Home
last modified time | relevance | path

Searched refs:output_data (Results 1 – 25 of 32) sorted by relevance

12

/frameworks/ml/nn/runtime/test/specs/V1_2/
Dgather.mod.py17 def test(input0, axis, indices, output0, input_data, output_data): argument
37 output0: output_data,
47 output_data=[0.7, 0.8,
58 output_data=[0.7, 0.8],
67 output_data=[2],
76 output_data=[2, 1],
86 output_data=[-2.0, 0.2,
98 output_data=[0.2, 0.8],
108 output_data=[4, 5, 6,
119 output_data=[3, 1,
Dgreater.mod.py16 def test(name, input0, input1, output0, input0_data, input1_data, output_data, do_variations=True): argument
21 output0: output_data,
33 output_data=[False, False, True],
43 output_data=[False, False, False, True],
53 output_data=[False, False, True],
64 output_data=[False, False, True],
75 output_data=[True],
86 output_data=[False],
97 output_data=[False, True, False, False],
Dless.mod.py16 def test(name, input0, input1, output0, input0_data, input1_data, output_data, do_variations=True): argument
21 output0: output_data,
33 output_data=[True, False, False],
43 output_data=[True, False, False, False],
53 output_data=[True, False, False],
64 output_data=[True, False, False],
75 output_data=[False],
86 output_data=[True],
97 output_data=[False, False, True, False],
Dnot_equal.mod.py16 def test(name, input0, input1, output0, input0_data, input1_data, output_data, do_variations=True): argument
21 output0: output_data,
33 output_data=[True, False, True],
43 output_data=[True, False, False, True],
53 output_data=[True, False, True],
64 output_data=[True, False, True],
75 output_data=[True],
86 output_data=[True],
97 output_data=[False, True, True, False],
Dgreater_equal.mod.py16 def test(name, input0, input1, output0, input0_data, input1_data, output_data, do_variations=True): argument
21 output0: output_data,
33 output_data=[False, True, True],
43 output_data=[False, True, True, True],
53 output_data=[False, True, True],
64 output_data=[False, True, True],
75 output_data=[True],
86 output_data=[False],
97 output_data=[True, True, False, True],
Dequal.mod.py16 def test(name, input0, input1, output0, input0_data, input1_data, output_data, do_variations=True): argument
21 output0: output_data,
33 output_data=[False, True, False],
43 output_data=[False, True, True, False],
53 output_data=[False, True, False],
64 output_data=[False, True, False],
75 output_data=[False],
86 output_data=[False],
97 output_data=[True, False, False, True],
Dless_equal.mod.py16 def test(name, input0, input1, output0, input0_data, input1_data, output_data, do_variations=True): argument
21 output0: output_data,
33 output_data=[True, True, False],
43 output_data=[True, True, True, False],
53 output_data=[True, True, False],
64 output_data=[True, True, False],
75 output_data=[False],
86 output_data=[True],
97 output_data=[True, False, True, True],
Dlog_softmax.mod.py19 def test(input0, output0, input_data, beta, axis, output_data): argument
23 output0: output_data,
33 output_data=[-4.14297, -10.14297, -2.14297, -.142971,
46 output_data=[-.00247565, -6.00247,
59 output_data=[-.00247565, -2.12692, -.00671534, -.000123374,
70 output_data=[-4.14297, -10.14297, -2.14297, -.142971,
Dreduce_prod.mod.py17 def test(input0, output0, axes, keep_dims, input_data, output_data): argument
21 output0: output_data,
32 output_data=[-1 * -2, 3 * 4, 5 * -6],
43 output_data=[9.527],
54 output_data=[3.16234143225e+4, 1.9619905536e+4],
65 output_data=[7.74592e+2, 1.197504e+3, 6.6889152e+2],
Dreduce_sum.mod.py17 def test(input0, output0, axes, keep_dims, input_data, output_data): argument
