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tensorflow/c/eager/immediate_execution_tensor_handle.h
// Returns number of elements across all dimensions. virtual Status NumElements(int64_t* num_elements) const = 0; // Returns size of specified dimension // // -1 indicates an unknown axis length; this is unreachable for most standard // ImmediateExecutionTensorHandles, but comes up for example when computing // the shape of a parallel tensor with component shapes differing across // devices.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 10 21:56:24 UTC 2023 - 4.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/execution_metadata_exporter_test.cc
%2 = "tfl.add"(%arg0, %arg3) {fused_activation_function = "RELU6", per_device_costs = {CPU = 5.0 : f32, GPU = 1.0 : f32}, tac.device = "GPU"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32> %3 = "tfl.pack"(%1, %2) {axis = 0 : i32, per_device_costs = {CPU = 2.0 : f32, GPU = -1.0 : f32}, values_count = 2 : i32, tac.device = "CPU"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<2x1xf32> func.return %3 : tensor<2x1xf32> })";
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 06:11:34 UTC 2024 - 6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/cc/config.cc
// Enable per-channel quantization for convolution weights. QuantizedType conv_weight_quantized_type{}; // Assumes NHWC format, specifying the channel dimension (3) as the // quantized axis. conv_weight_quantized_type.mutable_dimension_specs()->set_dimension(3); // The index of weight operands passed to lifted functions for convolution // is 1. StaticRangePtq& static_range_ptq_spec =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 8.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/importer_test_min_max.cc
// CHECK-NEXT: %[[fc:.*]]:2 = "tfl.fully_connected"(%[[stat]], %arg1, // CHECK-NEXT: %[[stat1:.*]] = "quantfork.stats"(%[[fc]]#0) // CHECK-SAME: <{axis = 1 : i64, // CHECK-SAME: axisStats = dense<{{\[}}[-0.000000e+00, 0.000000e+00], // CHECK-SAME: [-1.000000e+00, 1.000000e+00], // CHECK-SAME: [-2.000000e+00, 2.000000e+00]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 6.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/target-annotation.mlir
// CHECK: tac.device = "GPU", tac.inference_type = "FLOAT" %2 = "tfl.relu"(%arg0) : (tensor<1xf32>) -> tensor<1xf32> // CHECK: tac.device = "CPU", tac.inference_type = "FLOAT" %3 = "tfl.pack"(%arg0, %arg1) {axis = 0 : i32, values_count = 2 : i32} : (tensor<1xf32>, tensor<1xf32>) -> tensor<2x1xf32> func.return } func.func @notAnnotateConst(%arg0: tensor<256x32x32x3xf32>) -> tensor<256x30x30x16xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 19 19:32:06 UTC 2023 - 6.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalization_op_config_test.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 30 03:31:01 UTC 2024 - 8.4K bytes - Viewed (0) -
src/math/sin.go
j++ y++ } j &= 7 // octant modulo 2Pi radians (360 degrees) z = ((x - y*PI4A) - y*PI4B) - y*PI4C // Extended precision modular arithmetic } // reflect in x axis if j > 3 { sign = !sign j -= 4 } zz := z * z if j == 1 || j == 2 { y = 1.0 - 0.5*zz + zz*zz*((((((_cos[0]*zz)+_cos[1])*zz+_cos[2])*zz+_cos[3])*zz+_cos[4])*zz+_cos[5]) } else {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Apr 11 16:34:30 UTC 2022 - 6.4K bytes - Viewed (0)