| /frameworks/ml/nn/runtime/test/specs/V1_2/ |
| D | layer_norm_lstm.mod.py | 24 n_cell = 4 variable
30 "{%d, %d}" % (n_cell, n_input))
32 "{%d, %d}" % (n_cell, n_input))
34 "{%d, %d}" % (n_cell, n_input))
36 "{%d, %d}" % (n_cell, n_input))
40 "{%d, %d}" % (n_cell, n_output))
43 "{%d, %d}" % (n_cell, n_output))
45 "{%d, %d}" % (n_cell, n_output))
48 "{%d, %d}" % (n_cell, n_output))
51 "{%d}" % (n_cell))
[all …]
|
| D | bidirectional_sequence_lstm_float16_batch_major_merge_outputs.mod.py | 23 n_cell = 4 variable
30 "fw_input_to_input_weights", "TENSOR_FLOAT16", "{{{}, {}}}".format(n_cell, n_input))
32 "fw_input_to_forget_weights", "TENSOR_FLOAT16", "{{{}, {}}}".format(n_cell, n_input))
34 "fw_input_to_cell_weights", "TENSOR_FLOAT16", "{{{}, {}}}".format(n_cell, n_input))
36 "fw_input_to_output_weights", "TENSOR_FLOAT16", "{{{}, {}}}".format(n_cell, n_input))
39 "fw_recurrent_to_input_weights", "TENSOR_FLOAT16", "{{{}, {}}}".format(n_cell, n_output))
41 "fw_recurrent_to_forget_weights", "TENSOR_FLOAT16", "{{{}, {}}}".format(n_cell, n_output))
43 "fw_recurrent_to_cell_weights", "TENSOR_FLOAT16", "{{{}, {}}}".format(n_cell, n_output))
45 "fw_recurrent_to_output_weights", "TENSOR_FLOAT16", "{{{}, {}}}".format(n_cell, n_output))
48 "fw_cell_to_input_weights", "TENSOR_FLOAT16", "{{{}}}".format(n_cell))
[all …]
|
| D | bidirectional_sequence_lstm_merge_outputs.mod.py | 23 n_cell = 4 variable
30 "fw_input_to_input_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_input))
32 "fw_input_to_forget_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_input))
34 "fw_input_to_cell_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_input))
36 "fw_input_to_output_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_input))
39 "fw_recurrent_to_input_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_output))
41 "fw_recurrent_to_forget_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_output))
43 "fw_recurrent_to_cell_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_output))
45 "fw_recurrent_to_output_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_output))
48 "fw_cell_to_input_weights", "TENSOR_FLOAT32", "{{{}}}".format(n_cell))
[all …]
|
| D | bidirectional_sequence_lstm_float16_batch_major.mod.py | 22 n_cell = 4 variable
29 "fw_input_to_input_weights", "TENSOR_FLOAT16", "{{{}, {}}}".format(n_cell, n_input))
31 "fw_input_to_forget_weights", "TENSOR_FLOAT16", "{{{}, {}}}".format(n_cell, n_input))
33 "fw_input_to_cell_weights", "TENSOR_FLOAT16", "{{{}, {}}}".format(n_cell, n_input))
35 "fw_input_to_output_weights", "TENSOR_FLOAT16", "{{{}, {}}}".format(n_cell, n_input))
38 "fw_recurrent_to_input_weights", "TENSOR_FLOAT16", "{{{}, {}}}".format(n_cell, n_output))
40 "fw_recurrent_to_forget_weights", "TENSOR_FLOAT16", "{{{}, {}}}".format(n_cell, n_output))
42 "fw_recurrent_to_cell_weights", "TENSOR_FLOAT16", "{{{}, {}}}".format(n_cell, n_output))
44 "fw_recurrent_to_output_weights", "TENSOR_FLOAT16", "{{{}, {}}}".format(n_cell, n_output))
47 "fw_cell_to_input_weights", "TENSOR_FLOAT16", "{{{}}}".format(n_cell))
[all …]
|
| D | bidirectional_sequence_lstm.mod.py | 22 n_cell = 4 variable
29 "fw_input_to_input_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_input))
31 "fw_input_to_forget_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_input))
33 "fw_input_to_cell_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_input))
35 "fw_input_to_output_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_input))
38 "fw_recurrent_to_input_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_output))
40 "fw_recurrent_to_forget_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_output))
42 "fw_recurrent_to_cell_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_output))
44 "fw_recurrent_to_output_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_output))
47 "fw_cell_to_input_weights", "TENSOR_FLOAT32", "{{{}}}".format(n_cell))
[all …]
|
| D | bidirectional_sequence_lstm_cifg_peephole.mod.py | 22 n_cell = 4 variable
29 "fw_input_to_input_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_input))
31 "fw_input_to_forget_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_input))
33 "fw_input_to_cell_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_input))
35 "fw_input_to_output_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_input))
38 "fw_recurrent_to_input_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_output))
40 "fw_recurrent_to_forget_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_output))
42 "fw_recurrent_to_cell_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_output))
44 "fw_recurrent_to_output_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_output))
47 "fw_cell_to_input_weights", "TENSOR_FLOAT32", "{{{}}}".format(n_cell))
[all …]
|
| D | bidirectional_sequence_lstm_aux_input.mod.py | 24 n_cell = 4 variable
31 "fw_input_to_input_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_input))
