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Results 11 - 20 of 153 for conv_2d (1.04 sec)
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tensorflow/compiler/mlir/lite/experimental/tac/tests/target-annotation.mlir
func.func @testConv(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<16x3x3x3xf32>, %arg2: tensor<16xf32>) -> tensor<256x30x30x16xf32> { // CHECK: tac.device = "GPU", tac.inference_type = "FLOAT"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 19 19:32:06 UTC 2023 - 6.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/default_quant_params.mlir
%1 = "tfl.dequantize"(%arg1) : (tensor<32x3x3x3x!quant.uniform<u8<1:255>:f32, 1.0>>) -> tensor<32x3x3x3xf32> %2 = "tfl.dequantize"(%arg2) : (tensor<32x!quant.uniform<i32:f32, 1.0>>) -> tensor<32xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 8.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/empty_input_output_names.json
// If input and output tensors don't have names, there shouldn't be an // `tf.entry_function` attribute created. // CHECK-NOT: tf.entry_function { "version": 3, "operator_codes": [ { "builtin_code": "CONV_2D" } ], "subgraphs": [ { "tensors": [ { "shape": [ 256, 32, 32, 3 ], "quantization": {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 11 21:03:18 UTC 2023 - 1.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/quantization.mlir
// CHECK-NEXT: version: 1, // CHECK-NEXT: builtin_code: QUANTIZE // CHECK-NEXT: }, { // CHECK-NEXT: deprecated_builtin_code: 3, // CHECK-NEXT: version: 1, // CHECK-NEXT: builtin_code: CONV_2D // CHECK-NEXT: }, { // CHECK-NEXT: deprecated_builtin_code: 22, // CHECK-NEXT: version: 1, // CHECK-NEXT: builtin_code: RESHAPE // CHECK-NEXT: }, { // CHECK-NEXT: deprecated_builtin_code: 25,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 14 16:41:28 UTC 2022 - 11.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize.mlir
%conv2 = "tfl.conv_2d"(%4, %5, %cst) {dilation_h_factor = 1 : i32, dilation_w_factor = 1 : i32, fused_activation_function = "NONE", padding = "SAME", stride_h = 2 : i32, stride_w = 2 : i32} : (tensor<1x112x112x32xf32>, tensor<32x3x3x3xf32>, tensor<32xf32>) -> tensor<1x56x56x32xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 67.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/quantize-numeric-verify.mlir
// DEBUG: %[[act:.*]] = "tfl.dequantize"(%arg0) : (tensor<1x224x224x3x!quant.uniform<u8:f32, 7.812500e-03:128>>) -> tensor<1x224x224x3xf32> // DEBUG: %[[f_conv:.*]] = "tfl.conv_2d"(%[[act]], %[[wt]], %[[bias]]) // DEBUG: %[[q_conv:.*]] = "tfl.conv_2d" // DEBUG: "tfl.NumericVerify"(%[[q_conv]], %[[f_conv]]) <{log_if_failed = true, tolerance = 5.000000e+00 : f32}>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 15.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/BUILD
":test_utilities", ], driver = "@llvm-project//mlir:run_lit.sh", size_override = { "quant_stats.pbtxt": "medium", }, tags_override = { "add.pbtxt": ["no_rocm"], "conv_2d.pbtxt": ["no_rocm"], "fake_quant_per_channel.pbtxt": ["no_rocm"], }, test_file_exts = [ "pbtxt", ], ) # Bundle together all of the test utilities that are used by tests. filegroup(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 08 15:18:46 UTC 2023 - 1.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_driver_test.cc
} func.func private @composite_fn_1(%arg0: tensor<1x4x4x3xf32>, %arg1: tensor<3x1x1x3xf32>, %arg2: tensor<3xf32>) -> tensor<1x4x4x3xf32> attributes {tf_quant.composite_function} {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 7.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization.td
tensor<64x3x3x3xf32> %conv = "tfl.conv_2d"(%input_act, %w, %bias) but if it is supported, it will be rewritten as: %q_w = "tfl.pseudo_qconst"() { qtype = tensor<64x3x3x3x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>> %conv = "tfl.conv_2d"(%input_act, %q_w, %bias) Note that this is part of reaching feature parity with the old quantizer for
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 05 07:39:40 UTC 2024 - 8.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/get-arithmetic-count.mlir
^bb0(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<16x3x3x3xf32>, %arg2: tensor<16xf32>): // CHECK: _arithmetic_count = 230686720 : i64
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 14 04:58:17 UTC 2022 - 7.7K bytes - Viewed (0)