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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/common/x86/
vp9_idct_intrin_sse2.c 197 __m128i in0[16], in1[16]; local
199 load_buffer_8x16(input, in0);
205 idct16_sse2(in0, in1);
206 idct16_sse2(in0, in1);
209 idct16_sse2(in0, in1);
210 iadst16_sse2(in0, in1);
213 iadst16_sse2(in0, in1);
214 idct16_sse2(in0, in1);
217 iadst16_sse2(in0, in1);
218 iadst16_sse2(in0, in1)
    [all...]
  /external/libvpx/libvpx/vp9/encoder/mips/msa/
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...]
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...]
  /external/tensorflow/tensorflow/core/common_runtime/
memory_types_test.cc 29 auto in0 = test::graph::Constant(g, v); local
31 test::graph::Add(g, in0, in1);
  /external/tensorflow/tensorflow/core/kernels/
mkl_cwise_ops_common.cc 39 auto in0 = context->input(0); variable
42 << in0.shape().DebugString() << " _and_ "
  /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_large_weights_as_inputs_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
fully_connected_float_weights_as_inputs_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

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