| /packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
| D | qlstm_projection.mod.py | 143 golden_output = [ variable
148 output_state_out: golden_output,
150 output: golden_output,
200 golden_output = [ variable
205 output_state_out: golden_output,
207 output: golden_output,
|
| D | unidirectional_sequence_lstm_layer_norm_cifg_peephole_state_output.mod.py | 156 golden_output = [ variable
179 golden_output,
181 golden_output[(max_time - 1) * (n_batch * n_output):],
|
| D | qlstm_noprojection.mod.py | 137 golden_output = [ variable
142 output_state_out: golden_output,
144 output: golden_output,
|
| /packages/modules/NeuralNetworks/runtime/test/specs/V1_2/ |
| D | layer_norm_lstm.mod.py | 177 for test_input, output_state, cell_state, golden_state, golden_output in tests:
185 output_state_out: golden_output,
186 output: golden_output
346 for test_input, output_state, cell_state, golden_state, golden_output in tests:
354 output_state_out: golden_output,
355 output: golden_output
|
| D | lstm_float16.mod.py | 138 golden_output = [-0.02973187, 0.1229473, 0.20885126, -0.15358765,] variable
143 output: golden_output
|
| D | unidirectional_sequence_lstm_batch_major_peephole_projection_bias.mod.py | 666 golden_output = [ variable
698 output: golden_output,
|
| D | lstm_state2_float16.mod.py | 138 golden_output = [-0.15053082, 0.09120187, 0.24278517, -0.12222792] variable
143 output: golden_output
|
| D | lstm_state_float16.mod.py | 138 golden_output = [-0.03716109, 0.12507336, 0.41193449, -0.20860538] variable
143 output: golden_output
|
| D | unidirectional_sequence_lstm_layer_norm_cifg_peephole.mod.py | 149 golden_output = [ variable
156 output: golden_output,
|
| D | unidirectional_sequence_lstm_f16_norm_peephole_projection.mod.py | 154 golden_output = [ variable
161 output: golden_output,
|
| D | unidirectional_sequence_lstm_f16_batch_major.mod.py | 163 golden_output = [ variable
170 output: golden_output,
|
| D | unidirectional_sequence_lstm_1step.mod.py | 152 golden_output = [ variable
158 output: golden_output,
|
| D | unidirectional_sequence_lstm_cifg_peephole.mod.py | 154 golden_output = [ variable
161 output: golden_output,
|
| D | unidirectional_sequence_lstm_norm_peephole_projection.mod.py | 154 golden_output = [ variable
161 output: golden_output,
|
| D | unidirectional_sequence_lstm_batch_major_norm_peephole_projection.mod.py | 153 golden_output = [ variable
159 output: golden_output,
|
| /packages/modules/NeuralNetworks/runtime/test/specs/V1_1/ |
| D | lstm_relaxed.mod.py | 139 golden_output = [-0.02973187, 0.1229473, 0.20885126, -0.15358765,] variable
144 output: golden_output
|
| D | lstm_state2_relaxed.mod.py | 139 golden_output = [-0.15053082, 0.09120187, 0.24278517, -0.12222792] variable
144 output: golden_output
|
| D | lstm_state_relaxed.mod.py | 139 golden_output = [-0.03716109, 0.12507336, 0.41193449, -0.20860538] variable
144 output: golden_output
|
| /packages/modules/NeuralNetworks/tools/test_generator/tests/P_backward_compatibility_float/ |
| D | lstm_float.mod.py | 135 golden_output = [-0.02973187, 0.1229473, 0.20885126, -0.15358765,] variable
140 output: golden_output
|
| /packages/modules/NeuralNetworks/runtime/test/specs/V1_0/ |
| D | lstm.mod.py | 138 golden_output = [-0.02973187, 0.1229473, 0.20885126, -0.15358765,] variable
143 output: golden_output
|
| D | lstm_state2.mod.py | 138 golden_output = [-0.15053082, 0.09120187, 0.24278517, -0.12222792] variable
143 output: golden_output
|
| D | lstm_state.mod.py | 138 golden_output = [-0.03716109, 0.12507336, 0.41193449, -0.20860538] variable
143 output: golden_output
|
| /packages/modules/NeuralNetworks/tools/test_generator/tests/P_vts_backward_compatibility_float/ |
| D | lstm_float.mod.py | 135 golden_output = [-0.02973187, 0.1229473, 0.20885126, -0.15358765,] variable
140 output: golden_output
|