| /external/tensorflow/tensorflow/python/ops/ragged/ |
| D | ragged_util_test.py | 54 axis=0,
59 axis=0,
64 axis=1,
71 axis=0,
76 axis=0,
81 axis=1,
86 dict(data=3, repeats=4, axis=0, expected=[3, 3, 3, 3]),
87 dict(data=[3], repeats=4, axis=0, expected=[3, 3, 3, 3]),
88 dict(data=3, repeats=[4], axis=0, expected=[3, 3, 3, 3]),
89 dict(data=[3], repeats=[4], axis=0, expected=[3, 3, 3, 3]),
[all …]
|
| D | ragged_util.py | 43 def get_positive_axis(axis, ndims): argument
63 if not isinstance(axis, int):
64 raise TypeError("axis must be an int; got %s" % type(axis).__name__)
66 if 0 <= axis < ndims:
67 return axis
68 elif -ndims <= axis < 0:
69 return axis + ndims
72 "axis=%s out of bounds: expected %s<=axis<%s" % (axis, -ndims, ndims))
73 elif axis < 0:
75 return axis
[all …]
|
| D | ragged_reduce_op_test.py | 58 axis=0,
64 axis=-2,
70 axis=1,
76 axis=-1,
82 axis=0,
88 axis=1,
94 axis=0,
100 axis=1,
106 axis=0,
112 axis=1,
[all …]
|
| D | ragged_tensor_shape.py | 112 for axis, dimension_size in enumerate(partitioned_dim_sizes):
115 'rank of partitioned_dim_sizes[%d] is unknown' % axis)
174 def dimension_size(self, axis): argument
176 if not isinstance(axis, int):
179 if axis < partitioned_ndims:
180 return self._partitioned_dim_sizes[axis]
182 return self._inner_dim_sizes[axis - partitioned_ndims]
184 def is_ragged(self, axis): argument
186 if not isinstance(axis, int):
189 if axis < 0:
[all …]
|
| D | ragged_stack_op_test.py | 40 axis=0,
46 axis=1,
55 axis=2,
63 axis=-3,
69 axis=-2,
78 axis=-1,
87 axis=0,
95 axis=1,
105 axis=2,
114 axis=-3,
[all …]
|
| D | ragged_math_ops.py | 224 axis=0)
402 axis, argument
441 return reduce_op(rt_input, axis, name=name)
446 if isinstance(axis, ops.Tensor):
447 axis = tensor_util.constant_value(axis)
448 if axis is None:
450 if isinstance(axis, np.ndarray):
451 axis = axis.tolist()
454 if axis is None:
457 with ops.name_scope(name, 'RaggedReduce', [rt_input, axis]):
[all …]
|
| D | ragged_row_lengths_op_test.py | 42 axis=2,
51 axis=0,
66 axis=0,
73 axis=0,
78 axis=1,
83 axis=2,
90 axis=0,
94 axis=-3,
98 axis=1,
102 axis=-2,
[all …]
|
| D | ragged_concat_op_test.py | 52 axis=1,
59 axis=0,
67 axis=1,
77 axis=-2,
85 axis=-1,
97 axis=0,
106 axis=1,
118 axis=0,
134 axis=1,
146 axis=2,
[all …]
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | scan_ops_test.py | 33 def numpy_reverse(x, axis): argument
35 if axis < 0:
36 axis = length + axis
39 slice(None, None, -1) if i == axis else slice(None) for i in range(length)
44 def handle_options(func, x, axis, exclusive, reverse): argument
47 if axis < 0:
48 axis = length + axis
51 x = numpy_reverse(x, axis)
54 ix_head = [slice(0, 1) if i == axis else slice(None) for i in range(length)]
56 slice(0, -1) if i == axis else slice(None) for i in range(length)
[all …]
|
| D | gather_op_test.py | 66 for axis in range(data.ndim):
70 gather_t = array_ops.gather(params, indices, axis=axis)
72 self.assertAllEqual(np.take(params_np, 2, axis=axis), gather_val)
73 expected_shape = data.shape[:axis] + data.shape[axis + 1:]
81 for axis in range(data.ndim):
86 gather_t = array_ops.gather(params, indices, axis=axis)
88 self.assertAllEqual(np.take(params_np, [0, 1, 0, 2], axis=axis),
90 expected_shape = data.shape[:axis] + (4,) + data.shape[axis + 1:]
99 for axis in range(len(shape)):
101 indices = np.random.randint(shape[axis], size=indices_shape)
[all …]
|
| D | reduce_join_op_test.py | 104 axis, argument
120 axis=axis,
128 def _testMultipleReduceJoin(self, input_array, axis, separator=" "): argument
142 inputs=input_array, axis=axis, keep_dims=False, separator=separator)
144 inputs=input_array, axis=axis, keep_dims=True, separator=separator)
147 for index in axis:
149 inputs=truth, axis=index, keep_dims=True, separator=separator)
150 if not axis:
152 truth_squeezed = array_ops.squeeze(truth, axis=axis)
166 self._testReduceJoin(input_array, truth, truth_shape, axis=0)
[all …]
|
| /external/tensorflow/tensorflow/compiler/tests/ |
