- Sort Score
- Result 10 results
- Languages All
Results 51 - 60 of 1,404 for tensor2 (0.19 sec)
-
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/while_op.mlir
"tfl.yield"(%1#0, %1#1) : (tensor<*xi32>, tensor<*xf32>) -> () }) {is_stateless = false} : (tensor<i32>, tensor<1xf32>) -> (tensor<i32>, tensor<1xf32>) func.return %0#1 : tensor<1xf32> } func.func @cond(%arg0: tensor<*xi32>, %arg1: tensor<*xf32>) -> tensor<i1> { %cst = arith.constant dense<0> : tensor<i32> loc("Const") %0 = "tfl.greater"(%arg0, %cst) : (tensor<*xi32>, tensor<i32>) -> tensor<i1>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 14 16:41:28 UTC 2022 - 7.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/quantization_info.proto
oneof name_oneof { string name = 1; // An regex can be used to match multiple tensors. string name_regex = 2; } // The quantization parameters for the tensor. If it is for per-axis, the // parameters should be defined for each axis, otherwise, if it is for // per-tensor, this repeated field should only contain a single element. repeated PerAxisParams params = 3;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 08 03:45:04 UTC 2019 - 2.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/dynamic_shape_constant.mlir
func.func @main(%arg0: tensor<2xi32>) -> tensor<2xi32> { %cst = "tfl.pseudo_const"() {value = dense<[1, 2]> : tensor<2xi32>} : () -> tensor<?xi32> %0 = "tfl.add"(%arg0, %cst) {fused_activation_function = "NONE"} : (tensor<2xi32>, tensor<?xi32>) -> tensor<2xi32> func.return %0 : tensor<2xi32> } // CHECK: tensors: [ { // CHECK-NEXT: shape: [ 2 ], // CHECK-NEXT: type: INT32,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 14 16:41:28 UTC 2022 - 810 bytes - Viewed (0) -
tensorflow/c/eager/gradients.h
const string& op_name = ""); // Returns whether any tensor in a list of tensors is being watched and has // a trainable dtype. bool ShouldRecord( absl::Span<const AbstractTensorHandle* const> tensors) const; // Unwatches this tensor on the tape. Mainly used for cleanup when deleting // eager tensors. void DeleteTrace(const AbstractTensorHandle*);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Sep 26 10:27:05 UTC 2022 - 6.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/uniform_quantized_stablehlo_to_tfl_pass.cc
// // Conditions for `tfl.fully_connected` conversion: // * Input tensors are per-tensor uniform quantized (i8->f32) // tensors. // * The filter tensor is constant a per-tensor uniform quantized (i8->f32) // tensor. The quantization dimension should be 1 (the non-contracting // dimension). // * Output tensors are per-tensor uniform quantized (i8->f32) or // per-channel uniform quantized (i32->f32) tensors.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 22 09:00:19 UTC 2024 - 99.8K bytes - Viewed (0) -
tensorflow/cc/experimental/libtf/function.cc
if (value.type() != TaggedValue::Type::TENSOR) { return false; } auto spec = signature.tensor_spec(); const auto& tensor = value.tensor(); if (tensor->DataType() != spec.dtype) { return false; } tensorflow::PartialTensorShape tensor_shape; DCHECK(tensor->Shape(&tensor_shape).ok()); if (!tensor_shape.IsCompatibleWith(spec.shape)) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 04 19:49:06 UTC 2024 - 9.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/tf2xla_rewriter.cc
} tensors.emplace_back( device_->GetAllocator(tensorflow::AllocatorAttributes()), expr.dtype(), shape_or.value()); tensorflow::Tensor& tensor = tensors.back(); tensorflow::XlaExpression::AssignExpressionToTensor(expr, &tensor); inputs.emplace_back(&tensor); } return success(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:16:07 UTC 2024 - 18.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/variant_type_on_func.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Aug 16 20:36:14 UTC 2022 - 1.4K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device_lib.h
std::vector<TFE_TensorHandle*> result; result.reserve(tensors_.size()); for (const TensorHandlePtr& tensor : tensors_) { result.emplace_back(tensor.get()); } return result; } private: ParallelTensor(const ParallelDevice& device, std::vector<TensorHandlePtr> tensors, absl::Span<const int64_t> shape, const TF_DataType dtype) : device_(device),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 25 15:21:13 UTC 2023 - 12.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/importer_test_min_max.cc
// FB-NEXT: } ], // CHECK-LABEL: func @main(%arg0: tensor<40x37xf32>, %arg1: tensor<40x37xf32>) // CHECK-SAME: -> tensor<40x40xf32> // CHECK: %[[stat:.*]] = "quantfork.stats"(%arg0) <{layerStats = dense // CHECK-SAME: <[-1.000000e+00, 1.000000e+00]> : tensor<2xf32>}> // CHECK-SAME: : (tensor<40x37xf32>) -> tensor<40x37xf32> // CHECK-NEXT: %[[cst:.*]] = "tfl.pseudo_const"() <{value = dense<
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 6.8K bytes - Viewed (0)