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/frameworks/av/media/libstagefright/codecs/amrnb/enc/src/
Ds10_8pf.cpp568 Word16 i0, i1, i2, i3, i4, i5, i6, i7, i9; in search_10and8i40() local
704 for (i5 = ipos[5]; i5 < L_CODE; i5 += step) in search_10and8i40()
706 p_temp2 = &rr[i5][0]; in search_10and8i40()
707 s = (Word32) * (p_temp2 + i5) >> 1; in search_10and8i40()
713 *(p_temp1++) = ps + dn[i5]; in search_10and8i40()
747 for (i5 = ipos[5]; i5 < L_CODE; i5 += step) in search_10and8i40()
751 alp2 = alp1 + ((Word32) * (p_temp2 + i5) << 12); in search_10and8i40()
762 ib = i5; in search_10and8i40()
768 i5 = ib; in search_10and8i40()
788 s += (Word32) rr[i5][i7]; in search_10and8i40()
[all …]
/frameworks/ml/nn/runtime/test/specs/V1_2/
Dconv2d_v1_2.mod.py144 i5 = Input("op1", "TENSOR_FLOAT32", "{1, 8, 8, 3}") variable
149 model_1_same = Model("1_H3_W2_SAME").Operation("CONV_2D", i5, f5, b5, 1, 1, 1, 0, layout).To(o5)
150 model_1_valid = Model("1_H3_W2_VALID").Operation("CONV_2D", i5, f5, b5, 2, 1, 1, 0, layout).To(o6)
153 …i5: [-0.869931, 0.644628, -0.918393, 0.153672, 0.868562, -0.358177, -0.134931, -0.247565, 0.22174,…
156 …i5: [-0.295335, -0.00387601, -0.552251, 0.166084, -0.28482, -0.152143, -0.719885, -0.869386, -0.74…
158 }, model=model_1_same).AddNchw(i5, o5, layout).AddVariations("relaxed", "float16")
161 …i5: [-0.869931, 0.644628, -0.918393, 0.153672, 0.868562, -0.358177, -0.134931, -0.247565, 0.22174,…
164 …i5: [-0.295335, -0.00387601, -0.552251, 0.166084, -0.28482, -0.152143, -0.719885, -0.869386, -0.74…
166 }, model=model_1_valid).AddNchw(i5, o6, layout).AddVariations("relaxed", "float16")
Davg_pool_v1_2.mod.py122 i5 = Input("op1", "TENSOR_FLOAT32", "{1, 2, 4, 1}") variable
124 Model().Operation("AVERAGE_POOL_2D", i5, 1, 2, 2, 2, 2, 0, layout).To(o5)
128 i5: ("TENSOR_QUANT8_ASYMM", 0.25, 0),
134 i5: [0, 6, 2, 4, 3, 2, 10, 7],
136 }).AddNchw(i5, o5, layout).AddVariations("relaxed", "float16", quant8)
Dtranspose_conv2d.mod.py155 i5 = Input("op1", "TENSOR_FLOAT32", "{1, 4, 4, 2}") # input 0 variable
159 Model().Operation("TRANSPOSE_CONV_2D", i5, w5, b5, 1, 2, 2, 1, 1, 1, 0, layout).To(o5)
163 i5: ("TENSOR_QUANT8_ASYMM", 0.5, 100),
170 i5: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,
175 }).AddNchw(i5, o5, layout).AddVariations("relaxed", quant8, "float16").AddInput(w5, b5)
/frameworks/rs/tests/java_api/RSTest_CompatLibLegacy/src/com/android/rs/test/
DUT_instance.java82 int i5[] = new int[1]; in run() local
88 ai5.copyTo(i5); in run()
94 assertEquals(5, i5[0]); in run()
99 assertEquals(5, i5[0]); in run()
/frameworks/rs/tests/java_api/RSUnitTests/supportlibsrc_gen/com/android/rs/unittest/
DUT_instance.java81 int i5[] = new int[1]; in run() local
87 ai5.copyTo(i5); in run()
93 assertEquals(5, i5[0]); in run()
98 assertEquals(5, i5[0]); in run()
Dforeach_multi.rs27 uint32_t i5;
69 retval.i5 = in0 + in1;
168 _RS_ASSERT(result->i5 == sum);
/frameworks/rs/tests/java_api/RSUnitTests/src/com/android/rs/unittest/