33 "fw_input_to_forget_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_input))
35 "fw_input_to_cell_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_input))
37 "fw_input_to_output_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_input))
40 "fw_recurrent_to_input_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_output))
42 "fw_recurrent_to_forget_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_output))
44 "fw_recurrent_to_cell_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_output))
46 "fw_recurrent_to_output_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_output))
49 "fw_cell_to_input_weights", "TENSOR_FLOAT32", "{{{}}}".format(n_cell))
[all …]
|
| D | bidirectional_sequence_lstm_norm_fw_output.mod.py | 23 n_cell = 4 variable
30 "fw_input_to_input_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_input))
32 "fw_input_to_forget_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_input))
34 "fw_input_to_cell_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_input))
36 "fw_input_to_output_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_input))
39 "fw_recurrent_to_input_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_output))
41 "fw_recurrent_to_forget_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_output))
43 "fw_recurrent_to_cell_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_output))
45 "fw_recurrent_to_output_weights", "TENSOR_FLOAT32", "{{{}, {}}}".format(n_cell, n_output))
48 "fw_cell_to_input_weights", "TENSOR_FLOAT32", "{{{}}}".format(n_cell))
[all …]
|
| D | bidirectional_sequence_lstm_float16_batch_major_aux_input.mod.py | 25 n_cell = 4 variable
32 "fw_input_to_input_weights", "TENSOR_FLOAT16", "{{{}, {}}}".format(n_cell, n_input))
34 "fw_input_to_forget_weights", "TENSOR_FLOAT16", "{{{}, {}}}".format(n_cell, n_input))
36 "fw_input_to_cell_weights", "TENSOR_FLOAT16", "{{{}, {}}}".format(n_cell, n_input))
38 "fw_input_to_output_weights", "TENSOR_FLOAT16", "{{{}, {}}}".format(n_cell, n_input))
41 "fw_recurrent_to_input_weights", "TENSOR_FLOAT16", "{{{}, {}}}".format(n_cell, n_output))
43 "fw_recurrent_to_forget_weights", "TENSOR_FLOAT16", "{{{}, {}}}".format(n_cell, n_output))
45 "fw_recurrent_to_cell_weights", "TENSOR_FLOAT16", "{{{}, {}}}".format(n_cell, n_output))
47 "fw_recurrent_to_output_weights", "TENSOR_FLOAT16", "{{{}, {}}}".format(n_cell, n_output))
50 "fw_cell_to_input_weights", "TENSOR_FLOAT16", "{{{}}}".format(n_cell))
[all …]
|
| D | unidirectional_sequence_lstm_norm_peephole_projection.mod.py | 27 n_cell = 4 variable
33 "{%d, %d}" % (n_cell, n_input))
35 "{%d, %d}" % (n_cell, n_input))
37 "{%d, %d}" % (n_cell, n_input))
39 "{%d, %d}" % (n_cell, n_input))
43 "{%d, %d}" % (n_cell, n_output))
46 "{%d, %d}" % (n_cell, n_output))
48 "{%d, %d}" % (n_cell, n_output))
51 "{%d, %d}" % (n_cell, n_output))
54 "{%d}" % (n_cell))
[all …]
|
| D | unidirectional_sequence_lstm_batch_major_norm_peephole_projection.mod.py | 27 n_cell = 4 variable
33 "{%d, %d}" % (n_cell, n_input))
35 "{%d, %d}" % (n_cell, n_input))
37 "{%d, %d}" % (n_cell, n_input))
39 "{%d, %d}" % (n_cell, n_input))
43 "{%d, %d}" % (n_cell, n_output))
46 "{%d, %d}" % (n_cell, n_output))
48 "{%d, %d}" % (n_cell, n_output))
51 "{%d, %d}" % (n_cell, n_output))
54 "{%d}" % (n_cell))
[all …]
|
| D | unidirectional_sequence_lstm_1step.mod.py | 27 n_cell = 4 variable
33 "{%d, %d}" % (n_cell, n_input))
35 "{%d, %d}" % (n_cell, n_input))
37 "{%d, %d}" % (n_cell, n_input))
39 "{%d, %d}" % (n_cell, n_input))
43 "{%d, %d}" % (n_cell, n_output))
46 "{%d, %d}" % (n_cell, n_output))
48 "{%d, %d}" % (n_cell, n_output))
51 "{%d, %d}" % (n_cell, n_output))
54 "{%d}" % (n_cell))
[all …]
|
| D | unidirectional_sequence_lstm_f16_batch_major.mod.py | 28 n_cell = 4 variable
34 "{%d, %d}" % (n_cell, n_input))
36 "{%d, %d}" % (n_cell, n_input))
38 "{%d, %d}" % (n_cell, n_input))
40 "{%d, %d}" % (n_cell, n_input))
44 "{%d, %d}" % (n_cell, n_output))
47 "{%d, %d}" % (n_cell, n_output))
49 "{%d, %d}" % (n_cell, n_output))
52 "{%d, %d}" % (n_cell, n_output))
55 "{%d}" % (n_cell))
[all …]
|
| D | unidirectional_sequence_lstm_f16_norm_peephole_projection.mod.py | 27 n_cell = 4 variable
33 "{%d, %d}" % (n_cell, n_input))
35 "{%d, %d}" % (n_cell, n_input))
37 "{%d, %d}" % (n_cell, n_input))
39 "{%d, %d}" % (n_cell, n_input))
43 "{%d, %d}" % (n_cell, n_output))
46 "{%d, %d}" % (n_cell, n_output))
48 "{%d, %d}" % (n_cell, n_output))
51 "{%d, %d}" % (n_cell, n_output))
54 "{%d}" % (n_cell))
[all …]
|
| D | unidirectional_sequence_lstm_cifg_peephole.mod.py | 27 n_cell = 4 variable
33 "{%d, %d}" % (n_cell, n_input))
35 "{%d, %d}" % (n_cell, n_input))
37 "{%d, %d}" % (n_cell, n_input))
39 "{%d, %d}" % (n_cell, n_input))
43 "{%d, %d}" % (n_cell, n_output))
46 "{%d, %d}" % (n_cell, n_output))
48 "{%d, %d}" % (n_cell, n_output))
51 "{%d, %d}" % (n_cell, n_output))
54 "{%d}" % (n_cell))
[all …]
|
