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  /external/libvpx/libvpx/vp9/common/mips/msa/
vp9_idct4x4_msa.c 18 v8i16 in0, in1, in2, in3; local
21 LD4x4_SH(input, in0, in1, in2, in3);
22 TRANSPOSE4x4_SH_SH(in0, in1, in2, in3, in0, in1, in2, in3);
27 VP9_IDCT4x4(in0, in1, in2, in3, in0, in1, in2, in3);
29 TRANSPOSE4x4_SH_SH(in0, in1, in2, in3, in0, in1, in2, in3);
30 VP9_IDCT4x4(in0, in1, in2, in3, in0, in1, in2, in3)
    [all...]
vp9_idct8x8_msa.c 18 v8i16 in0, in1, in2, in3, in4, in5, in6, in7; local
21 LD_SH8(input, 8, in0, in1, in2, in3, in4, in5, in6, in7);
23 TRANSPOSE8x8_SH_SH(in0, in1, in2, in3, in4, in5, in6, in7, in0, in1, in2, in3,
29 VP9_IDCT8x8_1D(in0, in1, in2, in3, in4, in5, in6, in7, in0, in1, in2, in3,
32 TRANSPOSE8x8_SH_SH(in0, in1, in2, in3, in4, in5, in6, in7, in0, in1, in2,
34 VP9_IDCT8x8_1D(in0, in1, in2, in3, in4, in5, in6, in7, in0, in1, in2, in3
    [all...]
  /external/libvpx/libvpx/vp9/encoder/mips/msa/
vp9_fdct4x4_msa.c 18 v8i16 in0, in1, in2, in3, in4; local
20 LD_SH4(input, src_stride, in0, in1, in2, in3);
22 in0 += in1;
24 in4 = (in0 - in3) >> 1;
26 in0 -= in2;
29 TRANSPOSE4x4_SH_SH(in0, in2, in3, in1, in0, in2, in3, in1);
31 in0 += in2;
33 in4 = (in0 - in1) >> 1;
35 in0 -= in3
50 v8i16 in0, in1, in2, in3; local
    [all...]
vp9_fdct8x8_msa.c 18 v8i16 in0, in1, in2, in3, in4, in5, in6, in7; local
20 LD_SH8(input, stride, in0, in1, in2, in3, in4, in5, in6, in7);
21 SLLI_4V(in0, in1, in2, in3, 2);
26 VP9_FDCT8(in0, in1, in2, in3, in4, in5, in6, in7, in0, in1, in2, in3, in4,
28 TRANSPOSE8x8_SH_SH(in0, in1, in2, in3, in4, in5, in6, in7, in0, in1, in2,
30 VP9_FDCT8(in0, in1, in2, in3, in4, in5, in6, in7, in0, in1, in2, in3, in4,
34 VP9_ADST8(in0, in1, in2, in3, in4, in5, in6, in7, in0, in1, in2, in3, in4
    [all...]
  /device/linaro/bootloader/edk2/EdkCompatibilityPkg/Foundation/Library/EdkIIGlueLib/Library/BaseLib/Ipf/
ExecFc.s 37 fc in0
38 mov r8 = in0;;
63 fc.i in0
64 mov r8 = in0;;
  /device/linaro/bootloader/edk2/MdePkg/Library/BaseLib/Ipf/
ExecFc.s 37 fc in0
38 mov r8 = in0;;
63 fc.i in0
64 mov r8 = in0;;
  /frameworks/rs/rsov/tests/RSoVTest/src/com/android/rs/rsov/test/
multi_input.rs 21 float RS_KERNEL sum2(float in0, float in1, uint32_t x) {
22 return in0 + in1;
  /external/libvpx/libvpx/vpx_dsp/mips/
idct4x4_msa.c 15 v8i16 in0, in1, in2, in3; local
19 LD4x4_SH(input, in0, in2, in3, in1);
20 TRANSPOSE4x4_SH_SH(in0, in2, in3, in1, in0, in2, in3, in1);
21 UNPCK_R_SH_SW(in0, in0_r);
45 PCKEV_H4_SH(in0_r, in0_r, in1_r, in1_r, in2_r, in2_r, in3_r, in3_r, in0, in1,
47 ADDBLK_ST4x4_UB(in0, in3, in1, in2, dst, dst_stride);
53 v8i16 in1, in0 = { 0 }; local
59 in0 = __msa_insert_h(in0, 0, a1)
72 v8i16 in0, in1, in2, in3; local
    [all...]
