Searched defs:b1 (Results 1 - 25 of 44) sorted by last modified time

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/frameworks/native/opengl/libagl/
H A Ddxt.cpp102 int b1 = (x >> 16) & 0xff; local
106 return (uint32_t)((b3 << 24) | (b2 << 16) | (b1 << 8) | b0);
167 // bits: b31 b30 b29 ... b3 b2 b1 b0
168 // bits >> 1: b31 b31 b30 ... b4 b3 b2 b1
169 // &: b31 (b31 & b30) (b29 & b28) ... (b2 & b1) (b1 & b0)
170 // & 0x55..: 0 (b31 & b30) 0 ... 0 (b1 & b0)
241 int b1 = blue(color1); local
245 c[1] = (r1 << 11) | ((g1 >> 1) << 6) | (b1 << 1) | 0x1;
261 b2 = avg23(b0, b1);
371 int b1 = blue(color1); local
528 int b1 = blue(color1); local
[all...]
H A Dmatrix.h111 GLfixed a1, GLfixed b1,
125 "%r"(a1), "r"(b1),
134 int64_t(a1)*b1)>>16) + c;
140 GLfixed a1, GLfixed b1,
156 "%r"(a1), "r"(b1),
169 "madd %[a1],%[b1] \r\n"
178 : [a0] "r" (a0),[b0] "r" (b0),[a1] "r" (a1),[b1] "r" (b1),[a2] "r" (a2),[b2] "r" (b2),[c] "r" (c)
186 int64_t(a1)*b1 +
192 // b0, b1, b
110 mla2a( GLfixed a0, GLfixed b0, GLfixed a1, GLfixed b1, GLfixed c) argument
139 mla3a( GLfixed a0, GLfixed b0, GLfixed a1, GLfixed b1, GLfixed a2, GLfixed b2, GLfixed c) argument
316 mla3( GLfixed a0, GLfixed b0, GLfixed a1, GLfixed b1, GLfixed a2, GLfixed b2) argument
347 mla4( GLfixed a0, GLfixed b0, GLfixed a1, GLfixed b1, GLfixed a2, GLfixed b2, GLfixed a3, GLfixed b3) argument
[all...]
/frameworks/native/opengl/libs/ETC1/
H A Detc1.cpp203 int r1, r2, g1, g2, b1, b2; local
213 b1 = convert5To8(bBase);
221 b1 = convert4To8(high >> 12);
229 decode_subblock(pOut, r1, g1, b1, tableA, low, false, flipped);
379 int r1, g1, b1, r2, g2, b2; // 8 bit base colors for sub-blocks local
391 b1 = convert5To8(b51);
417 b1 = convert4To8(b41);
426 pBaseColors[2] = b1;
/frameworks/ml/nn/common/operations/internal/optimized/
H A Ddepthwiseconv_uint8.h1314 const int32x4_t b1 = vld1q_s32(bias_data + 4); local
1317 vst1q_s32(acc_buffer + 8 * i + 4, b1);
1319 vst1q_s32(acc_buffer + 8 * i + 12, b1);
1323 vst1q_s32(acc_buffer + 8 * i + 4, b1);
1327 const int32x4_t b1 = vld1q_s32(bias_data + 4); local
1332 vst1q_s32(acc_buffer + 16 * i + 4, b1);
H A Doptimized_ops.h241 auto b1 = vld1q_f32(bias_data + i + 4); local
249 auto x1 = vaddq_f32(a1, b1);
/frameworks/ml/nn/runtime/test/specs/
H A Dconv_float.mod.py20 b1 = Parameter("op3", "TENSOR_FLOAT32", "{1}", [0]) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
H A Dconv_float_channels.mod.py20 b1 = Parameter("op3", "TENSOR_FLOAT32", "{3}", [0., 0., 0.]) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
H A Dconv_float_channels_weights_as_inputs.mod.py20 b1 = Input("op3", "TENSOR_FLOAT32", "{3}") variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
37 b1:
H A Dconv_float_large.mod.py20 b1 = Parameter("op3", "TENSOR_FLOAT32", "{3}", [0., 0., 0.]) variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
H A Dconv_float_large_weights_as_inputs.mod.py20 b1 = Input("op3", "TENSOR_FLOAT32", "{3}") variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
38 b1:
H A Dconv_float_weights_as_inputs.mod.py20 b1 = Input("op3", "TENSOR_FLOAT32", "{1}") variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
35 b1:
H A Dconv_quant8.mod.py22 b1 = Parameter("op3", "TENSOR_INT32", "{1}, 0.25f, 0", [4]) variable
30 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride,
38 # (i1 (conv) f1) + b1
H A Dconv_quant8_channels.mod.py20 b1 = Parameter("op3", "TENSOR_INT32", "{3}, 0.25, 0", [0, 0, 0]) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
H A Dconv_quant8_channels_weights_as_inputs.mod.py20 b1 = Input("op3", "TENSOR_INT32", "{3}, 0.25, 0") variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
35 b1:
H A Dconv_quant8_large.mod.py20 b1 = Parameter("op3", "TENSOR_INT32", "{3}, 0.25, 0", [0, 0, 0]) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
H A Dconv_quant8_large_weights_as_inputs.mod.py20 b1 = Input("op3", "TENSOR_INT32", "{3}, 0.25, 0") variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
36 b1:
H A Dconv_quant8_overflow.mod.py20 b1 = Parameter("op3", "TENSOR_INT32", "{3}, 0.25, 0", [0, 0, 0]) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
H A Dconv_quant8_overflow_weights_as_inputs.mod.py20 b1 = Input("op3", "TENSOR_INT32", "{3}, 0.25, 0") variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
36 b1:
H A Dconv_quant8_weights_as_inputs.mod.py20 b1 = Input("op3", "TENSOR_INT32", "{1}, 0.25f, 0") variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output)
35 b1:
37 # (i1 (conv) f1) + b1
H A Ddepthwise_conv2d_float.mod.py20 b1 = Parameter("op3", "TENSOR_FLOAT32", "{4}", [1, 2, 3, 4]) variable
28 i1, f1, b1,
38 # (i1 (conv) f1) + b1
H A Ddepthwise_conv2d_float_large.mod.py20 b1 = Parameter("op3", "TENSOR_FLOAT32", "{2}", [100, 200]) # depth_out = 2 variable
28 i1, f1, b1,
39 # (i1 (conv) f1) + b1
H A Ddepthwise_conv2d_float_large_2.mod.py20 b1 = Parameter("op3", "TENSOR_FLOAT32", "{4}", [600000, 700000, 800000, 900000]) # depth_out = 4 variable
28 i1, f1, b1,
41 # (i1 (conv) f1) + b1
H A Ddepthwise_conv2d_float_large_2_weights_as_inputs.mod.py20 b1 = Input("op3", "TENSOR_FLOAT32", "{4}") # depth_out = 4 variable
28 i1, f1, b1,
45 b1:
48 # (i1 (conv) f1) + b1
H A Ddepthwise_conv2d_float_large_weights_as_inputs.mod.py20 b1 = Input("op3", "TENSOR_FLOAT32", "{2}") # depth_out = 2 variable
28 i1, f1, b1,
41 b1:
44 # (i1 (conv) f1) + b1
H A Ddepthwise_conv2d_float_weights_as_inputs.mod.py20 b1 = Input("op3", "TENSOR_FLOAT32", "{4}") variable
28 i1, f1, b1,
43 b1:
45 # (i1 (conv) f1) + b1

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