| D | lstm3_state3_float16.mod.py | 24 n_cell = 20 variable
29 input_to_input_weights = Input("input_to_input_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, n_…
30 input_to_forget_weights = Input("input_to_forget_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, …
31 input_to_cell_weights = Input("input_to_cell_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, n_in…
32 input_to_output_weights = Input("input_to_output_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, …
34 …t_weights = Input("recurrent_to_intput_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, n_output))
35 …t_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, n_output))
36 …ell_weights = Input("recurrent_to_cell_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, n_output))
37 …t_weights = Input("recurrent_to_output_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, n_output))
39 cell_to_input_weights = Input("cell_to_input_weights", "TENSOR_FLOAT16", "{%d}" % (n_cell))
[all …]
|
| D | lstm3_float16.mod.py | 24 n_cell = 20 variable
29 input_to_input_weights = Input("input_to_input_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, n_…
30 input_to_forget_weights = Input("input_to_forget_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, …
31 input_to_cell_weights = Input("input_to_cell_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, n_in…
32 input_to_output_weights = Input("input_to_output_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, …
34 …t_weights = Input("recurrent_to_intput_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, n_output))
35 …t_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, n_output))
36 …ell_weights = Input("recurrent_to_cell_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, n_output))
37 …t_weights = Input("recurrent_to_output_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, n_output))
39 cell_to_input_weights = Input("cell_to_input_weights", "TENSOR_FLOAT16", "{%d}" % (n_cell))
[all …]
|
| D | lstm3_state_float16.mod.py | 24 n_cell = 20 variable
29 input_to_input_weights = Input("input_to_input_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, n_…
30 input_to_forget_weights = Input("input_to_forget_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, …
31 input_to_cell_weights = Input("input_to_cell_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, n_in…
32 input_to_output_weights = Input("input_to_output_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, …
34 …t_weights = Input("recurrent_to_intput_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, n_output))
35 …t_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, n_output))
36 …ell_weights = Input("recurrent_to_cell_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, n_output))
37 …t_weights = Input("recurrent_to_output_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, n_output))
39 cell_to_input_weights = Input("cell_to_input_weights", "TENSOR_FLOAT16", "{%d}" % (n_cell))
[all …]
|
| D | lstm3_state2_float16.mod.py | 24 n_cell = 20 variable
29 input_to_input_weights = Input("input_to_input_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, n_…
30 input_to_forget_weights = Input("input_to_forget_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, …
31 input_to_cell_weights = Input("input_to_cell_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, n_in…
32 input_to_output_weights = Input("input_to_output_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, …
34 …t_weights = Input("recurrent_to_intput_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, n_output))
35 …t_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, n_output))
36 …ell_weights = Input("recurrent_to_cell_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, n_output))
37 …t_weights = Input("recurrent_to_output_weights", "TENSOR_FLOAT16", "{%d, %d}" % (n_cell, n_output))
39 cell_to_input_weights = Input("cell_to_input_weights", "TENSOR_FLOAT16", "{%d}" % (n_cell))
[all …]
|
| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| D | lstm3_state3.mod.py | 24 n_cell = 20 variable
29 input_to_input_weights = Input("input_to_input_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_…
30 input_to_forget_weights = Input("input_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, …
31 input_to_cell_weights = Input("input_to_cell_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_in…
32 input_to_output_weights = Input("input_to_output_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, …
34 …t_weights = Input("recurrent_to_intput_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output))
35 …t_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output))
36 …ell_weights = Input("recurrent_to_cell_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output))
37 …t_weights = Input("recurrent_to_output_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output))
39 cell_to_input_weights = Input("cell_to_input_weights", "TENSOR_FLOAT32", "{%d}" % (n_cell))
