| /frameworks/ml/nn/runtime/test/specs/V1_2/ |
| D | layer_norm_lstm.mod.py | 70 cell_state_in = Input("cell_state_in", "TENSOR_FLOAT32", variable
101 cell_state_in, activation_param, cell_clip_param, proj_clip_param,
181 cur_input[cell_state_in] = cell_state
242 cell_state_in = Input("cell_state_in", "TENSOR_FLOAT32", variable
273 cell_state_in, activation_param, cell_clip_param, proj_clip_param,
350 cur_input[cell_state_in] = cell_state
|
| D | lstm2_state_float16.mod.py | 52 cell_state_in = Input("cell_state_in", "TENSOR_FLOAT16", "{%d, %d}" % (n_batch, n_cell)) variable
89 cell_state_in,
139 input0[cell_state_in] = [-0.760444, -0.0180416, 0.182264, -0.0649371]
|
| D | lstm3_state2_float16.mod.py | 52 cell_state_in = Input("cell_state_in", "TENSOR_FLOAT16", "{%d, %d}" % (n_batch, n_cell)) variable
89 cell_state_in,
630 input0[cell_state_in] = [
|
| D | lstm3_state_float16.mod.py | 52 cell_state_in = Input("cell_state_in", "TENSOR_FLOAT16", "{%d, %d}" % (n_batch, n_cell)) variable
89 cell_state_in,
630 input0[cell_state_in] = [
|
| D | unidirectional_sequence_lstm_layer_norm_cifg_peephole.mod.py | 73 cell_state_in = Input("cell_state_in", "TENSOR_FLOAT32", variable
99 cell_state_in, activation_param, cell_clip_param, proj_clip_param, time_major_param,
161 input0[cell_state_in] = [ 0 for _ in range(n_batch * n_cell) ]
|
| D | unidirectional_sequence_lstm_batch_major_peephole_projection_bias.mod.py | 73 cell_state_in = Input("cell_state_in", "TENSOR_FLOAT32", variable
95 cell_state_in, activation_param, cell_clip_param, proj_clip_param, time_major_param,
703 input0[cell_state_in] = [0 for _ in range(n_batch * n_cell)]
|
| D | lstm_state2_float16.mod.py | 52 cell_state_in = Input("cell_state_in", "TENSOR_FLOAT16", "{%d, %d}" % (n_batch, n_cell)) variable
89 cell_state_in,
147 input0[cell_state_in] = cell_state
|
| /frameworks/ml/nn/runtime/test/specs/V1_3/ |
| D | qlstm_projection.mod.py | 61 cell_state_in = Input("cell_state_in", CellStateType) variable
90 cell_state_in, input_layer_norm_weights, forget_layer_norm_weights,
135 cell_state_in: [ 0 for _ in range(batch_size * num_units) ],
192 cell_state_in: [ 0 for _ in range(batch_size * num_units) ],
|
| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| D | lstm2_state.mod.py | 52 cell_state_in = Input("cell_state_in", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, n_cell)) variable
89 cell_state_in,
139 input0[cell_state_in] = [-0.760444, -0.0180416, 0.182264, -0.0649371]
|
| D | lstm3.mod.py | 52 cell_state_in = Input("cell_state_in", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, n_cell)) variable
89 cell_state_in,
620 input0[cell_state_in] = [ 0 for _ in range(n_batch * n_cell) ]
|
| D | lstm3_state3.mod.py | 52 cell_state_in = Input("cell_state_in", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, n_cell)) variable
89 cell_state_in,
630 input0[cell_state_in] = [
|
| D | lstm2_state2.mod.py | 52 cell_state_in = Input("cell_state_in", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, n_cell)) variable
89 cell_state_in,
139 input0[cell_state_in] = [-0.978419, -0.139203, 0.338163, -0.0983904]
|
| D | lstm3_state.mod.py | 52 cell_state_in = Input("cell_state_in", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, n_cell)) variable
89 cell_state_in,
630 input0[cell_state_in] = [
|
| D | lstm3_state2.mod.py | 52 cell_state_in = Input("cell_state_in", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, n_cell)) variable
89 cell_state_in,
630 input0[cell_state_in] = [
|
| D | lstm2.mod.py | 52 cell_state_in = Input("cell_state_in", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, n_cell)) variable
89 cell_state_in,
139 input0[cell_state_in] = [ 0 for _ in range(n_batch * n_cell) ]
|
| D | lstm_state.mod.py | 52 cell_state_in = Input("cell_state_in", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, n_cell)) variable
89 cell_state_in,
147 input0[cell_state_in] = cell_state
|
| D | lstm_state2.mod.py | 52 cell_state_in = Input("cell_state_in", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, n_cell)) variable
89 cell_state_in,
147 input0[cell_state_in] = cell_state
|
| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| D | lstm_state2_relaxed.mod.py | 52 cell_state_in = Input("cell_state_in", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, n_cell)) variable
89 cell_state_in,
148 input0[cell_state_in] = cell_state
|
| D | lstm2_state_relaxed.mod.py | 52 cell_state_in = Input("cell_state_in", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, n_cell)) variable
89 cell_state_in,
140 input0[cell_state_in] = [-0.760444, -0.0180416, 0.182264, -0.0649371]
|
| D | lstm2_relaxed.mod.py | 52 cell_state_in = Input("cell_state_in", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, n_cell)) variable
89 cell_state_in,
140 input0[cell_state_in] = [ 0 for _ in range(n_batch * n_cell) ]
|
| D | lstm_state_relaxed.mod.py | 52 cell_state_in = Input("cell_state_in", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, n_cell)) variable
89 cell_state_in,
148 input0[cell_state_in] = cell_state
|
| D | lstm2_state2_relaxed.mod.py | 52 cell_state_in = Input("cell_state_in", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, n_cell)) variable
89 cell_state_in,
140 input0[cell_state_in] = [-0.978419, -0.139203, 0.338163, -0.0983904]
|
| D | lstm3_state2_relaxed.mod.py | 52 cell_state_in = Input("cell_state_in", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, n_cell)) variable
89 cell_state_in,
631 input0[cell_state_in] = [
|
| /frameworks/ml/nn/tools/test_generator/tests/P_vts_backward_compatibility_float/ |
| D | lstm_float.mod.py | 48 cell_state_in = Input("cell_state_in", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, n_cell)) variable
85 cell_state_in,
144 input0[cell_state_in] = cell_state
|
| /frameworks/ml/nn/tools/test_generator/tests/P_backward_compatibility_float/ |
| D | lstm_float.mod.py | 48 cell_state_in = Input("cell_state_in", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, n_cell)) variable
85 cell_state_in,
144 input0[cell_state_in] = cell_state
|