| D | scan_ops_test.py | 32 def numpy_reverse(x, axis): argument
34 if axis < 0:
35 axis = length + axis
38 slice(None, None, -1) if i == axis else slice(None) for i in range(length)
43 def handle_options(func, x, axis, exclusive, reverse): argument
46 if axis < 0:
47 axis = length + axis
50 x = numpy_reverse(x, axis)
53 ix_head = [slice(0, 1) if i == axis else slice(None) for i in range(length)]
55 slice(0, -1) if i == axis else slice(None) for i in range(length)
[all …]
|
| D | gather_test.py | 62 for axis in 0, 1, -1:
66 gather_t = array_ops.gather(params, indices, axis=axis)
69 np.take(params_np, 2, axis=axis), dtype)
77 for axis in 0, 1, -1:
82 gather_t = array_ops.gather(params, indices, axis=axis)
85 np.take(params_np, [0, 1, 0, 2], axis=axis), dtype)
98 for axis in 0, 1, -1:
102 gather_t = array_ops.gather(params, indices, axis=axis)
109 np.take(params_np, [0, 1, 0, 2], axis=axis), dtype)
117 for axis in 0, 1, 2, 3, -1, -2:
[all …]
|
| /external/tensorflow/tensorflow/python/ops/ |
| D | sort_ops.py | 37 def sort(values, axis=-1, direction='ASCENDING', name=None): argument
56 return _sort_or_argsort(values, axis, direction, return_argsort=False)
60 def argsort(values, axis=-1, direction='ASCENDING', stable=False, name=None): argument
89 return _sort_or_argsort(values, axis, direction, return_argsort=True)
92 def _sort_or_argsort(values, axis, direction, return_argsort): argument
112 axis = framework_ops.convert_to_tensor(axis, name='axis')
113 axis_static = tensor_util.constant_value(axis)
114 if axis.shape.ndims != 0 or axis_static is None:
123 def _descending_sort(values, axis, return_argsort=False): argument
135 k = array_ops.shape(values)[axis]
[all …]
|
| D | linalg_ops.py | 429 axis=None, argument
491 axis=axis,
502 axis=None, argument
569 is_matrix_norm = ((isinstance(axis, tuple) or isinstance(axis, list)) and
570 len(axis) == 2)
572 axis = tuple(axis)
573 if (not isinstance(axis[0], int) or not isinstance(axis[1], int) or
574 axis[0] == axis[1]):
582 if not (isinstance(axis, int) or axis is None):
589 if axis is not None:
[all …]
|
| /external/fonttools/Tests/ttLib/tables/ |
| D | _f_v_a_r_test.py | 54 axis = Axis()
55 axis.axisTag = tag
56 axis.defaultValue = defaultValue
57 axis.minValue, axis.maxValue = minValue, maxValue
58 axis.axisNameID = AddName(font, name).nameID
59 fvarTable.axes.append(axis)
112 axis = Axis()
113 axis.axisTag, axis.axisNameID = ('opsz', 345)
114 axis.minValue, axis.defaultValue, axis.maxValue = (-0.5, 1.3, 1.5)
115 self.assertEqual(FVAR_AXIS_DATA, axis.compile())
[all …]
|
| /external/freetype/src/autofit/ |
| D | afhints.c | 38 af_axis_hints_new_segment( AF_AxisHints axis, in af_axis_hints_new_segment() argument
46 if ( axis->num_segments < AF_SEGMENTS_EMBEDDED ) in af_axis_hints_new_segment()
48 if ( !axis->segments ) in af_axis_hints_new_segment()
50 axis->segments = axis->embedded.segments; in af_axis_hints_new_segment()
51 axis->max_segments = AF_SEGMENTS_EMBEDDED; in af_axis_hints_new_segment()
54 else if ( axis->num_segments >= axis->max_segments ) in af_axis_hints_new_segment()
56 FT_Int old_max = axis->max_segments; in af_axis_hints_new_segment()
71 if ( axis->segments == axis->embedded.segments ) in af_axis_hints_new_segment()
73 if ( FT_NEW_ARRAY( axis->segments, new_max ) ) in af_axis_hints_new_segment()
75 ft_memcpy( axis->segments, axis->embedded.segments, in af_axis_hints_new_segment()
[all …]
|
| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| D | sample_stats.py | 45 axis=-1, argument
121 if axis < 0:
122 axis = rank + axis
123 shift = rank - 1 - axis
130 x_rotated -= math_ops.reduce_mean(x_rotated, axis=-1, keepdims=True)
149 x_rotated_pad = util.pad(x_rotated, axis=-1, back=True, count=pad_length)
221 axis=None, argument
317 if axis is None:
320 axis = ops.convert_to_tensor(axis, name="axis")
321 check_ops.assert_integer(axis)
[all …]
|
| /external/fonttools/Lib/fontTools/varLib/ |
| D | models.py | 122 for axis,(lower,peak,upper) in support.items():
131 v = location.get(axis, 0.)
