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Results 41 - 50 of 113 for 2x5xf32 (0.1 sec)
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tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/prepare_quantize/prepare_quantize.mlir
%1 = "quantfork.stats"(%0) {bitsNum = 8 : i64, layerStats = dense<[-2.0, 2.0]> : tensor<2xf32>, narrowRange = false} : (tensor<2x3xf32>) -> tensor<2x3xf32> %2 = stablehlo.convert %1 : (tensor<2x3xf32>) -> (tensor<2x3xf32>) func.return %2 : tensor<2x3xf32> } // ----- // CHECK-LABEL: func @dot_redundant_stats
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 19:52:06 UTC 2024 - 8.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize_op_order.mlir
func.return %emb : tensor<2x2xf32> // CHECK-NEXT: tfl.pseudo_qconst // CHECK-NEXT: tfl.dequantize // CHECK-NEXT: tfl.gather
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 01 02:06:15 UTC 2022 - 3.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/cast_bf16.mlir
func.func @main(tensor<4x5xbf16>) -> tensor<4x5xbf16> { ^bb0(%arg0: tensor<4x5xbf16>): // CHECK-LABEL: @main // CHECK: (tensor<4x5xbf16>) -> tensor<4x5xf32> // CHECK-NEXT: (tensor<4x5xf32>) -> tensor<4x5xbf16> %0 = "tfl.cast" (%arg0) : (tensor<4x5xbf16>) -> tensor<4x5xf32> loc("cast1") %1 = "tfl.cast" (%0) : (tensor<4x5xf32>) -> tensor<4x5xbf16> loc("cast2") func.return %1 : tensor<4x5xbf16>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 18 21:28:19 UTC 2024 - 596 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model/multi_variables_v1.py
# CHECK-SAME: -> (tensor<5x5xf32> {{{.*}}}) # CHECK-SAME: attributes {{.*}} tf_saved_model.exported_names = ["key"] # CHECK-NEXT: [[R0:%.*]] = "tf.ReadVariableOp"([[ARG0]]) {{{.*}}} : (tensor<!tf_type.resource<tensor<5x3xf32>>>) -> tensor<5x3xf32> # CHECK-NEXT: [[R1:%.*]] = "tf.ReadVariableOp"([[ARG1]]) {{{.*}}} : (tensor<!tf_type.resource<tensor<3x5xf32>>>) -> tensor<3x5xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:49:35 UTC 2023 - 2.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/reshape.mlir
// Confirm we can extract type info from reshape func.func @main() -> tensor<2x2xf32> { // CHECK: %[[cst:.*]] = "tfl.pseudo_const"() <{value = dense<2> : tensor<2xi32>}> : () -> tensor<2xi32> // CHECK: %{{.*}} = "tfl.reshape"(%{{.*}}, %[[cst]]) : (tensor<4xf32>, tensor<2xi32>) -> tensor<2x2xf32> %cst = arith.constant dense<[2, 2]> : tensor<2xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 730 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/lower_quantized.mlir
// CHECK-DAG: return %[[RESULT]] func.return %0 : tensor<2x3xf32> } // CHECK-LABEL: dequantize_quint8 func.func @dequantize_quint8(%arg0: tensor<2x3x!tf_type.quint8>, %min_range: tensor<f32>, %max_range: tensor<f32>) -> tensor<2x3xf32> { // CHECK-NEXT: %[[C255:.*]] = "tf.Const"() <{value = dense<2.550000e+02> : tensor<f32>}>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 2.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/prepare_quantize/prepare_quantize_per_channel.mlir
} : (tensor<2x2xf32>, tensor<2x2xf32>) -> tensor<2x2xf32> %2 = "quantfork.stats"(%1) {layerStats = dense<[0.000000e+00, 6.000000e+00]> : tensor<2xf32>} : (tensor<2x2xf32>) -> tensor<2x2xf32> return %2 : tensor<2x2xf32> } // CHECK-LABEL: composite_dot_general func.func private @composite_dot_general(%arg0: tensor<2x2xf32>, %arg1: tensor<2x2xf32>) -> tensor<2x2xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 26 07:48:15 UTC 2024 - 8.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/tests/rewrite_quantized_io.mlir
%arg1: tensor<1x5xf32>) -> (tensor<1x10x!quant.uniform<i8:f32, 0.2:42>>, tensor<1x5xf32>) { %0 = "tf.MyRequantize"(%arg0) : (tensor<1x10x!quant.uniform<i8:f32, 0.1:-128>>) -> tensor<1x10x!quant.uniform<i8:f32, 0.2:42>> %1 = "tf.Intermediate"(%arg1) : (tensor<1x5xf32>) -> tensor<1x5xf32> func.return %0, %1 : tensor<1x10x!quant.uniform<i8:f32, 0.2:42>>, tensor<1x5xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 2.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v1/compile_tf_graph_test.cc
%outputs_5, %control_6 = tf_executor.island(%control_4) wraps "tf._XlaHostComputeMlir"() {host_mlir_module = "module {\0A func.func @host_func() -> tensor<1x2xf32> {\0A %0 = \22tf.Const\22() {value = dense<0.1> : tensor<1x2xf32>} : () -> tensor<1x2xf32> \0A return %0 : tensor<1x2xf32>}}", manual_sharding = true, recv_key = "host_compute_channel_1_retvals", send_key = "host_c...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 13 08:08:57 UTC 2024 - 11.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/README.md
%3 = "tfl.reshape"(%2, %cst_0) {tac.device = "GPU", tac.inference_type = "FLOAT"} : (tensor<1x1x1x2xf32>, tensor<1xi32>) -> tensor<2xf32> %4 = "tfl.reshape"(%3, %cst_1) {tac.device = "GPU", tac.inference_type = "FLOAT"} : (tensor<2xf32>, tensor<2xi32>) -> tensor<2x1xf32> return %4 : tensor<2x1xf32> } ``` #### Compute Costs Pass In the compute cost pass, we will essentially compute the cost of each op within
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 29 18:32:13 UTC 2022 - 11.6K bytes - Viewed (0)