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Results 1 - 3 of 3 for Sqrt (0.19 sec)
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tensorflow/c/experimental/gradients/math_grad.cc
public: explicit SqrtGradientFunction(AbstractTensorHandle* sqrt) : sqrt_(sqrt) { sqrt->Ref(); } Status Compute(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> grad_outputs, absl::Span<AbstractTensorHandle*> grad_inputs) override { std::string name = "Sqrt_Grad"; TF_RETURN_IF_ERROR(SqrtGrad(ctx, sqrt_.get(), grad_outputs[0],
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tensorflow/c/experimental/gradients/math_grad_test.cc
} Status SqrtModel(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle*> outputs) { return ops::Sqrt(ctx, inputs[0], &outputs[0], "Sqrt"); } Status NegModel(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle*> outputs) {
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Thu Apr 13 17:32:14 GMT 2023 - 16.3K bytes - Viewed (0) -
RELEASE.md
1e-10))` Alternatively, you can override `convolution_op`: `python class StandardizedConv2D(tf.keras.Layer): def convolution_op(self, inputs, kernel): mean, var = tf.nn.moments(kernel, axes=[0, 1, 2], keepdims=True) # Author code uses std + 1e-5 return super().convolution_op(inputs, (kernel - mean) / tf.sqrt(var + 1e-10))`
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