v4.1 release update v2. (#2481)
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@@ -36,7 +36,7 @@
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APIs on NVIDIA Blackwell SM100 architecture.
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The basic computation logic of dgrad convolution kernel is, take 3D convolution as an example:
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Xformed Actication (NZPQK) * Weight/Filter (KTRSC) = Activation (NDHWC)
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Xformed Activation (NZPQK) * Weight/Filter (KTRSC) = Activation (NDHWC)
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where in terms of GEMM perspective,
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Matrix A = Xformed Activation, Matrix B = Weight/Filter, Matrix C = Activation
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@@ -36,7 +36,7 @@
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APIs on NVIDIA Blackwell SM100 architecture.
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The basic computation logic of fprop convolution kernel is, take 3D convolution as an example:
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Activation (NDHWC) * Weight/Filter (KTRSC) = Xformed Actication (NZPQK)
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Activation (NDHWC) * Weight/Filter (KTRSC) = Xformed Activation (NZPQK)
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where in terms of GEMM perspective,
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Matrix A = Activation, Matrix B = Weight/Filter, Matrix C = Xformed Activation
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@@ -36,7 +36,7 @@
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APIs on NVIDIA Blackwell SM100 architecture.
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The basic computation logic of wgrad convolution kernel is, take 3D convolution as an example:
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Xformed Actication (NZPQK) * Activation (NDHWC) = Weight/Filter (KTRSC)
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Xformed Activation (NZPQK) * Activation (NDHWC) = Weight/Filter (KTRSC)
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where in terms of GEMM perspective,
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Matrix A = Xformed Activation, Matrix B = Activation, Matrix C = Weight/Filter
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