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Results 1 - 2 of 2 for convolution_v1 (0.14 sec)
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tensorflow/compiler/mlir/lite/flatbuffer_export.cc
tflite::BuiltinOptions2_StablehloSliceOptions, slice_option.Union()); } if (auto vhlo_op = llvm::dyn_cast<mlir::vhlo::ConvolutionOpV1>(inst)) { std::string op_name = inst->getName().getStringRef().str(); uint32_t opcode_index = GetOpcodeIndex( op_name, tflite::BuiltinOperator_STABLEHLO_CONVOLUTION);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:41:49 UTC 2024 - 164.5K bytes - Viewed (2) -
RELEASE.md
mean, var = tf.nn.moments(self.kernel, axes=[0, 1, 2], keepdims=True) return self.convolution_op(inputs, (self.kernel - mean) / tf.sqrt(var + 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],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)