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tensorflow/compiler/mlir/lite/tests/end2end/fake_quant_per_channel_4bit.pbtxt
} # MLIR-LABEL: func @main # MLIR-SAME: (%[[ARG_0:[a-z0-9]+]]: tensor<1x1x1x256x!quant.uniform<i8:f32, 0.21632751372549019:27>>) -> tensor<1x6x31x!quant.uniform<i8:f32, 0.09363494573854933:22>> # MLIR-SAME: control_outputs = "" # MLIR-SAME: inputs = "input" # MLIR-SAME: outputs = "output" # MLIR: %[[shape:.*]] = arith.constant dense<[1, -1, 31]> : tensor<3xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 18.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/constant-fold.mlir
} // CHECK-LABEL: func @testPow // CHECK-SAME:(%[[ARG_0:.*]]: tensor<4xf32>, %[[ARG_1:.*]]: tensor<4xf32>) -> (tensor<4xf32>, tensor<4xf32>, tensor<4xf32>) func.func @testPow(%arg0: tensor<4xf32>, %arg1: tensor<4xf32>) -> (tensor<4xf32>, tensor<4xf32>, tensor<4xf32>) { %cst_zero = arith.constant dense<0.0> : tensor<f32> %cst_one = arith.constant dense<1.0> : tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jan 31 23:22:24 UTC 2024 - 36.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-communication.mlir
"mhlo.return"(%0, %1) : (tensor<f32>, tensor<f32>) -> () }, { "mhlo.return"(%0, %1) : (tensor<f32>, tensor<f32>) -> () // CHECK: (tensor<i1>) -> (tensor<f32>, tensor<f32>, !mhlo.token) }) : (tensor<i1>) -> (tensor<f32>, tensor<f32>) // CHECK: [[IF_SUBTUPLE_RESULT:%.*]] = mhlo.tuple [[IF]]#0, [[IF]]#1
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 08 18:24:20 UTC 2024 - 38.3K bytes - Viewed (0) -
tensorflow/c/kernels_experimental.cc
// copy-on-read mode is false. if (var->tensor()->RefCountIsOne()) { var->copy_on_read_mode.store(true); return absl::OkStatus(); } Tensor tmp; if (variantType) { AllocatorAttributes attr; attr.set_on_host(true); TF_RETURN_IF_ERROR(context->allocate_temp( var->tensor()->dtype(), var->tensor()->shape(), &tmp, attr)); const auto elements_in = var->tensor()->flat<Variant>();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 23 06:12:29 UTC 2024 - 30.9K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_device.cc
// on-device shape. This is accurate for CPU and GPU devices that neither // transpose nor pad tensors. Status DefaultPaddedShapeFn(const Tensor& tensor, xla::Shape* shape) { const tensorflow::XlaTensor* xla_tensor = tensorflow::XlaTensor::FromTensor(&tensor); if (xla_tensor == nullptr) { return TensorShapeToXLAShape(tensor.dtype(), tensor.shape(), shape); } const xla::ShapedBuffer& shaped_buffer = xla_tensor->shaped_buffer();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 20 21:05:42 UTC 2024 - 24.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/passes.h
// Legalize TensorList Ops iff all of them are supported. std::unique_ptr<OperationPass<ModuleOp>> CreateLegalizeTensorListPass(); // Reduce the type precision of some tensor types if all values within that // tensor are within the range of the reduced precision. std::unique_ptr<OperationPass<ModuleOp>> CreateReduceTypePrecisionPass(); // Convervatively pushes transposes through elementwise ops to prepare
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 07 21:29:34 UTC 2024 - 10.9K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.h
TF_Status* status, void* device_info); // Method to copy a tensor from the custom device to a target device. TFE_TensorHandle* (*copy_tensor_from_device)(TFE_Context* context, TFE_TensorHandle* tensor,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 22:37:46 UTC 2024 - 39.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/replace_cast_hacks_with_tf_xla_ops.cc
} return true; } // Calculates other_tensor_zp * tensor for zero point offset calculation. // Things to do: // 1. Reduce the tensor (which is an input of XlaDotV2) with contracting // dimensions of XlaDotV2. // - The resultant dimension must match with XlaDotV2 resultant dimension // 2. Multiply it with zero point from the other tensor. // We decided to use tf.Einsum for step 1, since it would require transposes/
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 47.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/prepare_quantize_drq.cc
// criteria for determining quantizable ops differs by the inference type. bool getQuantizableOps(arith::ConstantOp op, QuantizationUnits& quantizable_ops) const { // Non-float tensors do not need quantization. auto type = mlir::dyn_cast<ShapedType>(op.getType()); if (!type || !type.getElementType().isF32()) return false; Value value = op.getResult();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 11.5K bytes - Viewed (0) -
tensorflow/c/eager/c_api.cc
"TFE_TensorHandleDeviceMemorySize may not be called on a ", handle->TypeString(), " tensor handle."); return 0; } const tensorflow::Tensor* tensor; status->status = handle->Tensor(&tensor); if (!status->status.ok()) { return 0; } return tensor->TotalBytes(); } TFE_Op* TFE_NewOp(TFE_Context* ctx, const char* op_or_function_name,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 08:11:23 UTC 2024 - 44K bytes - Viewed (0)