Lines Matching refs:f
21 0.000000f, 0.693147f, 1.098612f, 1.386294f, 1.609438f, 1.791759f, 1.945910f, 2.079442f,
22 2.197225f, 2.302585f, 2.397895f, 2.484907f, 2.564949f, 2.639057f, 2.708050f, 2.772589f,
23 2.833213f, 2.890372f, 2.944439f, 2.995732f, 3.044522f, 3.091042f, 3.135494f, 3.178054f,
24 3.218876f, 3.258097f, 3.295837f, 3.332205f, 3.367296f, 3.401197f, 3.433987f, 3.465736f,
25 3.496508f, 3.526361f, 3.555348f, 3.583519f, 3.610918f, 3.637586f, 3.663562f, 3.688879f,
26 3.713572f, 3.737670f, 3.761200f, 3.784190f, 3.806662f, 3.828641f, 3.850148f, 3.871201f,
27 3.891820f, 3.912023f, 3.931826f, 3.951244f, 3.970292f, 3.988984f, 4.007333f, 4.025352f,
28 4.043051f, 4.060443f, 4.077537f, 4.094345f, 4.110874f, 4.127134f, 4.143135f, 4.158883f,
29 4.174387f, 4.189655f, 4.204693f, 4.219508f, 4.234107f, 4.248495f, 4.262680f, 4.276666f,
30 4.290459f, 4.304065f, 4.317488f, 4.330733f, 4.343805f, 4.356709f, 4.369448f, 4.382027f,
31 4.394449f, 4.406719f, 4.418841f, 4.430817f, 4.442651f, 4.454347f, 4.465908f, 4.477337f,
32 4.488636f, 4.499810f, 4.510860f, 4.521789f, 4.532599f, 4.543295f, 4.553877f, 4.564348f,
33 4.574711f, 4.584967f, 4.595120f, 4.605170f, 4.615121f, 4.624973f, 4.634729f, 4.644391f,
34 4.653960f, 4.663439f, 4.672829f, 4.682131f, 4.691348f, 4.700480f, 4.709530f, 4.718499f,
35 4.727388f, 4.736198f, 4.744932f, 4.753590f, 4.762174f, 4.770685f, 4.779123f, 4.787492f,
36 4.795791f, 4.804021f, 4.812184f, 4.820282f, 4.828314f, 4.836282f, 4.844187f, 4.852030f,
37 4.859812f, 4.867534f, 4.875197f, 4.882802f, 4.890349f, 4.897840f, 4.905275f, 4.912655f,
38 4.919981f, 4.927254f, 4.934474f, 4.941642f, 4.948760f, 4.955827f, 4.962845f, 4.969813f,
39 4.976734f, 4.983607f, 4.990433f, 4.997212f, 5.003946f, 5.010635f, 5.017280f, 5.023881f,
40 5.030438f, 5.036953f, 5.043425f, 5.049856f, 5.056246f, 5.062595f, 5.068904f, 5.075174f,
41 5.081404f, 5.087596f, 5.093750f, 5.099866f, 5.105945f, 5.111988f, 5.117994f, 5.123964f,
42 5.129899f, 5.135798f, 5.141664f, 5.147494f, 5.153292f, 5.159055f, 5.164786f, 5.170484f,
43 5.176150f, 5.181784f, 5.187386f, 5.192957f, 5.198497f, 5.204007f, 5.209486f, 5.214936f,
44 5.220356f, 5.225747f, 5.231109f, 5.236442f, 5.241747f, 5.247024f, 5.252273f, 5.257495f,
45 5.262690f, 5.267858f, 5.273000f, 5.278115f, 5.283204f, 5.288267f, 5.293305f, 5.298317f,
46 5.303305f, 5.308268f, 5.313206f, 5.318120f, 5.323010f, 5.327876f, 5.332719f, 5.337538f,
47 5.342334f, 5.347108f, 5.351858f, 5.356586f, 5.361292f, 5.365976f, 5.370638f, 5.375278f,
48 5.379897f, 5.384495f, 5.389072f, 5.393628f, 5.398163f, 5.402677f, 5.407172f, 5.411646f,
