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/packages/modules/NeuralNetworks/runtime/test/specs/V1_2/
Dlayer_norm_lstm.mod.py86 scratch_buffer = IgnoredOutput("scratch_buffer", "TENSOR_FLOAT32", variable
104 [scratch_buffer, output_state_out, cell_state_out, output])
183 scratch_buffer: [0] * (n_batch * n_cell * 4),
258 scratch_buffer = IgnoredOutput("scratch_buffer", "TENSOR_FLOAT32", variable
276 [scratch_buffer, output_state_out, cell_state_out, output])
352 scratch_buffer: [0] * (n_batch * n_cell * 3),
Dlstm2_state_float16.mod.py58 scratch_buffer = IgnoredOutput("scratch_buffer", "TENSOR_FLOAT16", "{%d, %d}" % (n_batch, n_cell * … variable
94 ).To([scratch_buffer, output_state_out, cell_state_out, output])
132 scratch_buffer: [ 0 for x in range(n_batch * n_cell * 3) ],
Dlstm3_state_float16.mod.py58 scratch_buffer = IgnoredOutput("scratch_buffer", "TENSOR_FLOAT16", "{%d, %d}" % (n_batch, (n_cell *… variable
94 ).To([scratch_buffer, output_state_out, cell_state_out, output])
643 scratch_buffer: [ 0 for x in range(n_batch * n_cell * 4) ],
Dlstm3_float16.mod.py58 scratch_buffer = IgnoredOutput("scratch_buffer", "TENSOR_FLOAT16", "{%d, %d}" % (n_batch, (n_cell *… variable
94 ).To([scratch_buffer, output_state_out, cell_state_out, output])
623 scratch_buffer: [ 0 for x in range(n_batch * n_cell * 4) ],
Dlstm3_state2_float16.mod.py58 scratch_buffer = IgnoredOutput("scratch_buffer", "TENSOR_FLOAT16", "{%d, %d}" % (n_batch, (n_cell *… variable
94 ).To([scratch_buffer, output_state_out, cell_state_out, output])
643 scratch_buffer: [ 0 for x in range(n_batch * n_cell * 4) ],
Dlstm_float16.mod.py58 scratch_buffer = IgnoredOutput("scratch_buffer", "TENSOR_FLOAT16", "{%d, %d}" % (n_batch, (n_cell *… variable
94 ).To([scratch_buffer, output_state_out, cell_state_out, output])
140 scratch_buffer: [ 0 for x in range(n_batch * n_cell * 4) ],
Dlstm2_float16.mod.py58 scratch_buffer = IgnoredOutput("scratch_buffer", "TENSOR_FLOAT16", "{%d, %d}" % (n_batch, n_cell * … variable
94 ).To([scratch_buffer, output_state_out, cell_state_out, output])
132 scratch_buffer: [ 0 for x in range(n_batch * n_cell * 3) ],
Dlstm2_state2_float16.mod.py58 scratch_buffer = IgnoredOutput("scratch_buffer", "TENSOR_FLOAT16", "{%d, %d}" % (n_batch, n_cell * … variable
94 ).To([scratch_buffer, output_state_out, cell_state_out, output])
132 scratch_buffer: [ 0 for x in range(n_batch * n_cell * 3) ],
Dlstm3_state3_float16.mod.py58 scratch_buffer = IgnoredOutput("scratch_buffer", "TENSOR_FLOAT16", "{%d, %d}" % (n_batch, (n_cell *… variable
94 ).To([scratch_buffer, output_state_out, cell_state_out, output])
643 scratch_buffer: [ 0 for x in range(n_batch * n_cell * 4) ],
Dlstm_state2_float16.mod.py58 scratch_buffer = IgnoredOutput("scratch_buffer", "TENSOR_FLOAT16", "{%d, %d}" % (n_batch, (n_cell *… variable
94 ).To([scratch_buffer, output_state_out, cell_state_out, output])
140 scratch_buffer: [ 0 for x in range(n_batch * n_cell * 4) ],
Dlstm_state_float16.mod.py58 scratch_buffer = IgnoredOutput("scratch_buffer", "TENSOR_FLOAT16", "{%d, %d}" % (n_batch, (n_cell *… variable
94 ).To([scratch_buffer, output_state_out, cell_state_out, output])
140 scratch_buffer: [ 0 for x in range(n_batch * n_cell * 4) ],
/packages/modules/NeuralNetworks/runtime/test/specs/V1_0/
Dlstm2_state.mod.py58 scratch_buffer = IgnoredOutput("scratch_buffer", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, n_cell * … variable
94 ).To([scratch_buffer, output_state_out, cell_state_out, output])
132 scratch_buffer: [ 0 for x in range(n_batch * n_cell * 3) ],
Dlstm2.mod.py58 scratch_buffer = IgnoredOutput("scratch_buffer", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, n_cell * … variable