  /frameworks/ml/nn/runtime/test/specs/V1_0/
fully_connected_float.mod.py 18 in0 = Input("op1", "TENSOR_FLOAT32", "{3, 1}") variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
26 input0 = {in0: # input 0
fully_connected_float_2.mod.py 18 in0 = Input("op1", "TENSOR_FLOAT32", "{2, 8}") variable
48 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act_relu).To(out0)
51 input0 = {in0: # input 0
fully_connected_float_3.mod.py 18 in0 = Input("op1", "TENSOR_FLOAT32", "{2, 2}") variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
26 input0 = {in0: # input 0
fully_connected_float_large.mod.py 18 in0 = Input("op1", "TENSOR_FLOAT32", "{1, 5}") # batch = 1, input_size = 5 variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
26 input0 = {in0: # input 0
fully_connected_float_large_weights_as_inputs.mod.py 18 in0 = Input("op1", "TENSOR_FLOAT32", "{1, 5}") # batch = 1, input_size = 5 variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
26 input0 = {in0: # input 0
fully_connected_float_weights_as_inputs.mod.py 18 in0 = Input("op1", "TENSOR_FLOAT32", "{3, 1}") variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
26 input0 = {in0: # input 0
fully_connected_quant8.mod.py 18 in0 = Input("op1", "TENSOR_QUANT8_ASYMM", "{3, 1}, 0.5f, 0") variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
26 input0 = {in0: # input 0
fully_connected_quant8_2.mod.py 18 in0 = Input("op1", "TENSOR_QUANT8_ASYMM", "{4, 1, 5, 1}, 0.5f, 127") variable
26 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act_relu).To(out0)
29 input0 = {in0: # input 0
fully_connected_quant8_large.mod.py 18 in0 = Input("op1", "TENSOR_QUANT8_ASYMM", "{1, 5}, 0.2, 0") # batch = 1, input_size = 5 variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
26 input0 = {in0: # input 0
fully_connected_quant8_large_weights_as_inputs.mod.py 18 in0 = Input("op1", "TENSOR_QUANT8_ASYMM", "{1, 5}, 0.2, 0") # batch = 1, input_size = 5 variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
26 input0 = {in0: # input 0
fully_connected_quant8_weights_as_inputs.mod.py 18 in0 = Input("op1", "TENSOR_QUANT8_ASYMM", "{3, 1}, 0.5f, 0") variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
26 input0 = {in0: # input 0
  /frameworks/ml/nn/runtime/test/specs/V1_1/
fully_connected_float_2_relaxed.mod.py 18 in0 = Input("op1", "TENSOR_FLOAT32", "{2, 8}") variable
48 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act_relu).To(out0)
52 input0 = {in0: # input 0
fully_connected_float_4d_simple.mod.py 22 in0 = Input("op1", "TENSOR_FLOAT32", "{4, 1, 5, 1}") variable
31 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
34 input0 = {in0: # input 0
fully_connected_float_4d_simple_relaxed.mod.py 22 in0 = Input("op1", "TENSOR_FLOAT32", "{4, 1, 5, 1}") variable
31 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
35 input0 = {in0: # input 0
fully_connected_float_large_relaxed.mod.py 18 in0 = Input("op1", "TENSOR_FLOAT32", "{1, 5}") # batch = 1, input_size = 5 variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
27 input0 = {in0: # input 0
fully_connected_float_relaxed.mod.py 18 in0 = Input("op1", "TENSOR_FLOAT32", "{3, 1}") variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0)
27 input0 = {in0: # input 0
  /device/linaro/bootloader/edk2/MdeModulePkg/Universal/DebugSupportDxe/Ipf/
AsmFuncs.s 279 // in0 - Bundle source
301 ld8 loc2=[in0], 0x8;; // loc2 = source bytes
325 // in0 - Runtime address of bundle
330 // in0 - 1 if successful or 0 if unsuccessful
345 mov loc5=in0;; // loc5 = runtime address of bundle
346 mov in0=1;; // in0 = success
372 (p15) mov in0=0 // in0 = failure
396 // in0 - Instruction encoding (41-bits, right justified)
    [all...]

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