21 output0: output_data,
32 output_data=[-1 - 2, 3 + 4, 5 - 6],
43 output_data=[9.527],
54 output_data=[14.4, 15.6],
65 output_data=[8.4, 10.0, 11.6],
Dreduce_max.mod.py17 def test(input0, output0, axes, keep_dims, input_data, output_data): argument
25 output0: output_data,
36 output_data=[-1, 4, 5],
47 output_data=[9.527],
58 output_data=[2.3, 2.4],
69 output_data=[2.0, 2.2, 2.4],
Dreduce_min.mod.py17 def test(input0, output0, axes, keep_dims, input_data, output_data): argument
25 output0: output_data,
36 output_data=[-2, 3, -6],
47 output_data=[9.527],
58 output_data=[0.1, 0.2],
69 output_data=[0.1, 0.3, 0.5],
Dslice.mod.py32 output_data=[2, 3]),
41 output_data=[4, 5]),
50 output_data=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]),
59 output_data=[2, 3, 4]),
68 output_data=[3, 3, 3]),
77 output_data=[3, 3, 3, 5, 5, 5]),
86 output_data=[3, 3, 3, 5, 5, 5]),
95 output_data=[3, 3, 3, 5, 5, 5]),
105 test_case.output: test_case.output_data,
Dunidirectional_sequence_rnn.mod.py21 recurrent_weights_data, bias_data, hidden_state_data, output_data): argument
33 output: output_data
113 output_data = [ variable
159 output_data=output_data)
182 output_data=convert_to_time_major(output_data, num_batches, max_time,
Dreduce_all.mod.py17 def test(input0, output0, axes, keep_dims, input_data, output_data): argument
21 output0: output_data,
30 output_data=[False],
40 output_data=[True, False],
50 output_data=[True, False, True],
Dreduce_any.mod.py17 def test(input0, output0, axes, keep_dims, input_data, output_data): argument
21 output0: output_data,
32 output_data=[False],
42 output_data=[False, True],
52 output_data=[True, False, True],
Dselect_v1_2.mod.py16 def test(name, input0, input1, input2, output0, input0_data, input1_data, input2_data, output_data): argument
27 output0: output_data,
39 output_data=[1, 5, 3],
51 output_data=[5, 2, 7, 4],
63 output_data=[1, 10, 3, 12, 5, 14, 7, 16],
Dlogical_or.mod.py17 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
22 output0: output_data,
32 output_data=[True, False, True, True],
42 output_data=[True, False, False, True],
Dlogical_and.mod.py17 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
22 output0: output_data,
32 output_data=[True, False, False, False],
42 output_data=[True, False, False, True],
Dminimum.mod.py17 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
29 output0: output_data,
40 output_data=[-1.0, 0.0, -1.0, 11.0, -3.0, -1.44],
50 output_data=[0.5, 0.0, -1.0, -2.0, -1.44, 2.0],
Dmaximum.mod.py17 def test(name, input0, input1, output0, input0_data, input1_data, output_data): argument
29 output0: output_data,
40 output_data=[1.0, 0.0, 1.0, 12.0, -2.0, -1.43],
50 output_data=[1.0, 2.0, 0.5, 2.0, 0.5, 11.0],
Dneg.mod.py22 output_data = [-x for x in input_data] variable
26 output0: output_data,
Dabs.mod.py22 output_data = [abs(x) for x in input_data] variable
26 output0: output_data,
Dsin.mod.py22 output_data = [math.sin(x) for x in input_data] variable
26 output0: output_data,
/frameworks/opt/gamesdk/third_party/protobuf-3.0.0/src/google/protobuf/compiler/
Dsubprocess.cc158 string output_data; in Communicate() local
215 output_data.append(buffer, n); in Communicate()
252 if (!output->ParseFromString(output_data)) { in Communicate()
253 *error = "Plugin output is unparseable: " + CEscape(output_data); in Communicate()
361 string output_data;
410 output_data.append(buffer, n);
453 if (!output->ParseFromString(output_data)) {
454 *error = "Plugin output is unparseable: " + CEscape(output_data);

12