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/frameworks/ml/nn/runtime/test/specs/V1_2/
Dgrouped_conv2d.mod.py21 w1 = Parameter("op2", "TENSOR_FLOAT32", "{2, 2, 2, 1}", [1, 2, 2, 1, 4, 3, 2, 1]) # weight variable
25 Model().Operation("GROUPED_CONV_2D", i1, w1, b1, 0, 0, 0, 0, 1, 1, 2, act, layout).To(o1)
30 w1: ("TENSOR_QUANT8_ASYMM", 0.25, 128),
37 w1: ("TENSOR_QUANT8_ASYMM", 0.25, 128),
45 …w1: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.25,…
52 …w1: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.25,…
Dtranspose_conv2d_large.mod.py21 w1 = Parameter("op2", "TENSOR_FLOAT32", "{16, 1, 1, 1}", [1] * 16) # weight variable
26 Model().Operation("TRANSPOSE_CONV_2D", i1, w1, b1, s1, 1, 32, 32, act, layout).To(o1)
31 w1: ("TENSOR_QUANT8_ASYMM", 0.5, 0),
39 …w1: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.5] …
Dtranspose_conv2d.mod.py21 w1 = Parameter("op2", "TENSOR_FLOAT32", "{2, 3, 3, 1}", [1, 3, 5, 7, 9, 11, 13, 15, 17, 2, 4, 6, 8,… variable
26 Model().Operation("TRANSPOSE_CONV_2D", i1, w1, b1, s1, 2, 2, 2, act, layout).To(o1)
31 w1: ("TENSOR_QUANT8_ASYMM", 0.5, 0),
38 w1: ("TENSOR_QUANT8_ASYMM", 0.5, 128),
46 …w1: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.25,…
53 …w1: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.25,…
/frameworks/ml/nn/runtime/test/specs/V1_3/
Dgrouped_conv2d_quant8_signed.mod.py21 w1 = Parameter("op2", "TENSOR_FLOAT32", "{2, 2, 2, 1}", [1, 2, 2, 1, 4, 3, 2, 1]) # weight variable
25 Model().Operation("GROUPED_CONV_2D", i1, w1, b1, 0, 0, 0, 0, 1, 1, 2, act, layout).To(o1)
30 w1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.25, 0),
37 w1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.25, 0),
45 …w1: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.25,…
52 …w1: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.25,…
Dtranspose_conv2d_quant8_signed.mod.py21 w1 = Parameter("op2", "TENSOR_FLOAT32", "{16, 1, 1, 1}", [1] * 16) # weight variable
26 Model().Operation("TRANSPOSE_CONV_2D", i1, w1, b1, s1, 1, 32, 32, act, layout).To(o1)
31 w1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.5, -128),
39 …w1: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.5] …
55 w1 = Parameter("op2", "TENSOR_FLOAT32", "{2, 3, 3, 1}", [1, 3, 5, 7, 9, 11, 13, 15, 17, 2, 4, 6, 8,… variable
60 Model().Operation("TRANSPOSE_CONV_2D", i1, w1, b1, s1, 2, 2, 2, act, layout).To(o1)
65 w1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.5, -128),
72 w1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.5, 0),
80 …w1: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.25,…
87 …w1: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.25,…
Dtranspose_quant8_signed.mod.py21 w1 = Parameter("op2", "TENSOR_FLOAT32", "{16, 1, 1, 1}", [1] * 16) # weight variable
26 Model().Operation("TRANSPOSE_CONV_2D", i1, w1, b1, s1, 1, 32, 32, act, layout).To(o1)
31 w1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.5, -128),
39 …w1: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.5] …
55 w1 = Parameter("op2", "TENSOR_FLOAT32", "{2, 3, 3, 1}", [1, 3, 5, 7, 9, 11, 13, 15, 17, 2, 4, 6, 8,… variable
60 Model().Operation("TRANSPOSE_CONV_2D", i1, w1, b1, s1, 2, 2, 2, act, layout).To(o1)
65 w1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.5, -128),
72 w1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.5, 0),
80 …w1: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.25,…
87 …w1: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0, SymmPerChannelQuantParams(channelDim=0, scales=[0.25,…
/frameworks/rs/driver/runtime/
Drs_sample.c128 int32_t next, float w0, float w1) { in getSample_A() argument
131 float r = p0 * w0 + p1 * w1; in getSample_A()
138 int32_t next, float w0, float w1) { in getSample_L() argument
141 float r = p0 * w0 + p1 * w1; in getSample_L()
148 int32_t next, float w0, float w1) { in getSample_LA() argument
151 float2 r = p0 * w0 + p1 * w1; in getSample_LA()
158 int32_t next, float w0, float w1) { in getSample_RGB() argument
161 float3 r = p0 * w0 + p1 * w1; in getSample_RGB()
168 int32_t next, float w0, float w1) { in getSample_565() argument
171 float3 r = p0 * w0 + p1 * w1; in getSample_565()
[all …]
/frameworks/native/libs/vr/libdvr/tests/
Ddvr_buffer_queue-test.cpp279 constexpr uint32_t w1 = 10; in TEST_F() local
280 ret = api_.WriteBufferQueueResizeBuffer(write_queue_, w1, kBufferHeight); in TEST_F()
295 ASSERT_EQ(w1, buffer_desc.width); in TEST_F()
/frameworks/native/opengl/libagl/
Dprimitives.cpp769 int32_t w1 = v1->window.w; in lerp_texcoords_w() local
771 int wscale = 32 - gglClz(w0|w1|w2); in lerp_texcoords_w()
774 int sc = lerp.iteratorsScale(itw, w0, w1, w2); in lerp_texcoords_w()
814 s1 = gglMulx(s1, w1, wscale); in lerp_texcoords_w()
815 t1 = gglMulx(t1, w1, wscale); in lerp_texcoords_w()
/frameworks/base/media/mca/filterfw/native/core/
Dshader_program.cpp47 const float w1 = x * (1.0f - y); in GetTileCoords() local
51 *xt = w0 * b[0] + w1 * b[2] + w2 * b[4] + w3 * b[6]; in GetTileCoords()
52 *yt = w0 * b[1] + w1 * b[3] + w2 * b[5] + w3 * b[7]; in GetTileCoords()
/frameworks/base/services/tests/servicestests/src/com/android/server/
DDropBoxTest.java225 FileWriter w1 = new FileWriter(new File(dir, "DropBoxTest@" + (before + 100000) + ".txt")); in testAddEntriesInTheFuture() local
226 w1.write("FUTURE1"); in testAddEntriesInTheFuture()
227 w1.close(); in testAddEntriesInTheFuture()
/frameworks/base/services/tests/wmtests/src/com/android/server/wm/
DWindowContainerTests.java764 private static final Comparator<TestWindowContainer> SUBLAYER_COMPARATOR = (w1, w2) -> {
765 final int layer1 = w1.mLayer;
/frameworks/base/services/tests/servicestests/res/raw/
Dbackup_telephony_with_password75 …@�Y'�l�l�M���Ǵ�(<_n8ɋ�N+�{1C@ ��K�_�31��|�O��a��x%��-V/,!�H�LG���w1~6�,6$N�Ds�D_�������w…
/frameworks/base/services/core/java/com/android/server/wm/
DWindowState.java618 public int compare(WindowState w1, WindowState w2) {
619 final int layer1 = w1.mSubLayer;