DUT_instance.java79 int i5[] = new int[1]; in run() local
85 ai5.copyTo(i5); in run()
91 assertEquals(5, i5[0]); in run()
96 assertEquals(5, i5[0]); in run()
Dforeach_multi.rs25 uint32_t i5;
67 retval.i5 = in0 + in1;
166 _RS_ASSERT(result->i5 == sum);
/frameworks/ml/nn/tools/test_generator/tests/P_vts_internal/
Dadd_internal.mod.py22 i5 = Input("i5", ("TENSOR_FLOAT32", [2])) # input 0 variable
48 model.Operation("ADD", t2, i5, act).To(t3)
59 i5: [0, 0],
/frameworks/ml/nn/tools/test_generator/tests/P_internal/
Dadd_internal.mod.py22 i5 = Input("i5", ("TENSOR_FLOAT32", [2])) # input 0 variable
48 model.Operation("ADD", t2, i5, act).To(t3)
59 i5: [0, 0],
Dstdout.txt.expect36 auto i5 = model->addOperand(&type0);
51 model->addOperation(ANEURALNETWORKS_ADD, {t2, i5, act}, {t3});
58 {i2, i6, i0, i1, i5, i3, i4, i7, i8},
/frameworks/ml/nn/runtime/test/specs/V1_0/
Dconv_1_h3_w2_SAME.mod.py3 i5 = Int32Scalar("b5", 1) variable
10 model = model.Operation("CONV_2D", i2, i0, i1, i4, i5, i6, i7).To(i3)
Dconv_1_h3_w2_VALID.mod.py3 i5 = Int32Scalar("b5", 1) variable
10 model = model.Operation("CONV_2D", i2, i0, i1, i4, i5, i6, i7).To(i3)
Dconv_3_h3_w2_VALID.mod.py3 i5 = Int32Scalar("b5", 1) variable
10 model = model.Operation("CONV_2D", i2, i0, i1, i4, i5, i6, i7).To(i3)
Dconv_3_h3_w2_SAME.mod.py3 i5 = Int32Scalar("b5", 1) variable
10 model = model.Operation("CONV_2D", i2, i0, i1, i4, i5, i6, i7).To(i3)
Ddepthwise_conv.mod.py3 i5 = Int32Scalar("b5", 1) variable
11 model = model.Operation("DEPTHWISE_CONV_2D", i2, i0, i1, i4, i5, i6, i7, i8).To(i3)
Dmobilenet_224_gender_basic_fixed.mod.py142 i5 = Parameter("op5", "TENSOR_FLOAT32", "{1, 3, 3, 128}", [-0.371999, -0.346798, 0.0479857, 0.35729… variable
241 model = model.Operation("DEPTHWISE_CONV_2D", i78, i5, i4, i172, i173, i174, i175, i176).To(i3)
/frameworks/ml/nn/runtime/test/specs/V1_1/
Dconv_1_h3_w2_VALID_relaxed.mod.py19 i5 = Int32Scalar("b5", 1) variable
26 model = model.Operation("CONV_2D", i2, i0, i1, i4, i5, i6, i7).To(i3)
Dconv_3_h3_w2_VALID_relaxed.mod.py19 i5 = Int32Scalar("b5", 1) variable
26 model = model.Operation("CONV_2D", i2, i0, i1, i4, i5, i6, i7).To(i3)
Dconv_3_h3_w2_SAME_relaxed.mod.py19 i5 = Int32Scalar("b5", 1) variable
26 model = model.Operation("CONV_2D", i2, i0, i1, i4, i5, i6, i7).To(i3)
Dconv_1_h3_w2_SAME_relaxed.mod.py19 i5 = Int32Scalar("b5", 1) variable
26 model = model.Operation("CONV_2D", i2, i0, i1, i4, i5, i6, i7).To(i3)
Ddepthwise_conv_relaxed.mod.py19 i5 = Int32Scalar("b5", 1) variable
27 model = model.Operation("DEPTHWISE_CONV_2D", i2, i0, i1, i4, i5, i6, i7, i8).To(i3)
Dmobilenet_224_gender_basic_fixed_relaxed.mod.py158 i5 = Parameter("op5", "TENSOR_FLOAT32", "{1, 3, 3, 128}", [-0.371999, -0.346798, 0.0479857, 0.35729… variable
257 model = model.Operation("DEPTHWISE_CONV_2D", i78, i5, i4, i172, i173, i174, i175, i176).To(i3)
/frameworks/compile/slang/tests/P_warnings_rsSetElementAt/
Dsetelementat.rs48 int5 i5 = {5, 5, 5, 5, 5};
50 rsSetElementAt(A, &i5, 0, 0);

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