94 ).To([scratch_buffer, output_state_out, cell_state_out, output])
132 scratch_buffer: [ 0 for x in range(n_batch * n_cell * 3) ],
Dlstm3_state3.mod.py58 scratch_buffer = IgnoredOutput("scratch_buffer", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, (n_cell *… variable
94 ).To([scratch_buffer, output_state_out, cell_state_out, output])
643 scratch_buffer: [ 0 for x in range(n_batch * n_cell * 4) ],
Dlstm.mod.py58 scratch_buffer = IgnoredOutput("scratch_buffer", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, (n_cell *… variable
94 ).To([scratch_buffer, output_state_out, cell_state_out, output])
140 scratch_buffer: [ 0 for x in range(n_batch * n_cell * 4) ],
Dlstm3.mod.py58 scratch_buffer = IgnoredOutput("scratch_buffer", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, (n_cell *… variable
94 ).To([scratch_buffer, output_state_out, cell_state_out, output])
623 scratch_buffer: [ 0 for x in range(n_batch * n_cell * 4) ],
Dlstm_state2.mod.py58 scratch_buffer = IgnoredOutput("scratch_buffer", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, (n_cell *… variable
94 ).To([scratch_buffer, output_state_out, cell_state_out, output])
140 scratch_buffer: [ 0 for x in range(n_batch * n_cell * 4) ],
/packages/modules/NeuralNetworks/runtime/test/specs/V1_1/
Dlstm_relaxed.mod.py58 scratch_buffer = IgnoredOutput("scratch_buffer", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, (n_cell *… variable
94 ).To([scratch_buffer, output_state_out, cell_state_out, output])
141 scratch_buffer: [ 0 for x in range(n_batch * n_cell * 4) ],
Dlstm3_state2_relaxed.mod.py58 scratch_buffer = IgnoredOutput("scratch_buffer", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, (n_cell *… variable
94 ).To([scratch_buffer, output_state_out, cell_state_out, output])
644 scratch_buffer: [ 0 for x in range(n_batch * n_cell * 4) ],
Dlstm3_state_relaxed.mod.py58 scratch_buffer = IgnoredOutput("scratch_buffer", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, (n_cell *… variable
94 ).To([scratch_buffer, output_state_out, cell_state_out, output])
644 scratch_buffer: [ 0 for x in range(n_batch * n_cell * 4) ],
Dlstm2_relaxed.mod.py58 scratch_buffer = IgnoredOutput("scratch_buffer", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, n_cell * … variable
94 ).To([scratch_buffer, output_state_out, cell_state_out, output])
133 scratch_buffer: [ 0 for x in range(n_batch * n_cell * 3) ],
Dlstm_state2_relaxed.mod.py58 scratch_buffer = IgnoredOutput("scratch_buffer", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, (n_cell *… variable
94 ).To([scratch_buffer, output_state_out, cell_state_out, output])
141 scratch_buffer: [ 0 for x in range(n_batch * n_cell * 4) ],
Dlstm_state_relaxed.mod.py58 scratch_buffer = IgnoredOutput("scratch_buffer", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, (n_cell *… variable
94 ).To([scratch_buffer, output_state_out, cell_state_out, output])
141 scratch_buffer: [ 0 for x in range(n_batch * n_cell * 4) ],
Dlstm2_state2_relaxed.mod.py58 scratch_buffer = IgnoredOutput("scratch_buffer", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, n_cell * … variable
94 ).To([scratch_buffer, output_state_out, cell_state_out, output])
133 scratch_buffer: [ 0 for x in range(n_batch * n_cell * 3) ],
/packages/modules/NeuralNetworks/tools/test_generator/tests/P_backward_compatibility_float/
Dlstm_float.mod.py54 scratch_buffer = IgnoredOutput("scratch_buffer", "TENSOR_FLOAT32", "{%d, %d}" % (n_batch, (n_cell *… variable
90 ).To([scratch_buffer, output_state_out, cell_state_out, output])
137 scratch_buffer: [ 0 for x in range(n_batch * n_cell * 4) ],

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