49 5.416100f, 5.420535f, 5.424950f, 5.429346f, 5.433722f, 5.438079f, 5.442418f, 5.446737f,
50 5.451038f, 5.455321f, 5.459586f, 5.463832f, 5.468060f, 5.472271f, 5.476464f, 5.480639f,
51 5.484797f, 5.488938f, 5.493061f, 5.497168f, 5.501258f, 5.505332f, 5.509388f, 5.513429f,
52 5.517453f, 5.521461f, 5.525453f, 5.529429f, 5.533389f, 5.537334f, 5.541264f, 5.545177f
77 y_in = read_imagef(input_y, sampler_orig, (int2)(x, y)) * 255.0f;
83 float ga_x_step = 1.0f / re_config.width;
84 float2 pos_ga = (float2)(x * 4.0f * ga_x_step, y / re_config.height);
85 y_ga[0].x = read_imagef(ga_input0, sampler_ga, pos_ga).x * 255.0f;
87 y_ga[0].y = read_imagef(ga_input0, sampler_ga, pos_ga).x * 255.0f;
89 y_ga[0].z = read_imagef(ga_input0, sampler_ga, pos_ga).x * 255.0f;
91 y_ga[0].w = read_imagef(ga_input0, sampler_ga, pos_ga).x * 255.0f;
94 y_ga[1].x = read_imagef(ga_input1, sampler_ga, pos_ga).x * 255.0f;
96 y_ga[1].y = read_imagef(ga_input1, sampler_ga, pos_ga).x * 255.0f;
98 y_ga[1].z = read_imagef(ga_input1, sampler_ga, pos_ga).x * 255.0f;
100 y_ga[1].w = read_imagef(ga_input1, sampler_ga, pos_ga).x * 255.0f;
104 y_ga[2].x = read_imagef(ga_input2, sampler_ga, pos_ga).x * 255.0f;
106 y_ga[2].y = read_imagef(ga_input2, sampler_ga, pos_ga).x * 255.0f;
108 y_ga[2].z = read_imagef(ga_input2, sampler_ga, pos_ga).x * 255.0f;
110 y_ga[2].w = read_imagef(ga_input2, sampler_ga, pos_ga).x * 255.0f;
114 y_lg = (float4) (0.0f, 0.0f, 0.0f, 0.0f);
124 //y_out = re_config.gain * (y_in + 20.0f) / 128.0f * (y_lg - re_config.log_min);
125 y_out = re_config.gain * (y_ga[0] + 20.0f) / 128.0f * (y_lg - re_config.log_min);
132 y_in = y_in / 255.0f;
133 avg_y_in = (float2)((y_in.x + y_in.y) * 0.5f, (y_in.z + y_in.w) * 0.5f);
134 avg_y_out = (float2)((y_out.x + y_out.y) * 0.5f, (y_out.z + y_out.w) * 0.5f);
135 avg_y_out = clamp (avg_y_out, 0.0f, 1.0f);
136 avg_y_in = (avg_y_in > 0.5f) ? (1.0f - avg_y_in) : avg_y_in;
137 avg_y_out = (avg_y_out > 0.5f) ? (1.0f - avg_y_out) : avg_y_out;
138 gain_y = (avg_y_out + 0.1f) / (avg_y_in + 0.05f);
139 gain_y = gain_y * (avg_y_in * 2.0f + 1.0f);
141 uv_in = read_imagef(input_uv, sampler_orig, (int2)(x, y / 2)) - 0.5f;
142 float2 v_coef = 1.01f / (1.13f * uv_in.xz + 0.01f);
147 v_gain_min = max (v_gain_min, 0.1f);
148 v_gain_max = max (v_gain_max, 0.1f);
151 float2 u_coef = 1.01f / (2.03f * uv_in.yw + 0.01f);
156 u_gain_min = max (u_gain_min, 0.1f);
157 u_gain_max = max (u_gain_max, 0.1f);
160 //printf (" (%.2f) ", gain_uv.x);
161 uv_out = uv_in * gain_uv + 0.5f;