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Results 1 - 3 of 3 for use_kernel (0.12 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test.py
'has_bias': [True, False], 'use_kernel': [True, False], }]) ) @test_util.run_in_graph_and_eager_modes def test_qat_matmul_model( self, shapes: Sequence[Tuple[_TensorShape, _TensorShape]], activation_fn: Optional[ops.Operation], has_bias: bool, use_kernel: bool, ): n = 5
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 235.6K bytes - Viewed (0) -
src/runtime/os_linux.go
// from other sources are always considered valid. // //go:nosplit func validSIGPROF(mp *m, c *sigctxt) bool { code := int32(c.sigcode()) setitimer := code == _SI_KERNEL timer_create := code == _SI_TIMER if !(setitimer || timer_create) { // The signal doesn't correspond to a profiling mechanism that the // runtime enables itself. There's no reason to process it, but there's
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Mar 25 19:53:03 UTC 2024 - 25.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/legalize_hlo.cc
"multiplier"); } // Slicing with dynamic offsets (helper method advised) auto create_slice = [&](mlir::Value tensor, int depth_idx, int channel_idx, bool is_kernel = false) -> mlir::Value { std::vector<int64_t> tensor_shape = mlir::cast<ShapedType>(tensor.getType()).getShape().vec(); // Calculate offsets based on depth_idx, channel_idx and tensor_shape
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 154.9K bytes - Viewed (0)