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tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/optional.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 834 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize_batch_matmul.mlir
%cst = arith.constant dense<[1, 0]> : tensor<2xi32> %0 = "tfl.transpose"(%arg1, %cst) : (tensor<1024x128xf32>, tensor<2xi32>) -> tensor<128x1024xf32> // CHECK: "tfl.batch_matmul"(%arg0, %arg1) %1 = "tfl.fully_connected"(%arg0, %0, %arg2) {asymmetric_quantize_inputs = false, fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<16x1024xf32>, tensor<128x1024xf32>, none) -> tensor<16x128xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize_no_verify.mlir
%cst_0 = arith.constant dense<2.0> : tensor<256x10368xbf16> %cst_1 = "tfl.no_value"() {value = unit} : () -> none %cst_2 = arith.constant dense<3.0> : tensor<32x1x256xbf16> %0 = "tfl.fully_connected"(%arg0, %cst_0, %cst_1) { fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT" } : (tensor<1x10368xbf16>, tensor<256x10368xbf16>, none) -> tensor<1x256xbf16>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 5.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/external_constant.mlir
func.func @main(tensor<40x37xf32>, tensor<40x37xf32>) -> tensor<40x40xf32> { ^bb0(%arg0: tensor<40x37xf32>, %arg1: tensor<40x37xf32>): %cst = arith.constant dense<1.0> : tensor<40xf32> %0:2 = "tfl.fully_connected"(%arg0, %arg1, %cst) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<40x37xf32>, tensor<40x37xf32>, tensor<40xf32>) -> (tensor<40x40xf32>, tensor<40x40xf32>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 1.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/importer_test_min_max.cc.mlir
func.func @main(tensor<40x37xf32>, tensor<40x37xf32>) -> tensor<40x40xf32> { ^bb0(%arg0: tensor<40x37xf32>, %arg1: tensor<40x37xf32>): %cst = arith.constant dense<1.0> : tensor<40xf32> %0:2 = "tfl.fully_connected"(%arg0, %arg1, %cst) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<40x37xf32>, tensor<40x37xf32>, tensor<40xf32>) -> (tensor<40x40xf32>, tensor<40x40xf32>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 1.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/importer_test_min_max.cc
// FB-NEXT: max: [ 1.0 ] // FB-NEXT: } // FB-LABEL: name: "arg1", // FB-NEXT: quantization: { // FB-EMPTY: // FB-NEXT: } // FB-LABEL: name: "tfl.fully_connected", // FB-NEXT: quantization: { // FB-NEXT: min: [ -0.0, -1.0, -2.0, -3.0, -4.0, -5.0, -6.0, -7.0, // FB-SAME: -8.0, -9.0, -10.0, -11.0, -12.0, -13.0, -14.0, -15.0, -16.0,
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/tests/end2end/unroll_batch_matmul.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 2.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/arithmetic_count_util.h
return false; } total_count += input_type.getNumElements(); } *count = total_count; return true; } // For conv2d/depthwise_conv/fully_connected ops. // This algorithm actually comes from TOCO tooling_util.cc static bool GetArithmeticCountForConvAndFullyconnectedOp(mlir::Operation* op, int64_t* count) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 3.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize_batch_matmul.cc
OptimizeBatchMatmulPass() = default; OptimizeBatchMatmulPass(const OptimizeBatchMatmulPass &) {} void runOnOperation() override; }; // Converts batch_matmul operation to fully_connected if rhs is a // constant tensor with rank 2 struct ConvertBatchMatMulOp2FullyConnectedOp : public OpRewritePattern<TFL::BatchMatMulOp> { using OpRewritePattern<TFL::BatchMatMulOp>::OpRewritePattern;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 9.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/common/tfl_pass_config.h
// ops of the same device, under a `tf_device.launch` op. bool form_clusters = false; // If `unfold_batch_matmul` is true, the tf.BatchMatMul is unfolded to a set // of tfl.fully_connected ops. bool unfold_batch_matmul = true; // Whether to outline WhileOp at the end of the pipeline. bool outline_tf_while = false; // Whether to do shape inference. bool shape_inference = true;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 19:05:30 UTC 2024 - 6.5K bytes - Viewed (0)