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  /external/tensorflow/tensorflow/contrib/gan/python/eval/python/
classifier_metrics_impl.py 463 Given two Gaussian distribution with means m and m_w and covariance matrices
466 |m - m_w|^2 + Tr(C + C_w - 2(C * C_w)^(1/2))
529 Given two Gaussian distribution with means m and m_w and covariance matrices
532 |m - m_w|^2
570 m_w = math_ops.reduce_mean(generated_activations, 0)
574 math_ops.squared_difference(m, m_w)) # Equivalent to L2 but more stable.
590 Given two Gaussian distribution with means m and m_w and covariance matrices
593 |m - m_w|^2 + (sigma + sigma_w - 2(sigma x sigma_w)^(1/2))
631 m_w, var_w = nn_impl.moments(generated_activations, axes=[0])
649 math_ops.squared_difference(m, m_w)) # Equivalent to L2 but more stable
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  /external/deqp/external/vulkancts/modules/vulkan/shaderrender/
vktShaderRenderBuiltinVarTests.cpp 1712 const Vec4 m_w; member in class:vkt::sr::__anon19130::BuiltinGlFragCoordWCaseInstance
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  /external/zopfli/src/zopfli/
squeeze.c 76 unsigned int m_w, m_z; member in struct:RanState
80 state->m_w = 1;
87 state->m_w = 18000 * (state->m_w & 65535) + (state->m_w >> 16);
88 return (state->m_z << 16) + state->m_w; /* 32-bit result. */
  /external/deqp/external/openglcts/modules/gl/
gl4cShaderSubroutineTests.hpp 169 vec4(T x, T y, T z, T w) : m_x(x), m_y(y), m_z(z), m_w(w)
180 result = result && compare(m_w, val.m_w);
187 message << "[ " << m_x << ", " << m_y << ", " << m_z << ", " << m_w << " ]"; local
193 T m_w; member in struct:gl4cts::ShaderSubroutine::Utils::vec4
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gl4cShaderSubroutineTests.cpp     [all...]

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