1522 value=math_ops.matmul(xm, weights), num_or_size_splits=4, axis=1)
|
/external/tensorflow/tensorflow/python/keras/ |
D | backend.py | 3299 num_or_size_splits=x_shape[axis],
|
/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.pbtxt | 2261 …argspec: "args=[\'value\', \'num_or_size_splits\', \'axis\', \'num\', \'name\'], varargs=None, key…
|
/external/tensorflow/ |
D | RELEASE.md | 4148 `tf.split(value, num_or_size_splits, axis)`.
|