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Results 1 - 10 of 25 for tensor2 (0.35 sec)
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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/compiler/mlir/lite/ir/tfl_ops.td
SameOperandsAndResultsScale]> { let summary = "Packs a list of tensors along a dimension into one tensor"; let description = [{ Packs a list of `values_count` rank-`R` tensors into one rank-`(R+1)` tensor. Packs the `values_count` tensors in `values` into a tensor with rank one higher than each tensor in `values`, by packing them along the `axis` dimension.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0) -
tensorflow/c/c_api.cc
// Input tensors const std::vector<std::pair<string, Tensor>>& input_pairs, // Output tensors const std::vector<string>& output_tensor_names, TF_Tensor** c_outputs, // Target nodes const std::vector<string>& target_oper_names, TF_Buffer* run_metadata, TF_Status* status) { const int noutputs = output_tensor_names.size(); std::vector<Tensor> outputs(noutputs); Status result;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 15 03:35:10 UTC 2024 - 102.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.td
} return %graph#0, %graph#1, %graph#2, %graph#3 : !tf_res, !tf_res, tensor<f32>, tensor<f32> } ``` After: ```mlir func @while_body(%arg0: !tf_res, %arg1: !tf_res, %arg2: tensor<f32>, %arg3: tensor<f32>, %chain_0: tensor<i32>, %chain_1: tensor<i32>) -> (!tf_res, !tf_res, tensor<f32>, tensor<f32>, tensor<i32>, tensor<i32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 99.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/uniform-quantized-stablehlo-to-tfl.mlir
func.func @uniform_dequantize_op(%arg: tensor<2x2x!quant.uniform<i8:f32, 1.000000e+0:8>>) -> tensor<2x2xf32> { %0 = stablehlo.uniform_dequantize %arg : (tensor<2x2x!quant.uniform<i8:f32, 1.000000e+0:8>>) -> tensor<2x2xf32> return %0 : tensor<2x2xf32> } // CHECK-LABEL: uniform_dequantize_op // CHECK: %[[DEQUANT:.+]] = "tfl.dequantize"({{.*}}) : (tensor<2x2x!quant.uniform<i8:f32, 1.000000e+00:8>>) -> tensor<2x2xf32> // CHECK: return %[[DEQUANT]]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 106.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir
// CHECK: %[[ADD:.*]] = "tf.Add"(%[[MUL]], %[[MUL]]) : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32> // CHECK: return %[[ADD]] : tensor<1xf32> %0 = "tf.Mul"(%arg0, %arg0) : (tensor<1xf32>, tensor<1xf32>) -> tensor<*xf32> %1 = "tf.Add"(%0, %0) : (tensor<*xf32>, tensor<*xf32>) -> tensor<*xf32> func.return %1 : tensor<*xf32> } // CHECK-LABEL: func @simple_chain_with_broadcast
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 17:24:10 UTC 2024 - 167.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/flatbuffer_export.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:41:49 UTC 2024 - 164.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir
func.func @testBroadcastGradientArgs(%s0: tensor<4xi32>, %s1: tensor<4xi32>) -> (tensor<1xi32>, tensor<0xi32>) { %r0, %r1 = "tf.BroadcastGradientArgs"(%s0, %s1) : (tensor<4xi32>, tensor<4xi32>) -> (tensor<1xi32>, tensor<0xi32>) func.return %r0, %r1 : tensor<1xi32>, tensor<0xi32> } // ----- func.func @testBroadcastGradientArgsIncompatibleInputType(%s0: tensor<4xi32>, %s1: tensor<4xi64>) -> (tensor<1xi32>, tensor<0xi32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 23 14:40:35 UTC 2023 - 236.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/translate/import_model.cc
return errors::FailedPrecondition( "Feed output tensor must be a data output '", tensor.ToString(), "'"); auto& node = feeds_by_node[tensor.node()]; if (!node.insert({tensor.index(), &input}).second) return errors::FailedPrecondition( "Multiple feeds for the same output tensor '", tensor.ToString(), "'"); } return feeds_by_node; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 01 11:17:36 UTC 2024 - 183.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_a_m.cc
return op.emitOpError("requires min to be a 1d float tensor"); auto max = GetRankedTensorTypeForOperand(op.getMax()); if (max && !IsOfRankedFloatTensorType(max, 1)) return op.emitOpError("requires max to be a 1d float tensor"); Value inputs = op.getInputs(); if (!HasRankAtLeast(inputs, 1)) return op.emitError("requires inputs to be at least 1d float tensor"); int64_t num_bits = op.getNumBits();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 146.7K bytes - Viewed (0)