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/external/tensorflow/tensorflow/core/api_def/base_api/
Dapi_def_Cumprod.pbtxt21 If `True`, perform exclusive cumprod.
32 By default, this op performs an inclusive cumprod, which means that the first
36 tf.cumprod([a, b, c]) # => [a, a * b, a * b * c]
39 By setting the `exclusive` kwarg to `True`, an exclusive cumprod is
43 tf.cumprod([a, b, c], exclusive=True) # => [1, a, a * b]
46 By setting the `reverse` kwarg to `True`, the cumprod is performed in the
50 tf.cumprod([a, b, c], reverse=True) # => [a * b * c, b * c, c]
58 tf.cumprod([a, b, c], exclusive=True, reverse=True) # => [b * c, c, 1]
/external/tensorflow/tensorflow/compiler/tests/
Dscan_ops_test.py59 elif func == np.cumprod:
158 np_out = handle_options(np.cumprod, x, axis, exclusive, reverse)
161 prod = math_ops.cumprod(p, axis, exclusive, reverse)
184 math_ops.cumprod(x, axis).eval(feed_dict={p: x})
217 math_ops.cumprod(input_tensor, -3).eval()
221 math_ops.cumprod(input_tensor, 2).eval()
225 math_ops.cumprod(input_tensor, [0]).eval()
/external/tensorflow/tensorflow/python/kernel_tests/
Dscan_ops_test.py60 elif func == np.cumprod:
205 np_out = handle_options(np.cumprod, x, axis, exclusive, reverse)
207 tf_out = math_ops.cumprod(x, axis, exclusive, reverse).eval()
230 tf_out = math_ops.cumprod(x, axis).eval()
267 math_ops.cumprod(input_tensor, -3).eval()
271 math_ops.cumprod(input_tensor, 2).eval()
275 math_ops.cumprod(input_tensor, [0]).eval()
281 result = math_ops.cumprod(t, axis, exclusive, reverse)
/external/eigen/unsupported/test/
Dcxx11_tensor_scan.cpp39 result = tensor.cumprod(0, Exclusive); in test_1d_scan()
/external/tensorflow/tensorflow/python/ops/ragged/
Dragged_array_ops.py217 split_size = math_ops.cumprod(mask_shape) + 1
Dragged_tensor.py1136 dim_size = math_ops.cumprod(input_shape)
/external/tensorflow/tensorflow/python/ops/parallel_for/
Dmath_test.py323 return math_ops.cumprod(
Dpfor.py2001 @RegisterPForWithArgs("Cumprod", math_ops.cumprod)
/external/tensorflow/tensorflow/python/ops/
Dmath_grad.py176 left = math_ops.cumprod(reshaped, axis=0, exclusive=True)
177 right = math_ops.cumprod(reshaped, axis=0, exclusive=True, reverse=True)
1368 prod = math_ops.cumprod(x, axis, exclusive=exclusive, reverse=reverse)
Dmath_ops.py3070 def cumprod(x, axis=0, exclusive=False, reverse=False, name=None): function
3117 return gen_math_ops.cumprod(
/external/tensorflow/tensorflow/tools/api/golden/v2/
Dtensorflow.math.pbtxt108 name: "cumprod"
Dtensorflow.keras.backend.pbtxt128 name: "cumprod"
/external/tensorflow/tensorflow/tools/api/golden/v1/
Dtensorflow.math.pbtxt108 name: "cumprod"
Dtensorflow.keras.backend.pbtxt128 name: "cumprod"
Dtensorflow.pbtxt1036 name: "cumprod"
/external/tensorflow/tensorflow/contrib/seq2seq/python/kernel_tests/
Dattention_wrapper_test.py518 cumprod_output = math_ops.cumprod(
/external/tensorflow/tensorflow/python/keras/
Dbackend.py1713 def cumprod(x, axis=0): function
1723 return math_ops.cumprod(x, axis=axis)
/external/eigen/unsupported/Eigen/CXX11/src/Tensor/
DTensorBase.h512 cumprod(const Index& axis, bool exclusive = false) const {
DREADME.md1204 ### <Operation> cumprod(const Index& axis)
/external/tensorflow/tensorflow/contrib/seq2seq/python/ops/
Dattention_wrapper.py1252 attention = p_choose_i*math_ops.cumprod(
/external/tensorflow/
DRELEASE.md50 * Improve performance of GPU cumsum/cumprod by up to 300x.