/frameworks/ml/nn/runtime/test/specs/V1_3/ |
D | strided_slice_quant8_signed.mod.py | 20 ends = Parameter("ends", "TENSOR_INT32", "{2}", [2, 2]) variable 28 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM… 45 ends = Parameter("ends", "TENSOR_INT32", "{2}", [1, 3]) variable 53 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM… 70 ends = Parameter("ends", "TENSOR_INT32", "{1}", [3]) variable 78 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM… 95 ends = Parameter("ends", "TENSOR_INT32", "{1}", [3]) variable 103 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM… 120 ends = Parameter("ends", "TENSOR_INT32", "{1}", [3]) variable 128 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM… [all …]
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/frameworks/base/core/tests/coretests/src/android/text/ |
D | DynamicLayoutBlocksTest.java | 48 private void defineInitialState(int[] ends, int[] indices) { in defineInitialState() argument 49 initialBlockEnds = ends; in defineInitialState() 87 int[] ends = new int[sizes.length]; in assertState() local 88 for (int i = 0; i < ends.length; i++) { in assertState() 89 ends[i] = i == 0 ? (sizes[0] == 0 ? 0 : sizes[0] - 1) : ends[i - 1] + sizes[i]; in assertState() 93 assertEquals(ends[i], dl.getBlockEndLines()[i]); in assertState()
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/frameworks/ml/nn/tools/systrace_parser/parser/ |
D | aggregate.py | 74 ends = [] 77 ends = ends + tracker_map[pid].get_ld_pe_ends(app_phase) 78 assert len(begins) == len(ends) 80 ends.sort() 82 t0 += (ends[i] - begins[i])
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/frameworks/ml/nn/runtime/test/specs/V1_1/ |
D | strided_slice_qaunt8_11.mod.py | 4 ends = Parameter("ends", "TENSOR_INT32", "{2}", [1, 3]) variable 12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
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D | strided_slice_quant8_9.mod.py | 4 ends = Parameter("ends", "TENSOR_INT32", "{2}", [2, 2]) variable 12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
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D | strided_slice_quant8_1.mod.py | 4 ends = Parameter("ends", "TENSOR_INT32", "{1}", [3]) variable 12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
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D | strided_slice_quant8_8.mod.py | 4 ends = Parameter("ends", "TENSOR_INT32", "{2}", [2, -4]) variable 12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
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D | strided_slice_quant8_6.mod.py | 4 ends = Parameter("ends", "TENSOR_INT32", "{1}", [3]) variable 12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
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D | strided_slice_float_1.mod.py | 4 ends = Parameter("ends", "TENSOR_INT32", "{1}", [3]) variable 12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
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D | strided_slice_float_10.mod.py | 4 ends = Parameter("ends", "TENSOR_INT32", "{2}", [2, 2]) variable 12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
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D | strided_slice_float_3.mod.py | 4 ends = Parameter("ends", "TENSOR_INT32", "{1}", [3]) variable 12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
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D | strided_slice_quant8_2.mod.py | 4 ends = Parameter("ends", "TENSOR_INT32", "{1}", [3]) variable 12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
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D | strided_slice_float_4.mod.py | 4 ends = Parameter("ends", "TENSOR_INT32", "{1}", [-2]) variable 12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
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D | strided_slice_float_9.mod.py | 4 ends = Parameter("ends", "TENSOR_INT32", "{2}", [2, 2]) variable 12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
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D | strided_slice_float_5.mod.py | 4 ends = Parameter("ends", "TENSOR_INT32", "{1}", [3]) variable 12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
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D | strided_slice_quant8_3.mod.py | 4 ends = Parameter("ends", "TENSOR_INT32", "{1}", [3]) variable 12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
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D | strided_slice_float_8.mod.py | 4 ends = Parameter("ends", "TENSOR_INT32", "{2}", [2, -4]) variable 12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
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D | strided_slice_quant8_5.mod.py | 4 ends = Parameter("ends", "TENSOR_INT32", "{1}", [3]) variable 12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
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D | strided_slice_quant8_7.mod.py | 4 ends = Parameter("ends", "TENSOR_INT32", "{1}", [-4]) variable 12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
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D | strided_slice_float_6.mod.py | 4 ends = Parameter("ends", "TENSOR_INT32", "{1}", [3]) variable 12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
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D | strided_slice.mod.py | 4 ends = Parameter("ends", "TENSOR_INT32", "{2}", [2, 3]) variable 12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
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D | strided_slice_float_2.mod.py | 4 ends = Parameter("ends", "TENSOR_INT32", "{1}", [3]) variable 12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
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D | strided_slice_qaunt8_10.mod.py | 4 ends = Parameter("ends", "TENSOR_INT32", "{2}", [2, 2]) variable 12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
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D | strided_slice_float_11.mod.py | 4 ends = Parameter("ends", "TENSOR_INT32", "{2}", [1, 3]) variable 12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
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/frameworks/ml/nn/runtime/test/specs/V1_2/ |
D | strided_slice_float16.mod.py | 4 ends = Parameter("ends", "TENSOR_INT32", "{2}", [2, 3]) variable 12 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisM…
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