[all …]
|
| D | lstm3.mod.py | 24 n_cell = 20 variable
29 input_to_input_weights = Input("input_to_input_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_…
30 input_to_forget_weights = Input("input_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, …
31 input_to_cell_weights = Input("input_to_cell_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_in…
32 input_to_output_weights = Input("input_to_output_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, …
34 …t_weights = Input("recurrent_to_intput_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output))
35 …t_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output))
36 …ell_weights = Input("recurrent_to_cell_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output))
37 …t_weights = Input("recurrent_to_output_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output))
39 cell_to_input_weights = Input("cell_to_input_weights", "TENSOR_FLOAT32", "{%d}" % (n_cell))
[all …]
|
| D | lstm3_state2.mod.py | 24 n_cell = 20 variable
29 input_to_input_weights = Input("input_to_input_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_…
30 input_to_forget_weights = Input("input_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, …
31 input_to_cell_weights = Input("input_to_cell_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_in…
32 input_to_output_weights = Input("input_to_output_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, …
34 …t_weights = Input("recurrent_to_intput_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output))
35 …t_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output))
36 …ell_weights = Input("recurrent_to_cell_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output))
37 …t_weights = Input("recurrent_to_output_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output))
39 cell_to_input_weights = Input("cell_to_input_weights", "TENSOR_FLOAT32", "{%d}" % (n_cell))
[all …]
|
| D | lstm3_state.mod.py | 24 n_cell = 20 variable
29 input_to_input_weights = Input("input_to_input_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_…
30 input_to_forget_weights = Input("input_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, …
31 input_to_cell_weights = Input("input_to_cell_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_in…
32 input_to_output_weights = Input("input_to_output_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, …
34 …t_weights = Input("recurrent_to_intput_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output))
35 …t_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output))
36 …ell_weights = Input("recurrent_to_cell_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output))
37 …t_weights = Input("recurrent_to_output_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output))
39 cell_to_input_weights = Input("cell_to_input_weights", "TENSOR_FLOAT32", "{%d}" % (n_cell))
[all …]
|
| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| D | lstm3_relaxed.mod.py | 24 n_cell = 20 variable
29 input_to_input_weights = Input("input_to_input_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_…
30 input_to_forget_weights = Input("input_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, …
31 input_to_cell_weights = Input("input_to_cell_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_in…
32 input_to_output_weights = Input("input_to_output_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, …
34 …t_weights = Input("recurrent_to_intput_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output))
35 …t_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output))
36 …ell_weights = Input("recurrent_to_cell_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output))
37 …t_weights = Input("recurrent_to_output_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output))
39 cell_to_input_weights = Input("cell_to_input_weights", "TENSOR_FLOAT32", "{%d}" % (n_cell))
[all …]
|
| D | lstm3_state3_relaxed.mod.py | 24 n_cell = 20 variable
29 input_to_input_weights = Input("input_to_input_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_…
30 input_to_forget_weights = Input("input_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, …
31 input_to_cell_weights = Input("input_to_cell_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_in…
32 input_to_output_weights = Input("input_to_output_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, …
34 …t_weights = Input("recurrent_to_intput_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output))
35 …t_weights = Input("recurrent_to_forget_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output))
36 …ell_weights = Input("recurrent_to_cell_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output))
37 …t_weights = Input("recurrent_to_output_weights", "TENSOR_FLOAT32", "{%d, %d}" % (n_cell, n_output))
39 cell_to_input_weights = Input("cell_to_input_weights", "TENSOR_FLOAT32", "{%d}" % (n_cell))
[all …]
|