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Results 1 - 6 of 6 for 0xf32 (0.04 sec)
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tensorflow/compiler/mlir/tensorflow/tests/freeze_variables.mlir
} // CHECK-LABEL: @body(%arg0: tensor<0xf32>) -> tensor<0xf32> func.func private @body(%arg0:tensor<0xf32>, %arg1:tensor<*x!tf_type.resource>) -> (tensor<0xf32>, tensor<*x!tf_type.resource>) { %val = "tf.ReadVariableOp"(%arg1) : (tensor<*x!tf_type.resource>) -> (tensor<0xf32>) %0 = "tf.Mul"(%val, %arg0) : (tensor<0xf32>, tensor<0xf32>) -> tensor<0xf32> func.return %0, %arg1 : tensor<0xf32>, tensor<*x!tf_type.resource> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 23.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-post-training-16bits.mlir
%10 = "tfl.pseudo_const"() {value = dense<0.000000e+00> : tensor<3xf32>} : () -> tensor<3xf32> %11 = "tfl.pseudo_const"() {value = dense<1.000000e+00> : tensor<3xf32>} : () -> tensor<3xf32> %recurrent_input = "tfl.pseudo_const"() {value = dense<0.000000e+00> : tensor<1x3xf32>} : () -> tensor<1x3xf32> %recurrent_stats = "quantfork.stats"(%recurrent_input) {layerStats = dense<[0.0, 1.0]> : tensor<2xf32>} : (tensor<1x3xf32>) -> tensor<1x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 26.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/lstm.mlir
"TANH", input_to_cell_intermediate = tensor<0xf32>, input_to_forget_intermediate = tensor<0xf32>, input_to_input_intermediate = tensor<0xf32>, input_to_output_intermediate = tensor<0xf32>, proj_clip = 0.000000e+00 : f32, time_major = false} : (tensor<?x?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>, tensor<?x?xf32>, tensor<?xf32>, tensor<?xf32>, tensor<?xf32>, tensor<?xf32>, tensor<?xf32>, tensor<?xf32>, tensor<?xf32>,...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/unidirectional_sequence_lstm.mlir
func.func @main(tensor<4x4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4x4xf32>, tensor<4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>) -> tensor<4x4x4xf32> { // CHECK: { // CHECK-NEXT: version: 3, // CHECK-NEXT: operator_codes: [ {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 06 18:55:51 UTC 2023 - 11.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-with-tf2xla-hlo-importer.mlir
func.return %0#0 : tensor<8x8x8x8xf32> } // CHECK-LABEL: fusedBatchNormV3_training
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 38.6K bytes - Viewed (0) -
src/cmd/vendor/golang.org/x/text/language/tables.go
// can typically also read the other. Each is associated with a confidence. var matchScript = []scriptIntelligibility{ // 26 elements 0: {wantLang: 0x432, haveLang: 0x432, wantScript: 0x5b, haveScript: 0x20, distance: 0x5}, 1: {wantLang: 0x432, haveLang: 0x432, wantScript: 0x20, haveScript: 0x5b, distance: 0x5}, 2: {wantLang: 0x58, haveLang: 0x3e2, wantScript: 0x5b, haveScript: 0x20, distance: 0xa},
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Jan 24 13:01:26 UTC 2024 - 14.2K bytes - Viewed (0)