133 assert axis in location
134 v = location[axis]
227 axis = next(iter(loc))
228 value = loc[axis]
229 if axis not in axisPoints:
230 axisPoints[axis] = {0.}
231 assert value not in axisPoints[axis], (
232 'Value "%s" in axisPoints["%s"] --> %s' % (value, axis, axisPoints)
[all …]
|
| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
| D | sample_stats_test.py | 53 x_ph, axis=1, center=False, normalize=False)
71 x_ph, axis=1, normalize=False, center=True)
80 self, x, axis, max_lags, center, normalize): argument
83 axis_len = x.shape[axis]
90 x -= x.mean(axis=axis, keepdims=True)
93 np.take(x, indices=range(0, axis_len - m), axis=axis) *
94 np.conj(np.take(x, indices=range(m, axis_len), axis=axis))
95 ).mean(axis=axis, keepdims=True))
96 rxx = np.concatenate(auto_corr_at_lag, axis=axis)
98 rxx /= np.take(rxx, [0], axis=axis)
[all …]
|
| /external/harfbuzz_ng/src/ |
| D | hb-ot-var-fvar-table.hh | 120 const AxisRecord &axis = get_axes ()[axis_index]; in get_axis_deprecated() local
121 info->tag = axis.axisTag; in get_axis_deprecated()
122 info->name_id = axis.axisNameID; in get_axis_deprecated()
123 info->default_value = axis.defaultValue / 65536.; in get_axis_deprecated()
125 info->min_value = MIN<float> (info->default_value, axis.minValue / 65536.); in get_axis_deprecated()
126 info->max_value = MAX<float> (info->default_value, axis.maxValue / 65536.); in get_axis_deprecated()
132 const AxisRecord &axis = get_axes ()[axis_index]; in get_axis_info() local
134 info->tag = axis.axisTag; in get_axis_info()
135 info->name_id = axis.axisNameID; in get_axis_info()
136 info->flags = (hb_ot_var_axis_flags_t) (unsigned int) axis.flags; in get_axis_info()
[all …]
|
| /external/tensorflow/tensorflow/lite/kernels/ |
| D | expand_dims.cc | 34 int axis, TfLiteTensor* output) { in ExpandTensorDim() argument
36 if (axis < 0) { in ExpandTensorDim()
37 axis = input_dims.size + 1 + axis; in ExpandTensorDim()
39 TF_LITE_ENSURE(context, axis <= input_dims.size); in ExpandTensorDim()
43 if (i < axis) { in ExpandTensorDim()
45 } else if (i == axis) { in ExpandTensorDim()
56 const TfLiteTensor& axis, int* axis_value) { in GetAxisValueFromTensor() argument
57 TF_LITE_ENSURE_EQ(context, NumElements(&axis), 1); in GetAxisValueFromTensor()
58 switch (axis.type) { in GetAxisValueFromTensor()
60 *axis_value = *GetTensorData<int32_t>(&axis); in GetAxisValueFromTensor()
[all …]
|
| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| D | scan_ops.cc | 59 int64 axis; in Compile() local
60 OP_REQUIRES_OK(ctx, ctx->ConstantInputAsIntScalar(1, &axis)); in Compile()
61 if (axis < 0) { in Compile()
62 axis += input_shape.dims(); in Compile()
65 ctx, FastBoundsCheck(axis, input_shape.dims()), in Compile()
68 "), but got ", axis)); in Compile()
82 window_dims[axis] = input_shape.dim_size(axis); in Compile()
85 padding[axis].first = input_shape.dim_size(axis) - 1; in Compile()
89 ++padding[axis].first; in Compile()
92 std::swap(padding[axis].first, padding[axis].second); in Compile()
[all …]
|
| /external/tensorflow/tensorflow/python/keras/ |
| D | constraints.py | 64 def __init__(self, max_value=2, axis=0): argument
66 self.axis = axis
70 math_ops.reduce_sum(math_ops.square(w), axis=self.axis, keepdims=True))
75 return {'max_value': self.max_value, 'axis': self.axis}
105 def __init__(self, axis=0): argument
106 self.axis = axis
112 math_ops.square(w), axis=self.axis, keepdims=True)))
115 return {'axis': self.axis}
148 def __init__(self, min_value=0.0, max_value=1.0, rate=1.0, axis=0): argument
152 self.axis = axis
[all …]
|
| /external/fonttools/Lib/fontTools/ttLib/tables/ |
| D | _a_v_a_r.py | 38 axisTags = [axis.axisTag for axis in ttFont["fvar"].axes]
46 for axis in axisTags:
47 mappings = sorted(self.segments[axis].items())
56 axisTags = [axis.axisTag for axis in ttFont["fvar"].axes]
64 for axis in axisTags:
65 segments = self.segments[axis] = {}
74 axisTags = [axis.axisTag for axis in ttFont["fvar"].axes]
75 for axis in axisTags:
76 writer.begintag("segment", axis=axis)
78 for key, value in sorted(self.segments[axis].items()):
[all …]
|