| /frameworks/ml/nn/runtime/test/specs/ |
| svdf.mod.py | 37 input0 = { variable
133 input0[input] = test_inputs[batch_start:batch_end]
134 input0[state_in] = [0 for _ in range(batches * (memory_size - 1) * units)]
140 Example((input0, output0))
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| lstm3.mod.py | 97 input0 = {input_to_input_weights: [ variable
[all...] |
| lstm3_state.mod.py | 97 input0 = {input_to_input_weights: [ variable
[all...] |
| lstm3_state2.mod.py | 97 input0 = {input_to_input_weights: [ variable
[all...] |
| lstm3_state3.mod.py | 97 input0 = {input_to_input_weights: [ variable
[all...] |
| concat_float_2.mod.py | 35 input0 = {input1: input1_values, variable
41 Example((input0, output0))
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| concat_quant8_2.mod.py | 35 input0 = {input1: input1_values, variable
41 Example((input0, output0))
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| embedding_lookup.mod.py | 34 input0 = {index: [1, 0, 2], variable
45 Example((input0, output0))
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| hashtable_lookup_float.mod.py | 36 input0 = {lookup: [1234, -292, -11, 0], variable
54 Example((input0, output0))
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| hashtable_lookup_quant8.mod.py | 36 input0 = {lookup: [123, 250, 255, 0], variable
54 Example((input0, output0))
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| logistic_quant8_2.mod.py | 34 input0 = {i0: input_values} variable
42 Example((input0, output0))
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| relu_float_2.mod.py | 34 input0 = {i0: input_values} variable
39 Example((input0, output0))
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| relu_quant8_2.mod.py | 34 input0 = {i0: input_values} variable
39 Example((input0, output0))
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| lstm.mod.py | 97 input0 = {input_to_input_weights: [-0.45018822, -0.02338299, -0.0870589, -0.34550029, 0.04266912, -0.15680569, -0.34856534, 0.43890524], variable
149 input0[input] = test_input
150 input0[output_state_in] = output_state
151 input0[cell_state_in] = cell_state
152 Example((input0, output0))
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| lstm2.mod.py | 96 input0 = {input_to_input_weights:[], variable
141 input0[input] = [2., 3.]
142 input0[output_state_in] = [ 0 for _ in range(n_batch * n_output) ]
143 input0[cell_state_in] = [ 0 for _ in range(n_batch * n_cell) ]
146 Example((input0, output0))
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| lstm2_state.mod.py | 96 input0 = {input_to_input_weights:[], variable
141 input0[input] = [3., 4.]
142 input0[output_state_in] = [-0.364445, -0.00352185, 0.128866, -0.0516365]
143 input0[cell_state_in] = [-0.760444, -0.0180416, 0.182264, -0.0649371]
145 Example((input0, output0))
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| lstm2_state2.mod.py | 96 input0 = {input_to_input_weights:[], variable
141 input0[input] = [1., 1.]
142 input0[output_state_in] = [-0.423122, -0.0121822, 0.24201, -0.0812458]
143 input0[cell_state_in] = [-0.978419, -0.139203, 0.338163, -0.0983904]
146 Example((input0, output0))
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| lstm_state.mod.py | 97 input0 = {input_to_input_weights: [-0.45018822, -0.02338299, -0.0870589, -0.34550029, 0.04266912, -0.15680569, -0.34856534, 0.43890524], variable
149 input0[input] = test_input
150 input0[output_state_in] = output_state
151 input0[cell_state_in] = cell_state
152 Example((input0, output0))
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| lstm_state2.mod.py | 97 input0 = {input_to_input_weights: [-0.45018822, -0.02338299, -0.0870589, -0.34550029, 0.04266912, -0.15680569, -0.34856534, 0.43890524], variable
149 input0[input] = test_input
150 input0[output_state_in] = output_state
151 input0[cell_state_in] = cell_state
152 Example((input0, output0))
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| avg_pool_float_2.mod.py | 46 input0 = {i0: input_values} variable
51 Example((input0, output0))
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| avg_pool_float_3.mod.py | 46 input0 = {i0: input_values} variable
51 Example((input0, output0))
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| avg_pool_float_4.mod.py | 46 input0 = {i0: input_values} variable
51 Example((input0, output0))
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| avg_pool_quant8_2.mod.py | 46 input0 = {i0: input_values} variable
51 Example((input0, output0))
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| /external/webrtc/webrtc/modules/audio_coding/codecs/isac/fix/source/ |
| lattice_mips.c | 122 // *ptr2 = input2 * (*ptr2) + input0 * (*ptr0));
123 // *ptr1 = input1 * (*ptr0) + input0 * (*ptr2);
127 void WebRtcIsacfix_FilterMaLoopMIPS(int16_t input0, // Filter coefficient
153 "mult $ac0, %[r0], %[input0] \n\t"
154 "mult $ac1, %[r1], %[input0] \n\t"
155 "mult $ac2, %[r2], %[input0] \n\t"
156 "mult $ac3, %[r3], %[input0] \n\t"
191 "mult $ac0, %[t0], %[input0] \n\t"
192 "mult $ac1, %[t1], %[input0] \n\t"
193 "mult $ac2, %[t2], %[input0] \n\t
[all...] |
| /frameworks/ml/nn/tools/test_generator/tests/P_lstm/ |
| lstm.mod.py | 97 input0 = {input_to_input_weights: [-0.45018822, -0.02338299, -0.0870589, -0.34550029, 0.04266912, -0.15680569, -0.34856534, 0.43890524], variable
158 input0[input] = input_tensor
159 input0[output_state_in] = [ 0 for _ in range(n_batch * n_output) ]
160 input0[cell_state_in] = [ 0 for _ in range(n_batch * n_cell) ]
161 Example((input0, output0))
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